About
I’m a Computer Programming & Analysis student at Seneca graduating in 2026, with professional experience as a Software Developer at Kubota Canada and multiple freelance + startup projects. I’ve built production chatbots, optimized legacy systems, designed cloud infrastructure using AWS, and shipped AI-powered platforms like NutriEase (acquired). I’m currently focused on full-stack engineering, cloud-native systems, and building products that actually solve real problems.
Work Experience
Skills
Check out my latest work
I've worked on a variety of projects, from simple websites to complex web applications. Here are a few of my favorites.
Built an AI-powered internal IT platform that helped employees resolve common technical issues through conversational knowledge retrieval. Automated ticket triage and Jira escalation for 500+ employees while supporting observability, testing, and production workflows.
Led the development of a multi-tenant property and portfolio management platform with authentication, role-based access, financial dashboards, lease workflows, OCR, QR codes, and AI-generated reports. Established Agile delivery and CI/CD practices for a four-person team.
Designed a self-hosted AI workflow that scrapes job postings, evaluates role relevance, tailors resume content, generates ATS-friendly PDFs, and records application data. Combined LLM orchestration, custom JavaScript, third-party APIs, and automated document workflows.
Designed and deployed a cloud-native REST API for storing, converting, and serving multimedia fragments. Implemented secure authentication, distributed cloud storage, automated deployments, and more than 90% unit and integration test coverage.
Developed a Java desktop hotel management system supporting self-service kiosk check-in, front-desk operations, reservations, payments, billing, loyalty points, amenities, and audit logs. Implemented separate administrator and manager permission levels.
Built AI-assisted developer tools for pull-request reviews, flashcard generation, model evaluation, retrieval-augmented generation, tool calling, and structured reporting. Implemented model fallback and multi-reviewer workflows using modern LLM APIs.
Co-built an AI-powered nutrition platform that generated personalized meal recommendations using retrieval-augmented generation. Developed backend services, semantic retrieval, and cloud deployment workflows before the project was recognized as a hackathon finalist and later acquired.
Designed and developed a responsive website for a local café with reusable components, modern navigation, menu presentation, and mobile-friendly layouts. Focused on visual consistency, accessibility, performance, and a polished customer experience.
Led a five-person team in building a real-time graphics pipeline using OpenGL. Implemented custom GLSL shaders, GPU buffer management, geometric rendering, and a dynamic space scene featuring a procedurally rendered star field and sun.
Built a responsive game discovery platform that allows users to browse, search, and explore video games using live external data. Added detailed game pages, user-oriented discovery workflows, wishlists, and mobile-friendly interfaces.
Created a travel planning application that generates personalized destination and itinerary recommendations. Integrated AI, mapping, and location services to help users discover places and organize trips through a responsive interface.
I like building things
During my time in university, I attended 2+ hackathons. People from around the country would come together and build incredible things in 2-3 days. It was eye-opening to see the endless possibilities brought to life by a group of motivated and passionate individuals.
Finalist – 2025 Food Hackathon (NutriEase | Team404)
Toronto, ON
NutriEase is an AI-powered meal planning platform developed to improve dietary habits, reduce food waste, and make healthy eating accessible. Built with Daksh under Team404, we were selected as finalists at the 2025 Food Hackathon and received $10,000 in Azure credits via the Microsoft for Startups program.
Finalist – Seneca Housing Hackathon 2024
Toronto, ON
Proposed a shuttle route expansion to connect Seneca campuses with affordable housing areas underserved by public transit. Aimed to ease student housing pressure, cut commute times, and reduce carbon emissions. Focused on sustainable transit planning through collaboration with local housing authorities and data-driven analysis.
Get in Touch
Want to chat? Just shoot me a dm with a direct question on email and I'll respond whenever I can. I will ignore all soliciting.