Systems Design Engineering student at the University of Waterloo with experience in machine learning, data pipelines, and full-stack development. I build scalable solutions that solve real problems—from optimizing data infrastructure to creating AI-powered applications.
WHAT I'VE DONE
Developed a unit testing framework for core BigQuery data pipelines, reducing test creation time by 2 hours per pipeline. Increased test coverage from 0% to 75%, ensuring reliable delivery of 2+ PB of data per day. Built a TypeScript monitoring program with Datadog and Dagster that reduced incident response time by 30%.
Decreased CNN model inference time by 72%, enabling real-time video object detection. Statistically analyzed concurrency and batch configurations in NVIDIA Triton, increasing throughput by 30% while decreasing latency by 38%. Fine-tuned a Yolov8 model to detect personal protective equipment with 92% accuracy.
Spearheaded automation of image mask creation using OpenCV, reducing manual efforts by 1,200+ hours. Fine-tuned a MobileViT model for image segmentation achieving 96% accuracy. Trained an EfficientNet classification model with 80%+ accuracy and developed a Flutter app for rock identification.
Reduced production time from 3 hours to 5 minutes by deploying a part selection script. Saved 8 minutes per production batch by creating a data visualization tool to detect semiconductor defects. Decreased preparation time from 2 hours to 4 minutes with automated yield and failure trend visualization.
Enabled inventory tracking across 7 locations by implementing a PostgreSQL backend system utilizing AWS. Developed RESTful APIs using Node.js and Express.js to collect sales data. Enhanced consumer purchasing experience across 50+ locations through Flutter app development.
FEATURED WORK
Built a BCI (Brain-Computer Interface) controlled keyboard using Python for individuals with speech impairments. Integrated GPT-3 API to provide word and phrase suggestions, increasing typing speed by 75%. Placed 1st in the NeurotechX Student Competition, outperforming 25 other universities.
View Project →Built a React web application that leverages OpenAI's GPT-3 API to generate creative and engaging tweets. Users can input topics or themes, and the AI generates contextually relevant tweet suggestions. Features a clean, intuitive interface for seamless tweet creation and refinement.
View Project →Developed an AI agent that learns to play Flappy Bird autonomously using a feedforward neural network. Implemented neuroevolution algorithms to train the AI through multiple generations, with each generation improving its ability to navigate obstacles. The AI learns optimal timing and decision-making without human intervention.
View Project →WHERE I LEARNED
Studying Systems Design Engineering with a focus on software development, machine learning, and optimization. Co-op program with 5 internships at leading tech companies including Statsig (OpenAI), NTT, and GaN Systems.
Studied abroad at Lund University in Sweden, gaining international experience and exposure to European engineering education and research methods.
Have a project in mind? Get in touch and let's create something amazing.