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asiimhusain/README.md

𝐀𝐒𝐈𝐌 𝐇𝐔𝐒𝐀𝐈𝐍

AI / ML ENGINEER

𝐖𝐄𝐁𝐒𝐈𝐓𝐄       𝐋𝐈𝐍𝐊𝐄𝐃𝐈𝐍       𝐆𝐈𝐓𝐇𝐔𝐁       𝐓𝐖𝐈𝐓𝐓𝐄𝐑       𝐋𝐄𝐄𝐓𝐂𝐎𝐃𝐄       𝐄𝐌𝐀𝐈𝐋


AI/ML Engineer focused on building practical applications around Generative AI, LLMs, RAG and AI Agents. I also build backend systems and REST APIs using Python, FastAPI, with hands-on experience taking projects from development to Docker and Azure deployment.


Tech Stack

Python     SQL     Generative AI     LLMs     RAG     AI Agents     Vector DBs     FastAPI     MySQL/NoSQL     REST APIs    
Microservices     LangChain     MLOps     Docker     Azure Cloud     CI/CD     Git     Github     Vibe Coding    


Featured Projects

🤖 RAG System

Multilingual voice + text RAG system powered by FastAPI, LangChain, ChromaDB, Jina AI and Azure.


🏥 CureHelp+

AI-powered clinical decision support platform for disease prediction, X-ray screening and medical report analysis.


🎯 IntervBot

AI-powered interview platform with generated questions, real-time scoring, sentiment analysis and progress tracking.


🔗 TinyURL

Fast URL shortening platform with URL management and QR-code generation.



GitHub Analytics

    


GitHub Profile Summary


Open Source & Contributions



Let's Build Something Intelligent

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  1. CureHelplus CureHelplus Public

    Flask-based healthcare analytics platform for multi-disease risk prediction with AI chatbot guidance, consultant search, report autofill, and PDF medical reporting.

    Python 1

  2. Personal-Portfolio Personal-Portfolio Public

    Every pixel tells a story of learning, building, and becoming better.

    JavaScript 1

  3. Virtual-Interviewer Virtual-Interviewer Public

    A smart Virtual Interviewer that asks role-based questions tailored by difficulty using OpenRouter’s models. Built with Python, Js, CSS and HTML for a smooth, fast, and responsive experience, perfe…

    Python 1

  4. Stock-Price-Prediction Stock-Price-Prediction Public

    Built over weeks, this project predicts future stock prices using ML models like Linear Regression, Random Forest, and LSTM. With 85–95% accuracy, it's powered by Python, Pandas, NumPy, and more fe…

    Jupyter Notebook 4