// computer science · quantum + ml + ai

Quantum computing, machine learning, and software.

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

Technical focus.

A short list of the tools I use most. More details are in my resume.

AI/ML

PyTorch · TensorFlow · scikit-learn

BIG DATA

Redis · PGVector · PostgreSQL · Pandas · NumPy

LANGUAGES

Python · SQL · TypeScript · JavaScript · Java

TOOLS & FRAMEWORKS

Git · Docker · Next.js · ReactJS · FastAPI

02 / Work

Experience.

Research, software development, and data systems.

2026 — NOW

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.

WLU
2026

Quantum Computing Research Assistant

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.

WLU
2025

Machine Learning Research Assistant

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%.

WLU
2024

Software Developer Intern

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.

CITY OF TORONTO

03 / selected projects

Projects.

Selected work across automation, data, and full-stack systems.

PROJECT / 02

CaseHacks
event systems

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.

NEXT.JSDOCKERN8NFULL-STACK
PROJECT / 03

Quantum feature selection

QUBO-to-QAOA experiments for high-dimensional forest inventory and macroeconomic datasets.

QISKITPENNYLANEPYTHON

04 / extracurriculars

Extracurriculars.

CURRENT

Co-President, ML/AI Club

CURRENT

Directed Research

Computational pathology and whole-slide image analysis for cancer detection

PREVIOUS

Vice President, CaseHacks

PREVIOUS / 4 YEARS

Member, HawkWalk (Safe Walk Program)

05 / contact

Reach Out!

I’d love to talk about projects, research, or whatever you’re working on.

[email protected]