I write sub-optimal code. It ships anyway.

Now

I'm a Computer Science & Statistics student at the University of Toronto, contributing to open source and tinkering with cybersecurity and programming.

Day to day, that's a mix of coursework and freelance IT consulting. I've previously helped organize GenAI Genesis, a nationwide student AI hackathon, and Google Developer Group events, served as Executive Vice-President at AMACSS, and worked as a machine learning developer at UTMIST on a signal-processing project for an external company. Away from the keyboard, I train for mountain ultramarathons and lift weights.

Experience

1. Information Technology Consultant

   Sep 2022 – Present

   Freelance

   • Integrated, containerized, and fine-tuned a PHP-based CRM for a critical-infrastructure company, cutting maintenance costs 23% and saving 30 minutes/day of repetitive work.
   • Cleaned up and migrated a production database to MariaDB with SQL, shrinking it roughly 50× with no data loss.
   • Wrote Bash and Python scripts to automate backups and administration, cutting backup and recovery costs by 70%.
   • Built Arduino-based monitoring for critical industry systems, averaging $1,300 saved per false positive and preventing production-line shutdowns.

2. Machine Learning Developer

   Sep 2024 – May 2025

   UTMIST · for Aercoustics Engineering Ltd.

   • Designed and trained PyTorch models to classify sound events on construction sites for automated noise-compliance monitoring, cutting false-positive detections 30% and lifting detection accuracy from 85% to 92%.
   • Evaluated models on precision, recall, and F1, and diagnosed class-imbalance and data-quality issues, improving detection consistency 15% on underrepresented sound events.

Leadership & activities

1. Vice-President Academics/Advisor

   From Sep 2023

   Google Developer Group · University of Toronto Scarborough

   • Coordinated with Canadian universities and industry partners to run nationwide DevFest events, hosting prompt-engineering workshops for 600+ students at U of T.
   • Ran five-week ML Study Jams teaching TensorFlow, Pandas, and Seaborn; several students went on to win Kaggle competitions, hackathons, and datathons.
   • Supported speakers across a two-day Women in Tech Conference at Microsoft HQ: 180+ participants, 25+ workshops, panels, and talks.

2. Operations Executive

   Feb 2024

   GenAI Genesis Hackathon

   • Ran judging and prize logistics for Canada's largest AI hackathon: 1,200+ registrations, 250+ hackers from 11 countries, 15 mentors, 30 judges, 66 projects.

3. Executive Vice-President

   [confirm dates]

   AMACSS

   • Managed an executive team of 13, organizing events and student life and collaborating across departments within the university.
   • Helped lead an organization serving 600+ students, addressing student needs and fostering community within the student body and faculty.

Education

University of Toronto

B.Sc. · Specialist, Computer Science · Major, Statistics · 2023–2026

• Operating Systems
• Computer Architecture
• Microprocessors Programming
• Software Engineering
• Computer Graphics

Selected projects

Three builds up top, eight more below.

Independent project

Recreating images with pizza

An evolutionary algorithm that rebuilds a target image using nothing but overlapping pizza-slice shapes. Each generation mutates shape, position, and colour, kept only if it scores closer to the source.

Systems programming

Raytracer, written in C

A ray tracer built from first principles in C: camera rays, intersection tests, and shading, with no graphics libraries to lean on.

Operating systems

UNIX-like operating system

Built out an operating system across four stages: kernel threads, user program execution, virtual memory, and a persistent file system. Each stage built directly on top of the last.

Skills