Hi, I'm Daniel!
I'm an AI/ML Software Engineer at RA Capital, focusing on building intelligent systems for investment analysis.
Also, I'm currently pursuing an M.S. in Robotics and Autonomous Systems at The Johns Hopkins University ('26). I hold a B.S. in Computer Science and Engineering Physics from Cornell University ('23).
In the past, I have worked on autonomous robots, production grade defense systems, and various sorts of computational physics research. I also play badminton and weightlift in my free time.
Feel free to contact me at dzhan6 (at) jh (dot) edu.
Relevant Skill Tags
Experience
AI/ML Software Engineer
RA Capital
Jul 2025 - Present
Building various internal Generative AI systems for investment research.
Software Engineer
Lockheed Martin
Aug 2023 - Jun 2025
Developed functionality for the Aegis BMD System, including server-side radar search doctrines and MATLAB testing frameworks.
Software Engineer
Cornell Mars Rover
Sept 2020 - Jun 2023
Built 7 DOF robotic arm control software with an IK solver in ROS 2 and Python, enabling completion of dexterous manipulation tasks in the 2023 University Rover Challenge.
Research Assistant
Seyler & Fuchs Groups
2021 - 2023
Simulated MHD flow of ablating plasma in Fortran 90 and built computational quantum dynamics models in Python.
Education
The Johns Hopkins University
M.S. Robotics & Autonomous Systems
Expected 2026
Notable coursework: AI, ML, Reinforcement Learning, Robot Kinematics, Game Theory
Cornell University
B.S. CS + Engineering Physics
Graduated 2023
Notable coursework: Robot Learning, Computer Game Architecture, Computer Systems Organization, Electronic Circuits
TA'd for: Data Analytics, Mechanics, Electromagnetism, Waves
Selected Projects
Spatial Game Theory Simulator
Developed an iterated and spatially constrained game simulator studying the emergence of cooperation in evolutionary game theory.
View Report ↗
Chess AI
Developed a chess agent using reinforcement learning via PPO and MCTS algorithms. After learning through self-play, it achieved an Elo rating of ~1100.
Aphelion Defense
Led team of 10 to build a networked multiplayer RTS mobile game.
Play Beta ↗
Flappy Bird AI
Reinforcement learning agent in PyGame achieving scores over 10,000.
General Fusion Analysis
Technical analysis of thermonuclear fusion reactor design focusing on liquid metal walls and acoustic compression pistons.
View Paper ↗
RISC-V Processor
Five-stage pipelined RISC-V processor in Logisim capable of running Pong.