Senior AI Engineer
I'm a Senior AI Engineer with 3+ years of experience and Founder of DevFuzzion.com
“AI agents are just LLMs with a to-do list and too much coffee.”
“An LLM is like Google, but with more confidence and fewer facts.”
Senior AI Engineer
Aditya Sakpal
Brief initial presentation of myself
Available for work
Available for work
Available for work
Hello I am Aditya Sakpal
Senior AI Engineer and Founder of DevFuzzion Based in Mumbai, India .
I'm Aditya Sakpal, a dedicated AI specialist based in the vibrant city of Mumbai, India. Open to work with cool startups and even with established business out there .
Pipeline Architect
RAG
AI Agents
Chatbots
LLM Finetuning
Prompt Engineering
NLP Tasks
Minor Projects
How it works
Process Is Everything
Simple, streamlined process is what get's you results
1
Let's Get In Touch
Start by reaching out through my contact page. Share your ideas, business challenges, or automation needs we’ll map out how AI can transform your workflow.
Step 1
2
Identify Opportunities
I’ll analyze your goals and pinpoint areas where AI, automation, or custom software can save time, cut costs, and boost efficiency.
Step 2
3
Build Smart Solutions
From AI agents and chatbots to full-scale apps and automations, I’ll design and develop scalable, intelligent systems tailored to your business.
Step 3
4
Deliver & Support
Get a fully deployed, production-ready solution with continuous support, updates, and optimization to ensure long-term success.
Step 4
1
Let's Get In Touch
Start by reaching out through my contact page. Share your ideas, business challenges, or automation needs we’ll map out how AI can transform your workflow.
Step 1
2
Identify Opportunities
I’ll analyze your goals and pinpoint areas where AI, automation, or custom software can save time, cut costs, and boost efficiency.
Step 2
3
Build Smart Solutions
From AI agents and chatbots to full-scale apps and automations, I’ll design and develop scalable, intelligent systems tailored to your business.
Step 3
4
Deliver & Support
Get a fully deployed, production-ready solution with continuous support, updates, and optimization to ensure long-term success.
Step 4
1
Let's Get In Touch
Start by reaching out through my contact page. Share your ideas, business challenges, or automation needs we’ll map out how AI can transform your workflow.
Step 1
2
Identify Opportunities
I’ll analyze your goals and pinpoint areas where AI, automation, or custom software can save time, cut costs, and boost efficiency.
Step 2
3
Build Smart Solutions
From AI agents and chatbots to full-scale apps and automations, I’ll design and develop scalable, intelligent systems tailored to your business.
Step 3
4
Deliver & Support
Get a fully deployed, production-ready solution with continuous support, updates, and optimization to ensure long-term success.
Step 4
I am with you in every step
alongside you at each step for seamless experience
Education
Education
"Memorize → Vomit on Paper → Forget → Repeat”
Somaiya University
Bachelors of Science in Information Technology
CGPA : 9.05/10
2021-2024
National Aptitude Test of Architecture
Score : 151/200 (Qualified of B.Arch)
2020-2021
Somaiya Junior College
HSC Science : 64%
2018-2020
St. Sebastian's High School
SSC : 87%
2006-2018
Python
FastAPI
LangChain
LlamaIndex
LangGraph
LangSmith
Eliza
Rasa
PhiData
Scikit-Learn
OpenAI
PyTorch
Gemini
Qlora
Transformers
Ollma
Flask
Weaviate
Azure
Pinecone
Quadrant
Faiss
Azure OpenAI
Next JS
TailWind CSS
TypeScript
Docker
Express JS
React JS
Node JS
Cursor
Vs Code
WinSCP
Post Collection
GItHub
Redux
Socket.io
MS Copilot
Material UI
Zod
Redux Toolkit
Firebase
Oracle
MySQL
MongoDB
AZ-204
Stephen sures
Equips developers with the skills to design, build, test, and maintain cloud applications using Microsoft Azure’s wide range of services and integrations.
AI-900
Microsoft
Provides a solid foundation in AI and machine learning concepts while introducing Azure’s machine learning tools and services for real-world applications.
Unsupervised Learning
Stephen sures
Focuses on clustering, dimensionality reduction, and pattern discovery without labeled data.
Supervised Learning
Stanford University
Focuses on algorithms like regression, classification, and model evaluation, teaching how to train accurate models on labeled data.
Advanced ML Algorithms
Stephen sures
Provides in depth knowledge of advanced algorithms like ensemble methods, boosting, and optimization strategies for high-performing models.
ML Specialization
Stanford University
A comprehensive program covering supervised and unsupervised learning, ML pipelines, model deployment, and real-world case studies.
Deep Learning
Stephen sures
Introduces the fundamentals of deep neural networks, optimization techniques, and practical applications such as computer vision and NLP.
AI Workflow
IBM
Explains the end-to-end AI development lifecycle, from gathering and preparing data to building, deploying, and monitoring intelligent systems.
Crash Course on Python
Stephen sures
Introduces Python programming fundamentals for problem solving and automation.
React JS
Meta
Covers building dynamic, interactive web applications using React components, hooks, and state management techniques.
Crash Course on SQL
Stephen sures
Introduces relational databases and SQL queries, teaching how to create, manage, and analyze structured data effectively.
Cloud Data Management
Oracle
Teaches best practices for managing, storing, and optimizing enterprise data securely in cloud environments.
MongoDB Atlas
Stephen sures
Introduces managing, scaling, and securing cloud-hosted databases with MongoDB Atlas.
Data Modelling
MongoDB
Focuses on schema design, relationships, and performance optimization for structuring data effectively in MongoDB.
Python Libraries
Stephen sures
Covers essential Python libraries like NumPy, Pandas, and Matplotlib for data analysis, visualization, and scientific computing.
Python Libraries
Stephen sures
Covers essential Python libraries like NumPy, Pandas, and Matplotlib for data analysis, visualization, and scientific computing.
AI-900
Microsoft
Provides a solid foundation in AI and machine learning concepts while introducing Azure’s machine learning tools and services for real-world applications.
Supervised Learning
Stanford University
Focuses on algorithms like regression, classification, and model evaluation, teaching how to train accurate models on labeled data.
ML Specialization
Stanford University
A comprehensive program covering supervised and unsupervised learning, ML pipelines, model deployment, and real-world case studies.
AI Workflow
IBM
Explains the end-to-end AI development lifecycle, from gathering and preparing data to building, deploying, and monitoring intelligent systems.
React JS
Meta
Covers building dynamic, interactive web applications using React components, hooks, and state management techniques.
Cloud Data Management
Oracle
Teaches best practices for managing, storing, and optimizing enterprise data securely in cloud environments.
Data Modelling
MongoDB
Focuses on schema design, relationships, and performance optimization for structuring data effectively in MongoDB.
Crash Course on JAVA
Great Learning
Covers Java fundamentals, object-oriented programming principles, and robust application development with hands-on examples.
Why choose me
Why me as AI Engineer
Why select me as your AI Engineer
Skilled AI Engineer
Leverage cutting-edge AI expertise with hands-on experience in automation, LLMs, and scalable systems to deliver reliable, future-proof solutions.
Amateur Developer
Limited knowledge of AI frameworks and workflows can lead to unstable systems, poor accuracy, and missed business opportunities.
Skilled AI Engineer
Leverage cutting-edge AI expertise with hands-on experience in automation, LLMs, and scalable systems to deliver reliable, future-proof solutions.
Amateur Developer
Limited knowledge of AI frameworks and workflows can lead to unstable systems, poor accuracy, and missed business opportunities.
Future-Ready Solutions
Building intelligent, adaptable AI agents and automation pipelines designed to evolve with your business and industry trends.
Outdated Systems
Relying on legacy scripts and outdated workflows risks inefficiency, data errors, and slow business processes.
Future-Ready Solutions
Building intelligent, adaptable AI agents and automation pipelines designed to evolve with your business and industry trends.
Outdated Systems
Relying on legacy scripts and outdated workflows risks inefficiency, data errors, and slow business processes.
Client-Centric Collaboration
Your goals drive the solution I work closely with you to design AI systems that match your vision and deliver measurable outcomes.
Detached Execution
Generic, one-size-fits-all AI solutions often fail to address unique business needs and lack long-term impact.
Client-Centric Collaboration
Your goals drive the solution I work closely with you to design AI systems that match your vision and deliver measurable outcomes.
Detached Execution
Generic, one-size-fits-all AI solutions often fail to address unique business needs and lack long-term impact.
Transparent Project Tracking
Stay updated with clear roadmaps, progress updates, and reliable deliverables ensuring on-time and high-quality outcomes.
Unstructured & Unreliable Work
Disorganized workflows and delayed iterations can result in buggy, half-baked AI solutions that drain resources.
Transparent Project Tracking
Stay updated with clear roadmaps, progress updates, and reliable deliverables ensuring on-time and high-quality outcomes.
Unstructured & Unreliable Work
Disorganized workflows and delayed iterations can result in buggy, half-baked AI solutions that drain resources.
Experience
Previous Employers
3+ years of experience
6
companies
6
companies
6
companies
10 LPA
Last package
10 LPA
Last package
10 LPA
Last package
4.8
Average Rating
4.8
Average Rating
4.8
Average Rating
DevFuzzion, India
Founder
Jan 2025-Present
Delivering custom AI based solutions to business out there Managing a team of 6 people Building AI Agents and chatbots for several businesses out there .
DevFuzzion, India
Founder
Jan 2025-Present
Delivering custom AI based solutions to business out there Managing a team of 6 people Building AI Agents and chatbots for several businesses out there .
DevFuzzion, India
Founder
Jan 2025-Present
Delivering custom AI based solutions to business out there Managing a team of 6 people Building AI Agents and chatbots for several businesses out there .
JuteQ Inc , Canada
Senior AI Engineer
July.2024-Sep.2025
Created AI Agents using Langgraph and PHIData, integrated frontend and backend with Livekit, and enabled custom agent creation through the Eliza framework. Enhanced prompts, improved query routing, and leveraged Langsmith for debugging along with advanced Prompt Engineering. Designed multiple agentic workflows delivering business outcomes, including retrieving JSON schema outputs from OpenAI and streaming its API with FastAPI integration. Built an estimate tool for resolving roofing issues, designed a complete chatbot pipeline for a DAO (Decentralized Autonomous Organization), and implemented Redis caching for memory optimization. Scraped data from platforms like Telegram and Discord, extracted insights from BRSR reports and financial statements using LLMs, and managed Supabase DB schemas with custom RPC functions. Built APIs with FastAPI, integrated authentication with Clerk and Swix, contributed to frontend development using Next.js, and deployed applications on Azure.
JuteQ Inc , Canada
Senior AI Engineer
July.2024-Sep.2025
Created AI Agents using Langgraph and PHIData, integrated frontend and backend with Livekit, and enabled custom agent creation through the Eliza framework. Enhanced prompts, improved query routing, and leveraged Langsmith for debugging along with advanced Prompt Engineering. Designed multiple agentic workflows delivering business outcomes, including retrieving JSON schema outputs from OpenAI and streaming its API with FastAPI integration. Built an estimate tool for resolving roofing issues, designed a complete chatbot pipeline for a DAO (Decentralized Autonomous Organization), and implemented Redis caching for memory optimization. Scraped data from platforms like Telegram and Discord, extracted insights from BRSR reports and financial statements using LLMs, and managed Supabase DB schemas with custom RPC functions. Built APIs with FastAPI, integrated authentication with Clerk and Swix, contributed to frontend development using Next.js, and deployed applications on Azure.
JuteQ Inc , Canada
Senior AI Engineer
July.2024-Sep.2025
Created AI Agents using Langgraph and PHIData, integrated frontend and backend with Livekit, and enabled custom agent creation through the Eliza framework. Enhanced prompts, improved query routing, and leveraged Langsmith for debugging along with advanced Prompt Engineering. Designed multiple agentic workflows delivering business outcomes, including retrieving JSON schema outputs from OpenAI and streaming its API with FastAPI integration. Built an estimate tool for resolving roofing issues, designed a complete chatbot pipeline for a DAO (Decentralized Autonomous Organization), and implemented Redis caching for memory optimization. Scraped data from platforms like Telegram and Discord, extracted insights from BRSR reports and financial statements using LLMs, and managed Supabase DB schemas with custom RPC functions. Built APIs with FastAPI, integrated authentication with Clerk and Swix, contributed to frontend development using Next.js, and deployed applications on Azure.
Infigos Solutions , US
AI Developer
July.2024-Sep.2025
Created an AI system for predicting anomalies in finance data to identify fraud, with the model developed in Red Hat Decision Manager. Developed backend and frontend for IFRS17 and IFRS4 banking applications, utilizing Docker for running Red Hat Decision Manager.
Infigos Solutions , US
AI Developer
July.2024-Sep.2025
Created an AI system for predicting anomalies in finance data to identify fraud, with the model developed in Red Hat Decision Manager. Developed backend and frontend for IFRS17 and IFRS4 banking applications, utilizing Docker for running Red Hat Decision Manager.
Infigos Solutions , US
AI Developer
July.2024-Sep.2025
Created an AI system for predicting anomalies in finance data to identify fraud, with the model developed in Red Hat Decision Manager. Developed backend and frontend for IFRS17 and IFRS4 banking applications, utilizing Docker for running Red Hat Decision Manager.
QNext AI , US
AI Developer
Nov.2024-Jan.2025
Extracted info from brsr reports and financial statements using LLMs for finance application |Managed Supabase DB schemas and created RPC functions | Built APIs with FastAPI, integrated Clerk and Swix authentication,and deployed on Azure|Contributed in frontend(Next js)
QNext AI , US
AI Developer
Nov.2024-Jan.2025
Extracted info from brsr reports and financial statements using LLMs for finance application |Managed Supabase DB schemas and created RPC functions | Built APIs with FastAPI, integrated Clerk and Swix authentication,and deployed on Azure|Contributed in frontend(Next js)
QNext AI , US
AI Developer
Nov.2024-Jan.2025
Extracted info from brsr reports and financial statements using LLMs for finance application |Managed Supabase DB schemas and created RPC functions | Built APIs with FastAPI, integrated Clerk and Swix authentication,and deployed on Azure|Contributed in frontend(Next js)
Hooman Digital LLP , India
AI Developer
July.2024-Sep.2025
Designed entire pipeline for the chatbot system for DAO(Decentralized Autonomous Organization). Created AI agents using PHIData and made them interact with social media via Eliza framework Enabled custom agent creation | Scrapped data from various data sources including telegram and discord channels | Built 80% pipeline |Implemented redis caching for memorization | Streamed Open AI’s API
Hooman Digital LLP , India
AI Developer
July.2024-Sep.2025
Designed entire pipeline for the chatbot system for DAO(Decentralized Autonomous Organization). Created AI agents using PHIData and made them interact with social media via Eliza framework Enabled custom agent creation | Scrapped data from various data sources including telegram and discord channels | Built 80% pipeline |Implemented redis caching for memorization | Streamed Open AI’s API
Hooman Digital LLP , India
AI Developer
July.2024-Sep.2025
Designed entire pipeline for the chatbot system for DAO(Decentralized Autonomous Organization). Created AI agents using PHIData and made them interact with social media via Eliza framework Enabled custom agent creation | Scrapped data from various data sources including telegram and discord channels | Built 80% pipeline |Implemented redis caching for memorization | Streamed Open AI’s API
Scorelab & C2SI (For Google Summer for CODE) , SriLanka
Open Source Contributor
Oct. 2023 – April. 2024
Resolved frontend issues to improve UX with React.js, engineered APIs using Firebase Functions, and optimized data handling with Firestore and Firebase Storage, while utilizing the Firebase Emulator for seamless local testing. Designed system architecture for Codelabz, developed ER diagrams, and documented contributions.
Scorelab & C2SI (For Google Summer for CODE) , SriLanka
Open Source Contributor
Oct. 2023 – April. 2024
Resolved frontend issues to improve UX with React.js, engineered APIs using Firebase Functions, and optimized data handling with Firestore and Firebase Storage, while utilizing the Firebase Emulator for seamless local testing. Designed system architecture for Codelabz, developed ER diagrams, and documented contributions.
Scorelab & C2SI (For Google Summer for CODE) , SriLanka
Open Source Contributor
Oct. 2023 – April. 2024
Resolved frontend issues to improve UX with React.js, engineered APIs using Firebase Functions, and optimized data handling with Firestore and Firebase Storage, while utilizing the Firebase Emulator for seamless local testing. Designed system architecture for Codelabz, developed ER diagrams, and documented contributions.
BeyondChats , India
AI Developer
Jan.2023-July.2024
Implemented a chat system for building emotional connect with IVF patients by creating APIs in Flask. Developed auto novel generation and SEO metadata generation pipelines using Azure OpenAI for LLM calls. Improved the RAG pipeline and built a web crawler/scraper leveraging Selenium, BeautifulSoup, Scrapy, and Playwright, while also testing multiple use cases on MS Copilot Studio. Automated data insertion into Pinecone and fine-tuned a BERT model for NER tasks on resumes, significantly improving entity recognition accuracy. Crafted a chatbot using the RASA framework and React.js, leading to reduced response times. Additionally, streamlined data analysis workflows through web scraping with Selenium, data preprocessing, and backend integration with FastAPI.
BeyondChats , India
AI Developer
Jan.2023-July.2024
Implemented a chat system for building emotional connect with IVF patients by creating APIs in Flask. Developed auto novel generation and SEO metadata generation pipelines using Azure OpenAI for LLM calls. Improved the RAG pipeline and built a web crawler/scraper leveraging Selenium, BeautifulSoup, Scrapy, and Playwright, while also testing multiple use cases on MS Copilot Studio. Automated data insertion into Pinecone and fine-tuned a BERT model for NER tasks on resumes, significantly improving entity recognition accuracy. Crafted a chatbot using the RASA framework and React.js, leading to reduced response times. Additionally, streamlined data analysis workflows through web scraping with Selenium, data preprocessing, and backend integration with FastAPI.
BeyondChats , India
AI Developer
Jan.2023-July.2024
Implemented a chat system for building emotional connect with IVF patients by creating APIs in Flask. Developed auto novel generation and SEO metadata generation pipelines using Azure OpenAI for LLM calls. Improved the RAG pipeline and built a web crawler/scraper leveraging Selenium, BeautifulSoup, Scrapy, and Playwright, while also testing multiple use cases on MS Copilot Studio. Automated data insertion into Pinecone and fine-tuned a BERT model for NER tasks on resumes, significantly improving entity recognition accuracy. Crafted a chatbot using the RASA framework and React.js, leading to reduced response times. Additionally, streamlined data analysis workflows through web scraping with Selenium, data preprocessing, and backend integration with FastAPI.
IGSRS Solutions, India
AI Developer
Oct.2022-Dec.2022
Fine-tuned BERT model for NER task on resumes, significantly improving entity recognition accuracy. • Crafted a chatbot using the RASA framework and ReactJS, resulting in a noticeable decrease in latency. Streamlined data analysis by implementing web scraping using Selenium & integrating FastAPI .
IGSRS Solutions, India
AI Developer
Oct.2022-Dec.2022
Fine-tuned BERT model for NER task on resumes, significantly improving entity recognition accuracy. • Crafted a chatbot using the RASA framework and ReactJS, resulting in a noticeable decrease in latency. Streamlined data analysis by implementing web scraping using Selenium & integrating FastAPI .
IGSRS Solutions, India
AI Developer
Oct.2022-Dec.2022
Fine-tuned BERT model for NER task on resumes, significantly improving entity recognition accuracy. • Crafted a chatbot using the RASA framework and ReactJS, resulting in a noticeable decrease in latency. Streamlined data analysis by implementing web scraping using Selenium & integrating FastAPI .
HFT Solutions , India
Full Stack AI Developer
July. 2022 – Oct. 2022
Implemented AWS Rekognition for improved accuracy and reliability, with logging for efficient monitoring. Built a missing persons web application for Rajasthan Police and a Telegram bot using FastAPI, with the UI developed in React.js. Established database schemas in Postgres, configured logging, and used WinSCP for SSH.
HFT Solutions , India
Full Stack AI Developer
July. 2022 – Oct. 2022
Implemented AWS Rekognition for improved accuracy and reliability, with logging for efficient monitoring. Built a missing persons web application for Rajasthan Police and a Telegram bot using FastAPI, with the UI developed in React.js. Established database schemas in Postgres, configured logging, and used WinSCP for SSH.
HFT Solutions , India
Full Stack AI Developer
July. 2022 – Oct. 2022
Implemented AWS Rekognition for improved accuracy and reliability, with logging for efficient monitoring. Built a missing persons web application for Rajasthan Police and a Telegram bot using FastAPI, with the UI developed in React.js. Established database schemas in Postgres, configured logging, and used WinSCP for SSH.
Finplex Solutions, India
ML Engineer
April 2022 – July 2022
Developed a chatbot for IPPB, utilizing QLoRA for fine-tuning, significantly improving customer satisfaction. Integrated the OpenAI API with Flask and tested multiple LLMs for better accuracy, while creating the UI using React.js.
Finplex Solutions, India
ML Engineer
April 2022 – July 2022
Developed a chatbot for IPPB, utilizing QLoRA for fine-tuning, significantly improving customer satisfaction. Integrated the OpenAI API with Flask and tested multiple LLMs for better accuracy, while creating the UI using React.js.
