Professional Overview
GenAI Engineer with 5.5+ years of experience in Data Engineering and 1.5 years of hands-on GenAI/LLM development. Specialized in building LLM-driven applications, RAG systems, and agentic AI workflows using LangChain, LangGraph, and vector databases. Strong expertise in Python, SQL, PySpark, Databricks, and Azure, enabling full-cycle delivery from data pipelines to production-grade LLM solutions. Proven success implementing multi-agent architectures, retrieval pipelines, content automation, and enterprise AI assistants in pharma, media, and travel domains.
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.
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
AI Product & Strategy
Translate AI capabilities into product roadmaps, define success metrics, and drive adoption across engineering and business teams.
