I’m a GenAI Engineer and Data Scientist with 4+ years of experience building AI and machine learning solutions that solve real business problems across finance, healthcare, and e-commerce domains.
My work focuses on developing production-ready systems using Large Language Models (LLMs), Agentic AI workflows, and Retrieval Augmented Generation (RAG). I enjoy taking AI solutions from idea to deployment — working across data engineering, model development, evaluation, and scalable cloud deployment.
Currently, I build enterprise Generative AI platforms that automate regulatory document analysis using multi-agent architectures, helping teams reduce manual effort and make faster, data-driven decisions.
Previously, I’ve developed machine learning models for healthcare risk prediction and built large-scale analytics platforms supporting millions of daily data events.
I’m passionate about building reliable, scalable AI systems that create measurable impact rather than experimental models.
Open to opportunities in GenAI Engineering, Machine Learning Engineering, and Applied AI roles.
Always happy to connect with recruiters, AI builders, and professionals working in data and AI.
