Quantum Machine Learning Research Assistant
Building quantum-classical ML pipelines for decentralized multi-drone navigation. Integrating DQN with TD3/PPO models and Google OR-Tools to explore multi-agent decision making.
// computer science · quantum + ml + ai
I’m Shayan, a 4th year computer science student at Wilfrid Laurier University. I work on research projects and software systems involving data, machine learning, and AI.
01 / skills
A short list of the tools I use most. More details are in my resume.
PyTorch · TensorFlow · scikit-learn
Redis · PGVector · PostgreSQL · Pandas · NumPy
Python · SQL · TypeScript · JavaScript · Java
Git · Docker · Next.js · ReactJS · FastAPI
02 / Work
Research, software development, and data systems.
Building quantum-classical ML pipelines for decentralized multi-drone navigation. Integrating DQN with TD3/PPO models and Google OR-Tools to explore multi-agent decision making.
Formulated feature selection as a QUBO problem and built a QAOA pipeline with PennyLane and Qiskit, scaling experiments to 15-qubit circuits and validating against brute-force baselines.
Processed 18,000+ records across 70 features for a clinical data bank. Evaluated deep learning imputation models and improved sparse patient-reported outcome reconstruction by up to 16%.
Modernized municipal data workflows with SQL and VBA ETL, collaborated through QA/UAT, and shipped 10+ AODA-compliant React pages for the City of Toronto.
03 / selected projects
Selected work across automation, data, and full-stack systems.
An in-progress agent project based on an OSFI product requirements document. Follow the build on GitHub.
Led a small team from idea to deployment: a sponsor dashboard with live event metrics and a hacker leaderboard for 200+ concurrent users, plus an n8n + Docker pipeline that personalized outreach to 500+ companies.
QUBO-to-QAOA experiments for high-dimensional forest inventory and macroeconomic datasets.
04 / extracurriculars
Computational pathology and whole-slide image analysis for cancer detection
05 / contact
I’d love to talk about projects, research, or whatever you’re working on.