Computer Science Student · AI/Full-Stack Developer
Building AI-powered applications to solve real-world problems, alongside clean, fast, modern web experiences — from refined UI design to robust backend systems. Most recently an AI/ML Extern @ Pfizer and a Back-End AI Engineering Intern @ FlyRank AI. Currently seeking Summer 2027 internships and onwards, including 8, 12, or 16-month co-op opportunities.
Experience & Education
My academic background and professional history.
AI/ML Extern@ Pfizer
May 2026 — Aug 2026Built AI document-processing pipelines using OCR tools (Tesseract, PaddleOCR) and explored RAG workflows with LlamaIndex and open-source LLMs for document retrieval and classification. Evaluated OCR and retrieval performance, researched optimization strategies, and contributed to technical documentation and prototype UI development for demos.
Back-End AI Engineering Intern@ FlyRank AI
Jul 2026 — Aug 2026Completed 13 backend and AI engineering assignments, including a CRUD API with authentication, PostgreSQL integration, a containerized Docker stack, and a rate-limited web scraper. Built AI-driven tooling such as a decision-flow app with React Flow and Inngest and a PDF report generator, and delivered the program capstone project ("Your 10x Solution").
AI Developer@ Western Cyber Society Club
2025 — 2026Collaborated on applied AI projects through design discussions, model evaluation, and iterative development on real-world problems.
Productions Crew@ Western University
Sep 2024 — PresentDelivering end-to-end event production for large-scale student events. Coordinating audio-visual systems for audiences of over 42,000 students.
Honours Specialization in Computer Science@ Western University
Expected 2028Dean's Honours List (2024-2025, 2025-2026). Relevant Coursework: Data Structures & Algorithms, Python, Java, C, ARM Assembly, Unix/Linux, Computer Logic.
Selected Projects
A focused selection of real-world projects emphasizing product thinking, technical depth, and execution.
FIFA WC 2026 Predictor
An ensemble match prediction system (XGBoost + Logistic Regression + MLP) with isotonic probability calibration, built on a stateful feature pipeline tracking Elo ratings, rolling form, attack/defense metrics, and head-to-head records for all 48 World Cup 2026 teams. SHAP analysis across 136 engineered features quantifies signal contribution, a team-dependent Poisson model predicts scorelines, and a 1,000-iteration Monte Carlo simulator estimates each team's championship odds. Achieves ~60% match prediction accuracy, served via FastAPI with an interactive Next.js frontend.
Argus Labs
Made as a participation to the DataQuest'26 hackathon hosted by WesternAI, this system takes in an MRI image and categorizes it into one of four classes (glioma, meningioma, pituitary tumor, or no tumor). It achieved about 91.9% accuracy using a CNN trained on 7000 images. We built a full pipeline from image upload to prediction, featuring an interactive 3D brain visualization to make results easier to understand.
NeuroPulse
Built out of a recent interest in neuroscience, NeuroPulse is a web-based tool that simulates neural activity propagation across different brain regions and visualizes it on a 3D brain model in real time. It allows you to observe how activity patterns change under different cognitive states such as Focus, Relax, and Motor modes, while displaying real-time neural signal charts and region-based activity monitoring.
Wash & WaxWorks
A full-stack service booking platform supporting a real car detailing business, handling customer discovery and scheduling.
Open to new ideas!
I’m currently seeking Summer 2027 internships and onwards, including 8, 12, or 16-month co-op opportunities. I’m also open to collaborations and interesting technical problems. If you think there’s a fit, feel free to reach out.