Komal Patel

I’m a Senior Python architect with 8+ years building distributed backend platforms, AI/ML systems, and cloud-native applications. I focus on scalable microservices, MLOps platforms, and RAG infrastructure for enterprise AI that needs to be reliable at scale.

In my current role as a Python AI/ML Team Lead, I architect and lead technical design reviews, cloud infrastructure strategy, and production reliability. I lead a team of 6 engineers and support enterprise AI platforms serving 50K+ monthly users while processing 1M+ documents.

I’ve delivered measurable outcomes with LLM-based automation, cutting operational costs by ~30% while maintaining quality through evaluation and guardrail frameworks. I also built an Enterprise Knowledge Assistant with RAG, vector search, source citations, RBAC, and safety guardrails—serving 50K+ queries monthly, reducing document search effort by 60%, and achieving sub-2-second semantic retrieval latency.

Earlier, I designed and deployed NLP and deep-learning solutions, including real-time inference platforms with p95 latency below 200ms, and reduced API latency by 40% using Redis caching and optimized processing patterns. Across backend and data systems, I’ve consistently paired strong engineering practices—architecture standards, code review, testing, and observability—with production-grade delivery.