Finplex Solutions, India
ML Engineer
April 2022 – July 2022
Developed a chatbot for IPPB, utilizing QLoRA for fine-tuning, significantly improving customer satisfaction. Integrated the OpenAI API with Flask and tested multiple LLMs for better accuracy, while creating the UI using React.js.
FAQ Section
Questions, Answers
Get quick answers to your most pressing questions
Joe Rogan
PowerfulJRE
I recently interviewed Mr. Aditya and surprise, surprise, he actually seems to be an intelligent guy (wasn’t on my bingo card) here are the questions I threw at him.
Joe Rogan
PowerfulJRE
I recently interviewed Mr. Aditya and surprise, surprise, he actually seems to be an intelligent guy (wasn’t on my bingo card) here are the questions I threw at him.
Joe Rogan
PowerfulJRE
I recently interviewed Mr. Aditya and surprise, surprise, he actually seems to be an intelligent guy (wasn’t on my bingo card) here are the questions I threw at him.
What’s your experience with scaling AI systems for real-world usage?
Scaling involves optimizing both inference and infrastructure. I’ve implemented Redis caching for reducing redundant API calls, containerized services with Docker, and deployed apps on Azure. I also use Supabase and Postgres for structured data, ensuring scalability for both storage and compute.
How do you keep up with the rapidly evolving AI ecosystem?
How do you approach improving the accuracy of LLM responses in a production environment?
If AI could replace one daily task for you, what would you happily hand over?
You’ve worked on chatbots and agents if you had to design a sarcastic chatbot version of yourself, what’s the first feature you’d add?
You’ve mentioned creating AI agents using Langgraph and PHIData. Can you explain how you structured these agents and what business outcomes they achieved?
You fine-tuned a BERT model for NER on resumes. What improvements did you achieve, and how did you measure success?
You built an estimate tool for roofing issues how did AI help in this scenario?
You’ve integrated Clerk and Swix authentication in FastAPI and deployed on Azure. What challenges did you face with authentication and deployment?
What’s your experience with scaling AI systems for real-world usage?
Scaling involves optimizing both inference and infrastructure. I’ve implemented Redis caching for reducing redundant API calls, containerized services with Docker, and deployed apps on Azure. I also use Supabase and Postgres for structured data, ensuring scalability for both storage and compute.
How do you keep up with the rapidly evolving AI ecosystem?
How do you approach improving the accuracy of LLM responses in a production environment?
If AI could replace one daily task for you, what would you happily hand over?
You’ve worked on chatbots and agents if you had to design a sarcastic chatbot version of yourself, what’s the first feature you’d add?
You’ve mentioned creating AI agents using Langgraph and PHIData. Can you explain how you structured these agents and what business outcomes they achieved?
You fine-tuned a BERT model for NER on resumes. What improvements did you achieve, and how did you measure success?
You built an estimate tool for roofing issues how did AI help in this scenario?
You’ve integrated Clerk and Swix authentication in FastAPI and deployed on Azure. What challenges did you face with authentication and deployment?
What’s your experience with scaling AI systems for real-world usage?
Scaling involves optimizing both inference and infrastructure. I’ve implemented Redis caching for reducing redundant API calls, containerized services with Docker, and deployed apps on Azure. I also use Supabase and Postgres for structured data, ensuring scalability for both storage and compute.
How do you keep up with the rapidly evolving AI ecosystem?
How do you approach improving the accuracy of LLM responses in a production environment?
If AI could replace one daily task for you, what would you happily hand over?
You’ve worked on chatbots and agents if you had to design a sarcastic chatbot version of yourself, what’s the first feature you’d add?
You’ve mentioned creating AI agents using Langgraph and PHIData. Can you explain how you structured these agents and what business outcomes they achieved?
You fine-tuned a BERT model for NER on resumes. What improvements did you achieve, and how did you measure success?
You built an estimate tool for roofing issues how did AI help in this scenario?
You’ve integrated Clerk and Swix authentication in FastAPI and deployed on Azure. What challenges did you face with authentication and deployment?
Let's Connect
Let's Grow Together
Drop an email
aditya.sakpal2081@gmail.com
Drop a text on WhatsApp
+91 9136885664
Let's Connect
Let's Grow Together
Drop an email
aditya.sakpal2081@gmail.com
Drop a text on WhatsApp
+91 9136885664
Let's Connect
Let's Grow Together
Drop an email
aditya.sakpal2081@gmail.com
Drop a text on WhatsApp
+91 9136885664