Summary
Amardeep Kumar is a Machine Learning Engineer with 13 years of experience building production-grade AI systems, currently focused on GenAI platform foundations at DoorDash in New York. He specializes in taking research ideas to scale—designing retrieval-augmented systems, efficient LLM fine-tuning and serving pipelines, and CI/CD-backed microservices using Docker, Kubernetes, Kafka and Redis. Previously he was the first AI hire at PineGap.ai where he architected an agentic RAG framework and optimized inference with quantization, LoRA and vLLM for finance use cases, and at Instabase he improved inference latency by 40% through an async model serving platform. His background spans applied NLP, entity embeddings for forecasting, and model-drift detection, reflecting a rare mix of research depth and systems engineering. A self-described “data freak and CLI lover,” he pairs rigorous MS-level training from Courant with hands-on, end-to-end delivery in both startups and large tech environments.
13 years of coding experience