Kyna Wu | Computer Engineer

Hi, I'm Kyna Wu.

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Self-driven, quick starter, and a curious computer engineer who enjoys solving complex, real-world problems.

About

I’m a Computer Engineering student at the University of Toronto (BASc, Business Minor, AI Certificate — expected 2026). I enjoy building data-driven and ML-powered systems and have 16 months of professional experience across power systems analytics and high-performance computing.

Recently, I worked at Toronto Hydro on capacity planning and grid innovation, analyzing large time-series datasets (station load, weather, EV, electrified heating) and producing tools and visuals that inform real infrastructure decisions. Previously, I optimized parallel scientific codes at the National Supercomputing Center in Wuxi on Sunway TaihuLight.

I’m passionate about turning complex problems into practical software—whether that’s robotics (my capstone), optimization, or real-time mapping.

Programming: Python, C, C++, Java, JavaScript/TypeScript, HTML/CSS, SASS, Git
Machine Learning: PyTorch, scikit-learn, data preprocessing, fine-tuning & deployment
Digital Design: Verilog, VHDL, FPGA (Quartus Prime, ModelSim), RTL/SoC
Web: React, Node.js, Vue.js, wireframing & prototyping (Figma)

I’m looking for opportunities where I can combine ML, systems, and product thinking to ship impactful features.

Experience

Toronto Hydro

Senior Technical Student - Stations Planning

Analyzed large-scale time-series data (station load, weather, EV demand, electrified heating) using Python (pandas, NumPy, scikit-learn).
Assisted with capacity & reliability planning for distribution stations (load transfers, customer connections, upgrade requirements).
Produced reports & visualizations to guide planning for major customers (airports, universities, data centers).
Tools: Python, PyTorch, Pandas, NumPy, Matplotlib, scikit-learn

Sep 2024 - Aug 2025 | Toronto, Canada

NSCCWX

Parallel Optimization Intern

Modernized legacy Fortran simulations with MPI/OpenMP parallelization, improving runtime on Sunway TaihuLight.
Automated performance benchmarks and generated reports on speedups & resource utilization.
Worked on distributed compute workflows across thousands of HPC nodes.
Tools: C, Fortran, MPI, OpenMP, Python

May 2023 - Aug 2023 | Wuxi, China

Projects

                
Robotic Arm (AI-based Control)
                  Capstone build with custom PCB, ESP32 control, and AI face tracking.
                
HighlightsDesigned & 3D-printed components in SolidWorks; custom PCB and motor control on ESP32.
Bluetooth & wireless USB comms for synchronized motion between remote and arm.
Integrated Google Face Mesh for dynamic user-aware tracking.

Geographic Information System (Top 1 Optimization)
                  Interactive C++ GIS with real-time data and optimized routing.
                
HighlightsImplemented Dijkstra, A*, Greedy; experimented with RL for path optimization.
Integrated OpenStreetMap & Libcurl APIs; responsive GUI with GTK.
Real-time traffic/transit/weather overlays.

Crazy Arcade
                  Real-time tile engine on FPGA in bare-metal C with memory-mapped VGA/PS-2 peripherals and deterministic, timer-driven events.
                
HighlightsInterrupt-scheduled events: Hardware timer interrupts + compact FSMs orchestrate bomb lifecycle (arm → detonate → cleanup) independently of frame rate.
BRAM tile grid + directional casting: Bit-packed tiles in on-chip BRAM; explosion propagation via four-way ray-casting with early termination for indestructible cells.
Tear-free I/O pipeline: VSYNC-aligned, double-buffered VGA rendering; PS/2 scan-code parsing with debounce and edge detection; fixed-timestep update loop for consistent behavior.