Samuel Seng is an AI researcher and seasoned software engineer with 12 years of experience building production-grade systems that bridge neural networks, brain-inspired vision, and AI-augmented user interfaces. Based in New York, he has led full-stack and ML efforts at Bloomberg—saving millions by stabilizing trading UIs and modernizing large desktop infrastructure—and now runs independent research and product work focused on construction-plan understanding and agent architectures. He is an active open-source author (including Bloomberg API providers and front-end contributions to the widely used Submitty grading system) and wrote the official Python tutorial for Google A2A. Samuel blends low-level systems and robotics experience (ROS, Gazebo, a 3D-printed robotic hand) with modern web stacks (Typescript, React, Next.js) to deliver practical tooling for domain experts. He’s also applied his skills to civic tech and education—datamining government records and teaching deep learning workshops in Cambodia—reflecting a mix of technical depth and community impact. Persistent curiosity about alternative learning rules (Hebbian, Hopfield, RTR L) fuels his research-driven product work and unconventional approaches to AI.
12 years of coding experience
7 years of employment as a software developer
Pursuing Bachelor of Science (B.S.) Mathematics, Pursuing Bachelor of Science (B.S.) Mathematics at New York University
Bachelor of Science (B.S.) Computer and Systems Engineering, Bachelor of Science (B.S.) Computer and Systems Engineering at Rensselaer Polytechnic Institute
Homework Submission, Automated Grading, and TA grading system.
Role in this project:
Front-end Developer
Contributions:129 commits in 7 months
Contributions summary:Samuel primarily focused on developing the front-end user interface for the submitty/submitty repository. The commits demonstrate the creation of site login and home pages. These pages incorporate Bootstrap CSS styling, and implement a model view controller (MVC) structure, suggesting the user's contributions were centered on implementing core frontend functionality and establishing the basic structure for user interaction.
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