I bridge the gap between Data Science and Software Engineering.

• 🧠 Consulting ML Engineer: Specializing in GenAI, RAG Systems, and Computer Vision. I turn research into production-ready applications.
• 💻 Full-Stack Engineer: 5+ years experience building scalable backends and APIs (FastAPI, Django, Laravel).
• 🎓 CS Honors Graduate: COMSATS University, Islamabad.

I don't just train models; I build the systems that serve them.

A sophisticated conversational AI that chats with your local Obsidian notes.

• Tech: FastAPI Groq (Llama 3) ChromaDB Reciprocal Rank Fusion (RRF)
• Key Feature: Implemented Hybrid Search (Vector + Keyword) and real-time file watching for instant knowledge base updates.

An AI interface allowing non-technical users to query SQL databases using natural language.

• Tech: Python Llama 3 Pydantic SQLite
• Key Feature: Generates type-safe SQL with schema awareness and executes read-only queries securely.

Fine-tuned the BLIP Transformer model for Radiology and Pathology QA.

• Result: Successfully detected specific bone fractures where standard models failed.
• View the full Case Study in my ML Portfolio →

📂 View My Complete Machine Learning Portfolio & Case Studies
Includes: Brain Tumor Detection (97% Acc), Heart Attack Data Auditing, and Market Clustering.

• GenAI & LLMs: RAG Architectures, LangChain, Groq, Llama 3, Prompt Engineering
• Deep Learning: PyTorch, Transformers, Computer Vision
• Data Science: Pandas, NumPy, Scikit-Learn, Matplotlib
• Vector Databases: ChromaDB, FAISS

• Languages: Python (Advanced), PHP, JavaScript
• Frameworks: FastAPI, Django, Laravel
• Databases: PostgreSQL, MySQL, SQLite, MongoDB
• Infrastructure: Docker, REST APIs, GraphQL

• Frontend: ReactJS, JavaScript (ES6+), HTML5/CSS3
• DevOps: Git, GitHub Actions, Linux
• Testing: Pytest, Selenium

• Reputation:
• Profile: View my Stack Overflow

Let's build something intelligent.
Email: iamaliasgharkhan@gemail.com