Jay Khatri is a Senior MLOps Engineer based in Bengaluru with 8 years of experience bridging software engineering, data engineering, and production ML. He has deep Python expertise and a proven track record deploying scalable document classification and generative-AI solutions—one production pipeline at HSBC now processes over 10 million documents annually with 91% accuracy. Comfortable across the stack, Jay builds ML platforms and microservices using FastAPI, Docker, Horovod and observability tooling like Grafana/Loki, and has reduced model training time fourfold through distributed training. His background in data warehousing and event-based data models informs pragmatic, reliable productionization of models and KPIs. He contributes code and writing (GitHub, Medium) and is actively focused on MLOps and data engineering best practices for enterprise-scale AI.
8 years of coding experience
3 years of employment as a software developer
BE - Bachelor of Engineering Computer Engineering, BE - Bachelor of Engineering Computer Engineering at L.D. College of Engineering
Contributions:29 commits, 1 PR, 29 pushes in 23 days
mimic-iiisepsisdataset-analysisdatasetdetect
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