Industry_Footprint
Machine Learning Engineer // HPC
- Built Torchlaunch, which is a Pytorch wrapper that makes distributed training easier for researchers.
- Was part of the founding team behind Amii’s Vulcan clusters, as part of the PAICE initiative.
- Wrote the first Slurm config file for the Vulcan clusters.
- Worked on implementing a smart resource allocation system for Slurm job submissions.
- Created ML training materials for researchers and residents.
Founding Machine Learning Engineer // Forward Deployed
- Built & deployed custom image generation, inpainting and outpainting models for ad creatives.
- Built & deployed a RHLF (Reinforcement Learning from Human Feedback) router to route prompts to appropriate model, LoRA and config parameter settings.
Lead Research Engineer
- First person to bring Generative AI to the visual effects industry.
- Built & deployed a diffusion based CGI asset generator.
- Built & deployed an LLM that acts as a screenwriting assistant tool using a RAG pipeline using vector embeddings and a FAISS index to handle fast retrieval, which was then hooked into the generation step with a lightweight retriever-generator setup.
ML Quant Research Scientist // Temporary Project
- Boosted alpha generation and portfolio sharpe ratio.
- Reduced model training time by 30.
- Improved execution efficiency.
- Identified and monetized latent market opportunities.
- Achieved 80% improvement in hit rate.
- Increased production system reliability.
Lead Applied Scientist
- Led the ML team in this newly acquired Visual Effects studio, working with data acquisition.
- Built & deployed a GAN to remove motion blur from 1.5 million images.
- Built & deployed an instance segmentation UNet model to parse human body parts.
- Adapted a NeRF model to create short videos from a limited number of image stills.
Internships
Quantum Research Resident // Optimization
- Researched the leverage Quantum photonics offer in optimization of energy distribution.
- Built a nonreciprocal quantum battery simulator using Qiskit & Pennylane.
- Developed a Monte Carlo Quantum circuit.
Quantum Machine Learning Research Intern // Transformer Models
- Collaborated with the quantum team to optimize LLM training and inference on a quantum computer.
- Built a single-head attention mechanism using a series of quantum circuits..
Machine Learning Intern // Object Detection
- Built a synthetic dataset of logos in livestreams using the Twitch API..
- Built a custom augmentation pipeline for logos being placed on screenshots..
- Trained a YOLOv4 on this synthetic dataset. Reached a mean average precision of 97.2%..
Orbital & Academic Training
Space Studies Program (SSP) // Astronaut Candidate Track
MSc. Artificial Intelligence
Hons. BSc. Computer Science