Summary
Himanshu Kumar is a Principal Applied Scientist with 9 years of experience building large-scale distributed systems and ML platforms, currently driving research and engineering at Capital One. He blends production ML engineering with research rigor, having deployed GPU-accelerated ETL and anomaly detection pipelines, fine-tuned LLMs (QLORA) in Vertex AI, and optimized transformer inference for low-latency services. Past roles include impactful ML deployments at Infosys and American Family Insurance that cut costs and SLAs, plus academic research and RAG system development at NYU improving context relevance by 20%. Comfortable across cloud-native stacks (GCP, AWS), orchestration (Airflow, GKE), and model ops, he pairs an MS-CS from NYU with practical wins in ASR, document understanding, and time-series forecasting. Notably, he has hands-on experience squeezing production performance gains via NVIDIA Rapids and ONNX quantization—skills that bridge research experiments and scalable, cost-effective production systems.
9 years of coding experience
6 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at New York University
Bachelor of Technology - BTech Computer Science, Bachelor of Technology - BTech Computer Science at SRM IST Chennai
English, Hindi, French