Summary
Sekhar Rangam is an AI/ML senior manager and solutions architect with nearly two decades of experience designing cloud-native, enterprise-grade AI platforms and scaling engineering teams from single digits to 50+. He combines hands-on full-stack development (Python, Java, React) with deep expertise in GenAI frameworks (LangChain, LangGraph, AutoGen, LlamaIndex) to deliver agentic workflows, semantic search, forecasting accelerators and optimization workbenches that drive measurable business ROI. At Accenture and BRIDGEi2i he led flagship products like AI4BI (natural language-to-SQL agents), a GenAI spend optimizer, and transformer-powered enterprise search, often marrying vector DBs and agent orchestration for real-world decision intelligence. Comfortable across AWS, Azure and GCP, he architects scalable MLOps pipelines on Kubernetes and automates deployments with Terraform, Docker and CI/CD tooling. Notably, he blends research-grade model tooling with pragmatic engineering—profiling, modularizing and productionizing ML lifecycles—to shorten time-to-value for large enterprises. Based in Bengaluru, he excels at turning advanced NLP and optimization research into practical platforms that transform how organizations query, forecast and allocate resources.
11 years of coding experience
16 years of employment as a software developer
Master of Computer Applications - MCA, Computer Science, Master of Computer Applications - MCA, Computer Science at Sri Krishnadevaraya University