Summary
Saurabh Koshatwar is a Machine Learning Engineer with eight years of experience building scalable ML and software infrastructure across startups and large tech firms in the San Francisco Bay Area. He holds an MS in Computer Science (Data Science) from USC and has delivered production-grade ML systems—CI/CD pipelines, distributed training with Deepspeed/FSDP, and Kubernetes-orchestrated deployments—that cut training time and model size substantially. His background spans full-stack engineering and distributed systems (Java, Python, Spark, Kafka, Redis, Milvus) and includes impactful roles at Aikya, Scale AI, Tesla, and Apple where he automated infra scaling and optimized high-throughput pipelines. Notable achievements include winning a NeuroHack grand prize, placing top-3 in a global HackerRank contest, and building a Milvus-backed document retrieval service integrated with LangChain and OpenAI APIs. He combines research-grade distributed deep learning experience from USC with hands-on production skills, making him adept at turning experimental models into efficient, observable services.
8 years of coding experience
2 years of employment as a software developer
Master of Science - MS Computer Science (Data Science), Master of Science - MS Computer Science (Data Science) at University of Southern California
Bachelor of Engineering - BE Computer Science, Bachelor of Engineering - BE Computer Science at Vishwakarma Institute of Information Technology
Marathi, Hindi, English