Professional Overview
AI/ML Engineer with internship and project experience building Generative AI applications, RAG pipelines, AI Agents (LangGraph), NLP workflows, and LLM evaluation tools using Python, LangChain, LangGraph, Hugging Face, ChromaDB, and FastAPI — with a focus on production-ready, API-deployed solutions. Skilled in prompt engineering, LLM-as-a-Judge evaluation, vector databases, and embeddings, with hands-on exposure to cross-functional collaboration and end-to-end model implementation. Proven ability to translate requirements into scalable, secure AI applications and deliver measurable outcomes such as 95% structured-output validity and 70% reduction in manual evaluation time.
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
