Akul Datta
Applied AI Engineer at Mercor
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolAkul Datta is an Applied AI Engineer with eight years of experience building production-ready AI systems and research-driven products across startups and academia in the San Francisco Bay Area. He combines hands-on engineering—shipping scalable, low-latency systems and data pipelines—with applied research in vision, robotics, and RL environments, including published work on rover path planning. At Endor Labs he developed a human-in-the-loop LLM agent and a 95%+ accurate NL-to-CLI pipeline for AppSec workflows, and his research projects include synthetic MuJoCo datasets and Stable Diffusion fine-tuning for state-of-the-art OOD detection. A UIUC MS CS graduate and creator of a widely read AI research newsletter, he bridges the gap between cutting-edge papers and practical engineering impact. He’s currently focused on building RL environments at Mercor, bringing both production rigor and research curiosity to applied AI problems.
8 years of coding experience
1 year of employment as a software developer
Gunn High SchoolMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Illinois Urbana-Champaign
English
Stackoverflow
1reputation
0reached
0answers
0questions
Programming languages (1)
Github contributions (5)
AkulDatta/prideandprejudicething
Apr 2020 - Apr 2020
Contributions:27 pushes, 1 branch in 1 day
CodeToArchitecture/Backend
Mar 2024 - Mar 2024
Contributions:16 pushes, 1 branch in 1 day
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