Summary
Sangram Ray is a Staff Machine Learning Engineer based in Bengaluru with 11 years of experience building and scaling production AI platforms and agentic systems. He has led enterprise RAG architectures, low-latency agent endpoints on ECS Fargate, and domain-adaptation strategies for LLMs (e.g., QLoRA with Mistral-7B) to deliver high-precision, cost-effective inference on constrained GPUs. His work spans end-to-end pipelines—ingestion, embeddings, semantic retrieval, and fine-tuned cross-encoders—deployed across AWS SageMaker, FastAPI, and Fargate for multi-team adoption. Sangram pairs hands-on engineering with platform-level ownership, driving migrations from legacy systems and mentoring teams to ensure production reliability and maintainability. He brings a strong focus on measurable accuracy and long-term impact, having applied ML under regulatory and low-latency constraints in fintech, security, and legal domains. Outside the obvious, he blends a mechanical engineering background with deep ML ops practice, which informs his pragmatic approach to system design and failure isolation.
11 years of coding experience
10 years of employment as a software developer
Secondary School, Secondary School at K.V. Brahmapur
BTech, Mechanical Engineering, BTech, Mechanical Engineering at Biju Patnaik University of Technology
Senior Secondary, Science, Senior Secondary, Science at K.V.Brahmapur