Summary
Sameer Wadkar is a seasoned engineering leader who designs and builds large-scale, cloud-native AI and distributed systems with 20+ years of experience spanning streaming data, identity, Kubernetes platforms, and LLM Ops. He focuses on turning ambiguous requirements into repeatable architecture patterns, having built frameworks and blueprints used by field teams and customers to run production workloads at scale. His hands-on LLM work includes multi-GPU training and inference pipelines (Ray Train, DeepSpeed, Triton, ONNX/TensorRT), PEFT/SFT adapter flows, and cost- and identity-aware cloud integrations across AWS, GCP, and Azure. At Domino he drove cross-functional programs—Experimentation Manager, cost intelligence tooling, GPU fractionalization, and the widely adopted Blueprints architecture—that influenced product and GTM strategy. Prior roles at Comcast, FINRA, and Cloudera blend deep streaming (Flink/Kafka) and MLOps expertise, and he’s the author of Pro Apache Hadoop and a frequent conference speaker. Based in Germantown, MD, he combines rigorous applied mathematics training with pragmatic system-building to bridge research models and enterprise-grade AI operations.
11 years of coding experience
20 years of employment as a software developer
Johns Hopkins University
BE Electrical, BE Electrical at University of Mumbai
Bachelor's degree Electrical and Electronics Engineering, Bachelor's degree Electrical and Electronics Engineering at VJTI
MBA Finance, MBA Finance at SIMSREE (University Of Mumbai)