hello, my name is
Engineering Physics graduate with interests in robotics, machine learning and software development. I enjoy building systems that combine hardware and software to solve real-world problems.
I'm a recent graduate of the Engineering Physics program at the University of British Columbia — a multidisciplinary program combining physics, mathematics, and engineering to apply theoretical ideas to practical systems.
My focus is reinforcement learning and deep learning with applications to robotics systems, including sim-to-real transfer. I'm also passionate about Qt software development. Whether that's training RL agents, developing control software, or building full-stack applications — I like creating intelligent systems and tools that solve real problems.
Outside of engineering you'll find me on a tennis court, on a ski slope, or at a piano.
CAPSTONE · WAYVE
Sep 2025 — Apr 2026
A miniature real-world RL platform: PPO policies trained in Isaac Lab, zero-shot transfer to modified 1:64 RC cars, single-agent fine-tuning, and physical multi-agent driving.
DRAO · OBSERVATORY
Sep 2024 — Apr 2025
A vehicle-triggered RF monitor combining camera detection, HackRF spectrum sweeps, a shielded enclosure, and fiber-linked TCP data collection with a PyQt interface.
ENPH 253 · 1ST PLACE
Jun — Aug 2023
Autonomous line-following robot that won the UBC Engineering Physics robotics competition with a record 15-second lap time. STM32 firmware in C++, PID tape following, and a hand-built state machine.
ENPH 353 · ML
Sep — Dec 2023
Built a character-recognition CNN, curated training datasets, and implemented clue-board perception and a state machine for a simulated autonomous robot. Read all eight clues correctly in competition.
// LANGUAGES
// ML & ROBOTICS
// HARDWARE
// TOOLS
05. What's next
I'm currently working part-time and looking for master's research opportunities in robotics and machine learning. My inbox is open — say hello.
sasangh@student.ubc.ca