About Me

I am an AI/ML Engineer focused on building real-world GenAI and agentic systems that solve practical business problems. My work sits at the intersection of AI, data, and decision-making systems, where I design solutions that are not just intelligent, but production-ready and reliable.

I bring 8.7+ years of experience across finance, insurance, e-commerce, and analytics-driven consulting, where I have worked on translating ambiguous business problems into structured, data-driven solutions.

My transition into AI engineering is rooted in a strong business foundation, allowing me to approach AI systems with a practical mindset — focusing on real-world impact, scalability, and integration into enterprise workflows rather than just model performance.

What I Work On

  • • Agentic AI systems and autonomous workflows
  • • LLM-powered applications (Text-to-SQL, RAG systems)
  • • End-to-end AI system design (data → model → deployment)
  • • Production-grade GenAI systems with reliability and safety controls

Technical Focus

I work extensively with Python, SQL, LangChain, LangGraph, and modern LLM tooling. My experience includes building systems with prompt engineering, orchestration pipelines, validation layers, and integrating AI into scalable backend systems.

Professional Experience

Currently working as a Lead AI/ML Engineer, I focus on building production-grade AI systems and leading AI-driven initiatives.

  • • Led analytics initiatives identifying $8M–$12M in business impact
  • • Delivered 100+ data-driven reports used in financial decision-making
  • • Led cross-functional teams of up to 15 members
  • • Improved operational efficiency by up to 45% through data systems

What Makes Me Different

My core strength lies in combining business understanding with technical execution. I don’t just build models — I build systems that integrate into real workflows, handle edge cases, manage trade-offs like cost and latency, and deliver measurable outcomes.

I am particularly interested in building agentic AI systems that can reason, act, and operate autonomously within structured environments.