Summary
Mayukh Bhattacharyya is a software engineer with 10 years of experience building production-grade systems at the intersection of software development and machine learning. He has shipped ML-powered medical imaging and pathology products, large-scale recommender evaluation pipelines at Snap, and embedded display software for Samsung, demonstrating strength across cloud, edge, and device contexts. He’s delivered end-to-end systems—from FastAPI and LangChain-based conversational agents to Spark pipelines handling terabytes of clinical data—and has productionized models on AWS, GCP, and Kubernetes. Mayukh combines research-driven approaches (adapting counterfactual evaluation and weak supervision) with pragmatic engineering, having led small teams and reduced development friction through reusable microservices and inference pipelines. Based in New York, he contributes to open-source tooling and enjoys creating lightweight packages and apps that others adopt. Colleagues value him for turning complex ML research into reliable, deployable products that meet real stakeholder needs.
10 years of coding experience
5 years of employment as a software developer
Bachelor of Engineering Electrical Engineering, Bachelor of Engineering Electrical Engineering at Jadavpur University
Master of Science Computer Science, Master of Science Computer Science at Stony Brook University
English