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I'm an AI/ML engineer who owns systems end-to-end, from architecture and implementation through deployment and reliability. My production workflows serve 300+ case reviewers and have reduced manual review time by 98%.
I build multi-agent orchestration systems with planner-executor patterns, retrieval-augmented generation pipelines with hybrid retrieval and re-ranking, and real-time inference services deployed on Kubernetes. I focus on reliable, production-grade AI that delivers measurable impact.
Principles that guide my work and decision-making
Pushing boundaries with cutting-edge LLMs and GenAI technologies
Building scalable, reliable ML systems that deliver real business value
Ensuring high-quality training data and robust evaluation frameworks
Optimizing ML models for speed, cost, and accuracy in production
Professional experience and education
Own production AI systems end-to-end, from architecture through deployment and reliability, serving 300+ case reviewers and reducing manual review time by 98%.
Graduated with a B.Tech in Computer Science.