Summary
Debajyoti Chatterjee is a software engineer with 4 years of hands-on experience building cloud-native ML and platform infrastructure, currently a SDE4 at TrueFoundry in Bengaluru. He has driven performance and cost optimizations—cutting Python build p50s from ~8–9 minutes to ~1–2 and designing multi-cloud GPU serving behind a single endpoint—while leading billing, async service, and image-streaming initiatives. His background spans ML model infrastructure, ETL and monitoring pipelines, Kubernetes operator work (PVCs, Argo CD, KServe), and pragmatic SDKs and registries that enable one-click model deployments. Colleagues rely on him for technical direction and delivery: he’s mentored peers to ship workflow integrations (Flyte) and moved customers off managed async endpoints to more scalable, cost-controlled solutions. An early career in ML research and production systems gives him a rare combination of model-level insight and robust backend engineering instincts.
4 years of coding experience
6 years of employment as a software developer
Master's Degree in Computer Science Computer Science, Master's Degree in Computer Science Computer Science at Indian Institute of Information Tech & Mgt-Kerala
Bachelor of Computer Application (H) Computer Science, Bachelor of Computer Application (H) Computer Science at Institute Of Engineering and Management