Amartya Chakraborty
Senior Machine Learning Engineer at Capital One
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolAmartya Chakraborty is a Senior Machine Learning Engineer based in New York with 11 years of experience building production-grade ML and generative AI systems. He has led design and implementation of agentic LLM products and AI assistants (notably Rancher Prime) and now focuses on LLM core and agentic capabilities at Capital One. His background spans the full ML lifecycle—from collecting and benchmarking thousands of LLM outputs for robust regression testing to training custom deep models for log anomaly detection on NVIDIA GPU infrastructure. Equally comfortable in Python and Go, he pairs model work with cloud-native deployment expertise across Kubernetes, AWS, and container tooling. Early open-source and tooling contributions include a DBus-based container image management implementation and backend/DevOps work on Project Atomic’s Atomic run tool, reflecting a long-standing interest in reliable operational systems. He combines research-grade model development with pragmatic engineering to ship scalable, observable ML services.
11 years of coding experience
7 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Rensselaer Polytechnic InstituteActon Boxborough Regional High School
Bengali, English
Github Skills (9)
json10
docker10
python10
containerization10
dockers10
dbus10
automations8
automation8
testing7
Programming languages (12)
Github contributions (5)
projectatomic/atomic
Jun 2016 - Aug 2016
Atomic Run Tool for installing/running/managing container images.
Role in this project:
Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:14 commits, 29 PRs, 22 comments in 1 month
Contributions summary:Amartya primarily contributed to the back-end functionality of the project, focusing on the D-Bus API implementation for managing container images. Their work involved modifying `atomic_dbus.py` to include features for scanning, image verification, and updating. The user also refactored the code to handle JSON data output and integrated features like 'ps' and 'update' with the D-Bus API. Additionally, the user made enhancements to the client-side code and the automated testing infrastructure, demonstrating some DevOps involvement.
containersdocker-imageruncinstallingseccomp
AmartC/atomic
Jun 2016 - Aug 2016
Contributions:2 PRs, 162 pushes, 7 branches in 2 months
containersdocker-imageinstallingdockercontainer-images
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