Tom Jeong
Developer, AI Researcher, and Tech Enthusiast
About Me
I'm Tom (Wonsuk) Jeong, a Computer Science and Mathematics student at Georgia Tech with a passion for AI, machine learning, and algorithmic problem-solving.
With experience in software engineering, research, and leadership, I focus on creating scalable AI solutions that make a real-world impact.
My technical interests span from advanced algorithms to deep learning, with practical applications in quantitative research and bioinformatics.
"An intelligent man cannot become anything seriously, and it is only the fool who becomes anything." - Dostoevsky
Work Experience
Georgia Institute of Technology
Teaching Assistant
Assisting Professor Merrick Furst in teaching CS 3511: Design and Analysis of Algorithms (Honors). Supporting 75 students and authoring course materials.
JJ Bridge Consulting
Software Engineer Intern
Developed RESTful APIs and integrated PostgreSQL databases to streamline consulting data. Implemented ML models to analyze over 2,000 student profiles.
Leadership Roles
Quant Research Sector Leader
Trading at Georgia Tech | Aug 2023 - Present
Developed Bytality, a server platform for submitting and validating trading models for competitions. Managed a team of 5 software engineers and processed 200+ trading model submissions.
CubeSAT Project Supervisor
Fulton Science Academy | Jan 2023 - Present
Led a team of 10 students in designing and developing a Cube Satellite passing NASA's Phase 1 validation. The project won the 2023 NCSSS Innovative STEM Student Program of the Year Award.
Notable Projects
OrcaFold
A state-of-the-art protein structure prediction system implementing advanced deep learning architectures inspired by AlphaFold, featuring MSA processing and 3D coordinate prediction.
Processing MSA alignments...
Running Evoformer iterations: 32/32
Structure prediction complete!
Saved: predicted_structure.pdb (pLDDT: 92.4)
LayerSkip for Mixture of Experts
Implemented LayerSkip mechanism with a Mixture of Experts architecture, to dynamically adjust processing depth based on input complexity.
AlphaQubit
Created an open source AI-driven quantum simulation framework leveraging deep learning to efficiently model and scale qubit interactions.
Lychee Terminal
A comprehensive management system and database for code generation using RAG and embeddings, reducing database retrieval time by 44%.
Bytality
A server platform for submitting and validating trading models for competitions at GT, Berkeley, and UGA with $20k+ AUM.
FSA Astronomy Dome
Currently working on image processing systems for astronomical observations, implementing algorithms for star tracking and celestial object identification.
FPGA Development
Working on FPGA-based systems using the Alchitry Au development board, focusing on high-performance computing applications and digital signal processing.
CubeSAT Flight Software
Flight software for a Cube Satellite developed with a team of students, passing NASA's Phase 1 validation.
Technical Expertise
Programming Languages
ML/AI
Cloud & Databases
Get in Touch
Interested in collaborating on a project or discussing opportunities? Feel free to reach out: