Final-year Engineering Science (Robotics) at the University of Toronto, operating at the seam where autonomous systems, machine learning, and quantitative finance collide.
I'm a final-year Engineering Science student majoring in Robotics, with a double minor in Engineering Business and Artificial Intelligence. My foundation is hardware and control, but my trajectory points squarely at AI-driven quantitative finance — turning models into decisions that move capital.
My undergraduate thesis at the FORM Lab under Professor Roy Kwon fuses machine learning with convex optimization for statistical-arbitrage Markowitz portfolios — a pipeline that cleared survivorship bias on real CRSP/WRDS data and held its edge through live market regimes.
Before finance, I logged serious time in the field: autonomous drones and self-driving stacks on ROS2, embedded systems on bare-metal STM32, and a co-op designing electrical systems for 100+ interiors. Different domains, same instinct — drop into the unknown, learn fast, ship something that works.
Off the grid: certified deep-water scuba diver (dove the Galápagos with sharks and sea lions), 10+ years on the flute, plus weightlifting, cooking, and a growing shelf of Gundam model kits.
ML-enhanced statistical-arbitrage on a Markowitz portfolio — figuring out where learning actually adds value in a quant pipeline.
Dropped into building systems with zero prior background and made it my domain — coordinating architects, contractors, and budgets at consulting pace.
Sensor and driver work on the university's autonomous-vehicle stack, the perception layer's plumbing.
First robotics internship — startup tempo, code on day one, real systems in the field.
Solved the mean-variance optimization problem for an n-asset portfolio to trace the full efficient frontier, with data pipelines computing 10-year returns, covariances, and volatilities.
A diffusion-transformer audio generator with test-time training, plus adaptive MLP blocks across 24 layers for real-time refinement and steadier generation.
A 7-node ROS2 system on Jetson with HSV / YOLOv8 vision and a 6-state flight FSM, including Archimedean-spiral re-acquisition on target loss via T265 visual-inertial odometry.
An interactive robotic system on STM32-DISCO blending a touchscreen UI, audio, sensors, LEDs, and servos, driven by an interrupt- and timer-based finite state machine.
DCF and CAPM valuations for Caterpillar and Deere, with IRR / NPV analysis on a $120M project across tax and discount-rate scenarios, and DuPont risk comparisons.
A hand-built WebGL experience — infinite neon grid, a glowing cyberware core, bloom post-processing, and a HUD interface. No frameworks, just shaders and intent.
Open to quant, ML, and robotics roles starting 2026. If you're working on something at the intersection of intelligence and capital — let's talk.