Professional Overview
AI/ML Engineer specializing in Generative AI, Agentic AI, LLM applications, and production-ready machine learning systems. Experienced in building and deploying AI solutions for real-world business problems, including RAG pipelines, multi-agent systems, OCR-based document automation, NLP, and computer vision. I built a self-corrective RAG system using Python, LangGraph, FAISS, ChromaDB, and MCP, featuring conditional routing and LLM-based relevance grading to improve retrieval quality and reduce hallucinations. I also developed a Deep Research Agent with parallel sub-agents, FastAPI, checkpointing, and context compression. In professional projects, I built an OCR-based document-processing pipeline for a UK client that processed 1,000+ orders and generated EDI-ready outputs in under 60 seconds, achieving 80% extraction accuracy. Additionally, I developed an audio-classification pipeline using BEATs and LightGBM, achieving 75% accuracy and a 70% F1-score.
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.
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
AI Product & Strategy
Translate AI capabilities into product roadmaps, define success metrics, and drive adoption across engineering and business teams.
