ML Research Assistant at 
GeoTrans Labs
I'm a 3rd Year Computer Engineering Student. I live and breathe programming.
GeoTrans Labs. Previously, I built production software as a Software Engineer Intern at 
VSF Holdings, completed my SWE (AI/ML-focused) Residency at 
Headstarter, and wrapped up my role as an AI Student Ambassador at 
Intel Corporation. I’m interested in full-stack or backend/systems engineering roles where I can build and ship at scale. I’m eager to break into banks or big tech companies serving millions—if not billions—of users. I’m currently searching for an 8-month co-op starting Winter 2026, and I’m open to longer terms when the fit is right.
Python, 
TypeScript, 
JavaScript, 
C/
C++, and shells things together with 
Bash. I craft the client-side with 
HTML, 
CSS, and ship polished interfaces in React, Next.js, and rapidly iterate with Tailwind. On the backend, I spin up services in Node.js, Express.js, and fabricate APIs with 
FastAPI. Data lives in PostgreSQL, MongoDB, Supabase, and Firebase, with plenty of monitoring and testing sprinkled in.
. GeoTrans Labs, University of AlbertaSep 2025 - Present
Working with grad researchers on AI/ML for winter transportation — geospatial + vision modeling, fast inference, and backend-first pipelines. Optimizing ONNX (Swin Transformer) models (31s → sub-5s/144 imgs), building FastAPI/Firebase/Cloud Run services, and prototyping LangChain + Gemini for multimodal RAG. Handling traffic/weather data preprocessing in PyTorch and wiring up mapping + time-series dashboards for real-time use.
IntelMay 2025 - Sep 2025
Leveraging Intel’s AI Analytics Toolkit and Developer Cloud to build, optimize, and deploy machine learning models. Focused on accelerating data workflows with tools like Modin, scikit-learn, and XGBoost, while fine-tuning models for performance and pushing production-ready pipelines to Hugging Face.
VSF HoldingsJul 2025 - Aug 2025
Collaborating directly with VSF’s executive team to design and develop the company’s flagship full-stack website — the primary public face for investors, partners, and stakeholders. Responsible for architecting and implementing both frontend and backend systems from scratch, with a focus on clean, modern, UI/UX. Integrated CRM onboarding flows, investor signup, and CMS features using a robust, scalable React/Next.js + FastAPI stack. Delivered mobile-responsive, production-ready components and handled weekly stakeholder check-ins, feature planning, and Figma prototyping.
HeadstarterMay 2025 - Aug 2025
As a Software Engineering Resident at Headstarter, I’m building 14+ full-stack and AI/ML projects focused on deploying real-world tools. My work spans LLM chaining, hyperparameter tuning, and fine-tuning over 10+ models, all with production-ready pipelines. I’ve contributed to both Python-based backends and TypeScript frontends, and have been mentored by engineers from Google, Tesla, and Two Sigma.
AlbertaSATOct 2024 – Jan 2025
Built Rust-based subsystem simulations to test CubeSat behavior before hardware integration. Collaborated with engineers to validate systems for a 2026 satellite launch.
Computer Engineering Club, University of AlbertaSep 2024 – Present
Currently serving as VP External, leading industry outreach, coordinating cross-club collaborations, and securing sponsorships for major events like Aether, HackED, and HackED Beta. Spearheading development of the Aether website (https://aether.compeclub.com/) and driving student-industry engagement through panels, networking nights, and hackathons. Previously served as Junior Executive for the 2024–25 term, representing second-year Computer Engineering students and leading outreach efforts that brought in multiple confirmed sponsors for the club’s flagship initiatives.
Analyzing winter road grip conditions as a GeoTrans Lab undergraduate research assistant.
Real-time posture monitoring and analysis using AI-powered pose detection, built during Hack The North 2025.
AI-powered property recommendation system for real estate appraisals
Classifying brain tumors in MRI scans using advanced deep learning, with a Streamlit web app and Xception transfer learning.
An intelligent system that powers automated customer service interactions through AI-driven conversations
Multimodal video assistant powered by Gemini — ever wish your video could answer back? Now it can
A Python-based tool that analyzes Reddit posts and comments to gauge stock sentiment, correlating social sentiment with market data for trend insights.
AI-driven medical form automation system that extracts data from referral packages and fills Prior Authorization PDFs in under 2 minutes
EMG-based gesture control interface using the Bioamp EXG Pill and Arduino. Maps forearm muscle contractions to keyboard actions with real-time signal processing and peak detection algorithms
Your Python-based AI sidekick: Gemini does the heavy lifting, then pushes polished summaries into Docs
