Mario Jayakumar
Vice President at Morgan Stanley
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolMario Jayakumar is a Vice President and lead Scala developer at Morgan Stanley with nine years of experience building P&L attribution systems and AI-assisted tooling for fixed income trading. He combines production-grade Scala engineering with quantitative instincts—early work includes deep RNN models for detecting anomalous trading activity and ongoing efforts to streamline P&L explanation across trading desks. A UMD double-degree computer science graduate, he progressed from summer analyst roles to technology director and now VP while staying hands-on in backend development. Mario contributes to open-source RL tooling (PettingZoo), where he implemented game logic and reward systems, reflecting an appetite for algorithmic problem solving beyond finance. Based in New York, he’s known for translating complex financial models into auditable, scalable software and for mentoring teams through technically demanding P&L and AI integrations.
9 years of coding experience
4 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at University of Maryland
Github Skills (4)
game-development10
python10
pygame9
multi-agent-reinforcement-learning8
Programming languages (4)
Github contributions (5)
Farama-Foundation/PettingZoo
Feb 2020 - Jul 2020
A standard API for multi-agent reinforcement learning environments, with popular reference environments and related utilities
Role in this project:
Back-end Developer
Back-end DeveloperContributions:273 commits, 9 PRs, 88 pushes in 5 months
Contributions summary:Mario contributed code related to a prison game, implementing a reward calculation system within the game. The code changes include the creation of prisoner classes and the game environment with functionalities of moving prisoners and checking for reward conditions. These changes indicate modifications to the core game logic, potentially enhancing or refining gameplay mechanics. The user also made some changes to the test files.
multi-agent-reinforcement-learningapigymnasiumreinforcement-learningmultiagent-reinforcement-learning
MarioJayakumar/NewsScraper
Apr 2021 - May 2021
Contributions:22 commits, 2 PRs, 3 pushes in 1 month
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