Works

Software Engineer

LG Electronics · Englewood Cliffs, USA (Remote)

• –Shipped Next.js, Redux, and TypeScript B2B platform features for 1,000+ vendors, contributing to a 25% user-engagement lift.
• –Designed analytics and tagging frameworks adopted by 6+ product teams, enabling real-time measurement and data-driven feature prioritization.
• –Built AI-powered global search with 35 ms lower latency and checkout workflows that drove a 15% conversion lift across promo-code and magic-link flows.

Tech Lead

Vibecore · Remote

• –Lead a small engineering team building a GitHub-native software verification platform for founders who build with AI coding tools.
• –Automated CI/CD deployments from GitHub Actions to AWS EC2, standardizing releases for EC2-hosted applications.
• –Configured S3, DynamoDB, and IAM permissions for cloud-connected application workflows.
• –Provisioned and maintained EBS/EFS storage for application data and deployment infrastructure.

Software Engineer

Hoek Insights · Amsterdam, Netherlands (Remote)

• –Engineered a Python package for Three.js visualizations in Jupyter, reducing render time by 38% and bundle size by 25% through React renderer optimization.
• –Shipped a FastAPI and PostgreSQL MVP with 18+ endpoints and 10 product workflows.
• –Maintained below 200 ms median staging latency and 95% integration-test coverage through automated API testing.

Software Engineer

Timeero · Phoenix, USA (Remote)

• –Led frontend development of a TypeScript, React, Vite, and Mapbox mileage-tracking application supporting 1,000+ active users.
• –Shipped 15+ geospatial workflows for segment mapping, mileage capture, and field operations.
• –Improved time-capture accuracy by 30% through Mapbox-based mapping and production workflow refinements.

Undergraduate Researcher — Algorithms & Computational Geometry

GADA Lab · University of Manitoba

Supervisors: Dr. Stephane Durocher, Dr. Anurag Murty Naredla, Dr. Leqi (Jimmy) Zhu & Dr. Avery Miller

• –Fuel-efficient collaborative delivery: an O(n²) algorithm for the line-restricted setting (improving the previous O(n³) bound from WALCOM 2025), an O(n³) algorithm for the L1 setting, and an NP-hardness proof for the Euclidean setting, where the L1 algorithm gives a √2-approximation.
• –Developed an approximation algorithm for Hamiltonian-path optimization in spatially embedded graphs with visualization and randomized testing across 100+ synthetic instances.
• –Improved a noncrossing spanning-tree research library by 30% and strengthened its Python testing, documentation, and development practices.

Honours Research Project — Calibrated Risk Prediction

Department of Computer Science · University of Manitoba

Supervisors: Dr. Christopher Henry, Dr. Mohammad Sayari & Dr. Sadaf Salehkalaibar

• –Building calibrated models for potato pathogen-risk and yield-loss prediction, in collaboration with the Department of Plant Science.

Machine Learning Researcher

Terrabyte ML Research Group

• –Extended diffusion-based learning to higher-order relational data by implementing 4 Hypergraph Neural Diffusion variants with PyTorch and PyTorch Geometric.
• –Built an MLflow pipeline tracking configurations, metrics, and evaluations for 25+ experiments across 5+ datasets.

Undergraduate Researcher — Combinatorics & Graph Theory

MXML · Department of Mathematics · University of Manitoba

Supervisors: Dr. Andrii Arman & Dr. Mahsa N. Shirazi

• –Established a coefficientwise inequality underlying the Hurlbert–Kamat property for perfect m-ary trees and derived a closed-form expression for their independence number.
• –Used generating functions, polynomial recurrences, and induction, with SageMath validation across 1,000+ instances.