Sharada Mohanty
CEO Founder at AIcrowd
Geneva, Geneva, Switzerland
Summary
👤
Senior🎓
Top SchoolSharada Mohanty is the CEO and Founder of AIcrowd, an open-source platform that runs machine learning competitions addressing real-world problems, and has 12 years of experience bridging research and product. Trained as a PhD researcher in Artificial Intelligence & Health at EPFL and with prior roles at CERN and as co-founder of crowdAI.org, she combines academic rigor with startup execution. She is hands-on technically, contributing backend and DevOps improvements to notable open-source projects such as the Stanford osim-rl reinforcement learning environments, including building a Redis grader and enhancing submission tooling. Based in Geneva, she excels at turning complex ML research into reproducible, scalable challenge infrastructure that attracts diverse contributors. Her background in computational linguistics and cross-disciplinary collaborations informs a pragmatic approach to AI that emphasizes reproducibility and real-world impact.
12 years of coding experience
4 years of employment as a software developer
Bachelors in Computers Science and Masters by Research in Computational Linguistics Computer Science, Bachelors in Computers Science and Masters by Research in Computational Linguistics Computer Science at International Institute of Information Technology Hyderabad (IIITH)Doctor of Philosophy - PhD Artificial Intelligence & Health, Doctor of Philosophy - PhD Artificial Intelligence & Health at EPFL
Github Skills (12)
redis10
python10
reinforcement-learning10
api-design9
devops9
api9
docker8
dockers8
machine-learning7
deep-reinforcement-learning6
biomechanics6
simulator6
Programming languages (9)
Github contributions (5)
stanfordnmbl/osim-rl
Nov 2016 - Aug 2019
Reinforcement learning environments with musculoskeletal models
Role in this project:
Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:47 commits, 14 PRs, 28 pushes in 2 years 8 months
Contributions summary:Sharada primarily focused on improving the project's back-end infrastructure and integration with external services. They made changes to the submission script to align with API changes, pointed the script to different grader subdomains, and updated the submission script to simulate more steps. The user also developed a first working version of a redis grader for the reinforcement learning environment, incorporating necessary service commands and interactions. Furthermore, they made a number of changes to the submit script and service file, adding support for features like the max_steps, seed_map, and timeout.
physicsbiomechanicskinematicsmusculoskeletal-modelsmusculoskeletal
spMohanty/malmo-conda-recipe
Feb 2018 - Jul 2018
Contributions:23 commits, 12 pushes, 1 branch in 5 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.