I'm an AI engineer focused on building real-world systems that automate high-friction, high-stakes workflows. I recently completed my B.A.Sc. in Computing Science at Simon Fraser University, where I combined academic research with hands-on product development across logistics, legal tech, and healthcare.

In 2024, I founded LoadMinds, an AI-powered dispatcher that automated quoting, customs clearance, and invoicing for cross-border trucking companies. The system processed over 1,500 loads in production, reduced dispatcher workload by 85%, and was later acquired by MG Transport Ltd.

Before that, I worked as a Software Developer Intern at Geotab, where I contributed to vehicle tracking systems and improved route visualization and data handling algorithms.

I've also led and built several AI-focused projects:

• LegalEase – An AI legal assistant that uses LLMs and RAG to generate lawyer-reviewed responses, streamlining access to reliable legal information.

• PixIndexer – A privacy-first mobile app that lets users semantically search their photo gallery using vague prompts like “that party with blue lights.”

• Arsenal Match Predictor – A machine learning model predicting match outcomes for Arsenal FC using real game data and classification algorithms.

• Cradle – Built in collaboration with Dr. Brian Fraser (SFU), Cradle is a healthcare data platform developed for Ugandan clinics to improve recordkeeping and accessibility in low-resource settings.

I'm passionate about building agentic AI systems that ship, scale, and solve meaningful problems—not just demos. Whether it's dispatch automation or symbolic reasoning, I’m driven by the potential of AI to simplify complexity and empower people.