Professional Experience

A comprehensive overview of my journey in software engineering, machine learning, and product development across innovative startups and established companies.

Machine Learning and Software Engineering Co-op

Martin (YC '23)

September 2025 – Present

San Francisco, USA (Remote)

Officially Recognized for Lens Project

Led development of Lens by Vael, a deep research tool that was officially reviewed and explored by Martin execs, highlighting its potential for enterprise knowledge workflows.

Implemented core functionality with a FastAPI backend and Next.js frontend, integrating retrieval pipelines, authentication, and streaming responses, alongside an ML summarization module to surface key insights.

Incoming Machine Learning Engineer + Core Member

Wat.ai

September 2025 – Present

Waterloo, Ontario, Canada

Incorparated into the See-DR Data Modeling Division

🛠️ More to come once officially joined!

Software and Product Management Co-op

Delta Air Lines

May 2025 – August 2025

Atlanta, Georgia, USA

Top 250 of 80,000 Applicants

Automated a large portion of repetitive reporting workflows with custom Python scripts, cutting down hours of manual data prep and giving GMs, Managers, and PMs near real-time visibility into safety metrics.

Designed and deployed a retrieval pipeline that repurposed an internal system not originally built for our team, enabling on-demand access to inspection and training records that were previously siloed.

Software Engineer Intern

TEDx University of Waterloo

January 2025 – May 2025

Waterloo, Ontario, Canada

Top 40% of Applicants

Increased developer throughput by 2× by creating a CLI tool and automating build/test workflows in GitHub.

Set up automated preview deploys on Netlify, making it easier for the team to catch front-end issues early and speed up code reviews.

Backend Software Engineering Intern

Loops Inc.

May 2024 – August 2024

Alexandria, Virginia, USA

$14 million USD backed + YC S'24 Interview

Enhanced app performance by 20% or (550 milliseconds) by refactoring both the frontend and backend to optimize state management and rendering efficiency using Google Cloud Platform and Elastic Search.

Reduced page load times by 25% and hosting costs by 15% by implementing a Flask-based caching system, streamlining delivery of 500+ article posts.

Technical Skills

A comprehensive (yet concise) overview of my technical skills.

Languages

Python, Java, Ruby, TypeScript/JavaScript (ES6+), C, C++, Swift, Objective–C

Frameworks

Ruby on Rails, React, Node.js/Express, FastAPI, Flask, Django, Flutter

Infrastructure

Power BI, Tableau, SQL, MongoDB, Redis, Docker, Kubernetes (GKE), AWS

DevOps & Web

OAuth, JWT, OWASP, CI/CD (GitHub Actions, Jenkins), logging & alerts

HTML5, CSS3, REST and GraphQL APIs, Tailwind CSS, Bootstrap

Competition Excellence

Proven track record of innovation and excellence in competitive programming environments

🏆

Hack the North

API Winner

Top 1% of 869+ participants

🥇

Pyra Hacks

3× Winner

100+ participants

🚀

Space City Hacks

Winner

162+ teams