Summary
Jaideep Ray is a Senior Staff Engineer specializing in large-scale AI training with 11 years of experience building production ML systems across ads, search, and recommendation domains. He has led end-to-end training and serving stacks—scaling models to tens of billions of parameters, deploying GPU serving (Ray, Triton, vLLM), and improving training efficiency for CTR and LLM finetuning. At Meta and Coupang he drove AutoML baselines, post-training quantization, and hybrid cluster orchestration to boost utilization and reduce workflow failures. Now at LinkedIn he focuses on AI training platform engineering, combining hands-on distributed systems work (PyTorch, Deepspeed, k8s) with pragmatic operational improvements. Colleagues know him for translating research-grade models into reliable, cost-effective production pipelines and for quietly delivering the infrastructure that enables 10× scale leaps.
11 years of coding experience
6 years of employment as a software developer
Bachelor of Engineering - BE EECS, Bachelor of Engineering - BE EECS at Jadavpur University
Computer Science, Computer Science at Texas A&M University