What I value
Clarity over complexity, measurable outcomes over vanity metrics, and systems that stay dependable after launch.
I design data and AI products that move from experimentation to real-world decisions.
My path into AI engineering started with a systems mindset from Mechanical Engineering at BITS Hyderabad. That training still shapes how I build: understand the system, isolate bottlenecks, and optimize what matters most.
Over 3 years I've built production GenAI and ML systems for Fortune 500 clients — from ensemble forecasting pipelines to multi-agent LLM platforms and RAG systems on GCP, AWS, and Azure. My focus is end-to-end ownership: experimentation and fine-tuning through to LLMOps observability, drift detection, and CI/CD deployment gates.
Clarity over complexity, measurable outcomes over vanity metrics, and systems that stay dependable after launch.
I combine product thinking with strong engineering rigor: fast iteration, careful validation, and transparent trade-offs.
Basketball, new sports, and food exploration keep me energized and curious in the same way technical problem-solving does.
If you're building with AI and need a teammate who can connect modeling, product, and delivery, let's connect.