A curated collection of my work in Machine Learning, Generative AI, and DevOps.
Conversational AI | Optimization
- Finetuned the
Mistral-7B-Instruct-v0.2open-source model for specialized conversational use cases. - Utilized Q-LoRA for efficient 4-bit quantization, making high-performance LLM tuning accessible.
- Tech Stack:
Python,HuggingFace,PEFT,BitsAndBytes
Knowledge Graphs | RAG
- Built an intelligent resume search engine integrating Neo4j graph database and LangChain.
- Uses graph relationships to enhance Retrieval-Augmented Generation (RAG) via a Cypher query engine.
- Tech Stack:
Neo4j,LangChain,Cypher Query,Python
Transformer Architecture | Next Word Prediction
- A compact GPT-based decoder-only transformer model built from scratch.
- Features a full deployment pipeline: Local, Docker, and Kubernetes.
- Tech Stack:
PyTorch,Streamlit,Docker,Kubernetes
Full-Stack | VR Projection
- Developed a custom projection pipeline to convert standard 2D videos into 180° VR immersive formats.
- Built with a GPU-accelerated FastAPI backend and a modern Next.js frontend.
- Tech Stack:
OpenCV,FastAPI,Next.js,Supabase,CUDA
- (Project details in progress) 🚧
Regression Analysis | Health-Tech
- End-to-end application predicting diabetes progression based on physiological health factors.
- Tech Stack:
Scikit-learn,Pandas,Streamlit,Docker
- Implementation of production-grade deployment for ML models.
- Includes Dockerization and orchestration using Kubernetes manifests.
- Focus:
Scalability,Containerization,Infrastructure as Code
- Reinforcement Learning: Projects involving Gymnasium and PPO coming soon.
- Natural Language Processing: Classic NLP pipelines and sentiment analysis.
- Data Engineering: ETL pipelines and Big Data processing.
