About Me
Software Engineer with 2+ years of experience building AI/ML systems in production. Reduced LLM hallucination by 35% using hybrid RAG, improved model accuracy by 40% across 3 projects, and maintained 99.9% uptime for 5+ deployed services on AWS. Skilled in Python, LangChain, TensorFlow, PyTorch, FastAPI, and the full ML lifecycle.
Skills & Technologies
Work Experience
Freelance AI/ML Engineer
Fine-tuned LLMs with LoRA on domain-specific datasets, improving response accuracy by 25%. Built modular ETL pipelines to convert raw documents into searchable vector knowledge bases.
Software Engineer — AI/ML & GenAI
Built RAG pipelines with LangChain and FAISS using hybrid vector + SQL retrieval, reducing LLM hallucination by 35%. Wrote end-to-end ML pipelines, improving model accuracy by 40% across 3 projects. Deployed FastAPI REST microservices for model inference, achieving sub-second latency under high-concurrency loads.
Projects
Enterprise AI Knowledge Assistant
RAG pipeline with hybrid vector + SQL search; improved retrieval precision by 40%. Deployed as microservices on AWS.
Healthcare NLP Classifier
Text classification on real medical data; reached 91% accuracy using feature engineering and supervised learning. Automated the EDA and reporting workflow, cutting manual data review time for researchers significantly.
Education
Master of Computer Applications
Computer Applications
Bachelor of Science in Information Technology
Information Technology