I’m a Machine Learning Engineer with a background in Data Science and a strong foundation in Mathematics (MSc) and Engineering (BTech). I build practical AI systems that solve real business problems, with a focus on Retrieval-Augmented Generation (RAG), Agentic AI workflows, and production-ready ML solutions.
I have experience across the full ML lifecycle: data preparation, model development, evaluation, deployment, and monitoring. I also bring strong Data Analytics skills for turning data into clear insights and actionable business decisions.
I’m currently open to roles in:
- Machine Learning Engineering
- Applied AI / Generative AI (RAG, Agentic RAG)
- Data Science
- Data Analytics
Core strengths:
- RAG pipeline design (ingestion, chunking, embeddings, retrieval)
- Agentic AI workflows and LLM integration
- NLP, vector databases, and semantic search
- Experimentation, model evaluation, and optimization
- Stakeholder communication and business impact delivery