Diptanu Choudhury is a founder and seasoned software engineer with 15 years building distributed systems and AI/ML infrastructure, currently leading a startup that extracts structured indexes and knowledge graphs from multimodal data for LLM applications. He has deep production experience at Facebook/Meta (real-time speech inference, PyTorch kernel optimizations, and ML platform FBLearner), LinkedIn (designing a cooperative scheduler integrating Kubernetes with Helix), and as an early engineer on Nomad and other core systems at HashiCorp and Netflix. His open-source footprint includes meaningful contributions to widely used projects like Consul and Nomad and practical enhancements to Docker JVM clients, reflecting a blend of low-level systems work (XDP, RPC, HA service discovery) and ML deployment engineering. Diptanu’s background spans both research—publishing on self-supervised cross-lingual LID and scheduler design—and hands-on performance tuning of transformers for real-time inference. Based in San Francisco, he pairs entrepreneurial initiative with a track record of shipping resilient, internet-scale infrastructure. An underrated strength is his ability to bridge kernel/network-level optimizations and high-level ML serving needs, making models run reliably at production scale.
14 years of coding experience
13 years of employment as a software developer
B-Tech Electronics and Communication Engineering, B-Tech Electronics and Communication Engineering at National Institute of Technology, Jalandhar
Nomad is an easy-to-use, flexible, and performant workload orchestrator that can deploy a mix of microservice, batch, containerized, and non-containerized applications. Nomad is easy to operate and scale and has native Consul and Vault integrations.
Role in this project:
Back-end Developer & DevOps Engineer
Contributions:1453 commits, 618 PRs, 1525 pushes in 2 years 1 month
Contributions summary:Diptanu primarily contributes to the backend of the Nomad project by addressing bugs related to network configurations and code logic with the Go programming language. They also contribute to the project by enhancing the infrastructure of the project by making various changes to the dependencies and the build script. Further, they are also responsible for introducing features like ACL and metric integrations into the codebase.
Consul is a distributed, highly available, and data center aware solution to connect and configure applications across dynamic, distributed infrastructure.
Role in this project:
Backend & DevOps Engineer
Contributions:33 commits, 10 PRs, 26 pushes in 2 years 2 months
Contributions summary:Diptanu focused on implementing Docker health checks for the Consul service. Their contributions involved adding new check types specifically for Docker containers, integrating with the Docker API to execute health check scripts, and incorporating output collection from these checks. They also made changes to the configuration and testing components to support and validate the Docker health check features. Furthermore, the user made changes to add the metrics for the Catalog APIs.
api-gatewayecsgolangcenterdistributed
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