Akul Datta

Akul Datta

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Applied AI @ Mercor
California, United States
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Résumé

Jobs verified_user 0% verified
  • Mercor
    Applied AI Engineer
    Mercor
    Aug 2025 - Current (1 year 3 months)
    Building RL Environments
  • Arc Prize Foundation
    Software Engineer
    Arc Prize Foundation
    Jun 2025 - Jul 2025 (2 months)
  • Endor Labs
    Software Engineer Intern
    Endor Labs
    May 2024 - Aug 2024 (4 months)
    Developed a human-in-the-loop LLM agent to autonomously manage and enhance AppSec workflows. Built an AI pipeline achieving 95%+ accuracy for converting natural language to CLI commands. Implemented a security vulnerability detection system for accurate pull request SAST analysis.
  • University of Illinois Urbana-Champaign
    Undergraduate Researcher
    University of Illinois Urbana-Champaign
    Jun 2023 - Oct 2023 (5 months)
    Designed and implemented a new SoTA Priority-Aware Load Balancer and Adaptive Concurrency Filter. Improved traffic handling by separating traffic into high and low priority using a new queue load balancer filter.
  • A
    AI Newsletter - Creator
    AI Researcher
    May 2023 - Jul 2024 (1 year 3 months)
    I curated and summarized the latest AI research papers using AI. It is subscribed by researchers, VCs, professors and engineers. https://akuldatta.substack.com/
  • The University of Texas at Austin
    Researcher
    The University of Texas at Austin
    May 2023 - Dec 2023 (8 months)
    Developed a synthetic dataset using MuJoCo to enhance out-of-distribution (OOD) object detection. Fine-tuned Stable Diffusion models, achieving state-of-the-art results for vision-based OOD tasks. Optimized large-scale GPU cluster training for model performance and efficiency.
  • Axiamatic
    Software Engineer Intern
    Axiamatic
    May 2022 - Aug 2022 (4 months)
    Built a scalable, fault-tolerant audit log system with sub-second latency and 99.99% uptime in Java & SpringBoot. Build a prod-ready data ingestion pipeline handling 1000+ events/second using AWS Lambda, SQS, OpenSearch.
  • Stanford University
    Research Intern
    Stanford University
    Jun 2020 - Sep 2020 (4 months)
    I worked with professors at Stanford and created machine learning models for path planning on rovers in 3D environments. We published this research at the 2021 Robotics Science and Systems Conference. Paper link: http://www.roboticsproceedings.org/rss17/p046.pdf
Education verified_user 0% verified
  • University of Illinois Urbana-Champaign
    master, Master of Science - MS, Computer Science
    University of Illinois Urbana-Champaign
    Jan 2024 - Jan 2025 (1 year 1 month)
  • University of Illinois Urbana-Champaign
    bachelor, Bachelor of Science - BS, Computer Science
    University of Illinois Urbana-Champaign
    Jan 2021 - Jan 2024 (3 years 1 month)
  • G
    Gunn High School
    Gunn High School
    Jan 2017 - Jan 2021 (4 years 1 month)
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