Building multimodal machine learning systems to help filmmakers streamline their creative process. Working on video understanding, generation, and editing.

A decentralized cross-device model training system with model and tensor parallelism to reduce compute needed to train large models.

City simulation of Los Angeles with AI Agents, simulating human behaviour and optimizing transit routing with RL to maximize mobility at the lowest carbon cost. Finalists @ AI Berkeley Hackathon.

Interned at Hitachi Rail to work on safety simulation software for New York trains. I worked on custom network protocols, firmware interaction and prototyped energy optimization for train efficiency.

Foundational models for visual reasoning in robotics to handle unseen objects and dynamic environments. Demoed at W24 Socratica Symposium.

Working on the action team for a self-driving car design team, WATonomous, in Waterloo. I'm working on a low-latency data-driven controls model for the car.

Built an entirely self-sustaining startup on AI Agents, which built the startup from scratch, made business plans, did branding, built a full-stack app and put a job posting on LinkedIn.

Experimented with graphs and embeddings to match people to events, used on 800+ person events in Waterloo and built in Stanford at TreeHacks.

Scraping citizen complaints on Reddit/media, correlating issues based on location and unresolved government proposals, then generating policy recommendations with AI agents. Winner @ New Builds.

Helping with the software behind Bracket Bots, a self-balancing robot for under $200 that can roam around your house.

Experimenting in the Cohere for AI lab on a way to represent different languages as different modalities for training multilingual language models.

Built Axiom, a multiplayer IDE for formal proofs, for the SE212 Logic and Computation course at the University of Waterloo.

Technical Advisor for a high school team trying to win the F1Tenth Driverless Competition, using Reinforcement Learning policies and ViT models for autonomous driving.

256 Dimension audio embeddings for semantic audio analysis using waveforms and Fourier Transforms, trained with contrastive learning.

Worked with Tempo Labs to build generative UI agents in multiple programming languages concurrently.

Worked with Aviato to build a recommendations system for recruiting top AI talent amongst 300k+ engineers.

Built a compiler from scratch in C++, implementing a lexer, parser, and compiler for a simpler version of C.

Shapeshift is an optimization platform that analyzes seismic frequencies and local policy to design earthquake-resistant buildings at the lowest cost.

Built an autonomous model tank that navigates campus walking paths and delivers small parcels. Implemented path planning, simulations, object detection, PID control, and CV.

Long-term memory with multimodal knowledge graphs to search 7 days of video and audio within 5 seconds. Winners @ Hack the North 2023.

Trained a smaller VQGAN+CLIP to generate images from text and poetry prompts. Scaled up inference to run on MacBooks efficiently.

Graphing 500K+ papers and dynamically distributing funding given to ideas based on relevance. Winners @ Hack the North 2022.

An offline mesh network written in Swift to allow for cross-device transfer of files entirely offline, creating a chain of encrypted nodes.

Full-stack engineering intern at Camp Social. Built core microservices and APIs with Ruby on Rails, Typescript and Solidity for efficient smart contract generation.

Built a full-stack web app for multilingual applications to join Hack Club, resulting in 7000+ sign ups globally and featured in the Github Newsletter.

School-wide dashboard for students to manage their club and events, with 500+ active students.

Gave a workshop to high school students, writing a custom blockchain in Javascript. We covered encryption, smart contracts and blockchain security.