Satyaki Chakraborty

Member Of Technical Staff (RL), SF Lab at SF lab @ Amazon, formerly Adept.AI

Pittsburgh, Pennsylvania, United States
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Summary

👤
Senior
🎓
Top School
Satyaki Chakraborty is an RL and LLM research engineer with 11 years of experience building production-scale learning systems and agent training recipes across startups and large labs. He has driven cross-functional efforts to push SOTA RLHF/RLAIF and reasoning/agent work into deployed models at Character.AI and Adept (now part of Amazon), and currently leads 0→1 SWE agent training tooling at Amazon’s AGI SF Lab. His background spans applied research in robotics and autonomous systems (Carnegie Mellon, Cruise) through to cloud-scale ML at AWS, giving him a rare blend of deep algorithmic expertise and production engineering. Notably, he tech-led novel RL exploration strategies for computer-use agents and rewrote core state-estimation stacks using transformer-based tracking at Cruise, demonstrating comfort taking foundational pieces from research to robust systems. Based in Pittsburgh, he combines rigorous robotics training with practical ML deployment experience to accelerate agent capabilities at scale.
code11 years of coding experience
job8 years of employment as a software developer
bookMS - Master of Science, Robotics, School of Computer Science, MS - Master of Science, Robotics, School of Computer Science at Carnegie Mellon University
languagesEnglish
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Github Skills (20)

mask7
object-detection6
computer-vision6
representations6
faster-rcnn5
deep-learning5
machine-learning5
pytorch5
fact4
mask-rcnn3
retinanet3
wikipedia3
extraction2
wave2
websocket1

Programming languages (3)

C++PythonMatlab

Github contributions (5)

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shady-cs15/rcnn

Nov 2015 - Jan 2017

Contributions:23 commits, 20 pushes, 1 branch in 1 year 2 months
shady-cs15/stereolib

Feb 2015 - Oct 2015

Contributions:28 commits, 22 pushes, 1 branch in 8 months
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Satyaki Chakraborty - Member Of Technical Staff (RL), SF Lab at SF lab @ Amazon, formerly Adept.AI