How I build and ship in real teams.
Systems Development Engineer Intern
Jan 2026 – Apr 2026
Built retrieval-focused data workflows that made internal document search faster and more dependable. Built Python ETL for multilingual transcripts to improve data quality before indexing. Implemented chunking and hybrid Elasticsearch retrieval to improve answer relevance in production.
Frontend & UI/UX Intern
May 2025 – Aug 2025
Improved product usability by around 30% by shipping accessible and more consistent interfaces across web and mobile. Ran user interviews and translated findings into high-fidelity Figma flows for core journeys. Delivered responsive React/Tailwind features with WCAG-aligned updates in faster product cycles.
Selected builds from idea to implementation.
Developed a secure Django-based file sharing application where users can upload, manage, and distribute files through time-limited links. Focused on authentication, access control, and straightforward sharing workflows to ensure teams can collaborate securely.
Built a secure daily-post platform with authenticated CRUD APIs for predictable state handling. Implemented JWT-based route protection, modular Express endpoints, and clean data flow so content operations remain reliable and maintainable as features evolve.
Built a full-stack parking locator for Toronto drivers that combines map-first search, nearby lot discovery, and route-aware navigation in one flow. Integrated Google Maps for location context and built a reliable backend layer to support stable requests as traffic and features scale.
A straightforward full-stack Todo application that lets users add, view, and delete notes. The backend runs on Node.js with an Express server, uses Zod for robust data validation, and stores data in a cloud-hosted MongoDB database via Mongoose, serving a modern React front-end.
A lightweight C++ logging library designed for embedded systems that streams log entries—including severity, file, function, and line information—to a central UDP server. The solution scales from a single device to multiple machines, featuring runtime log-level filtering.
A command-based pathfinding game that utilizes data structures and algorithms to compute optimal paths and suggest new coordinates for navigating a maze towards the exit. Demonstrates strong understanding of foundational computer science principles through an interactive simulation.
An AI computer vision project fine-tuned to classify various food images efficiently. Evaluated model precision using confusion matrices and tracked training history to optimize convergence and improve prediction accuracy on a custom dataset.
An offline, AI-driven solution combining visual analysis from an ESP32-S3 camera with temperature and smoke sensor data to detect fires in urban settings. A lightweight YOLOv8 model hosted on a Flask server processes images and cross-validates with hardware sensors to minimize false alarms.
A collection of robust Python scripts that retrieve comprehensive YouTube channel, playlist, and video metadata via the YouTube V3 API. The pipeline processes this data and synchronizes the results with Google Sheets, architected to feed downstream GenAI and research applications.
A web application that takes a YouTube video URL, fetches its transcript, and uses an AI LLM to generate a concise, markdown-formatted summary. Includes advanced UI features like playable video embedding, clickable UI elements for timestamps, and dynamic summary exports.
An intelligent scheduling application developed during the Google AI hackathon to help users actively 'pilot' their week. It leverages modern web technologies and AI integrations to optimize user routines and intuitively manage weekly tasks.
Built a research-oriented captioning system that combines computer-vision feature extraction with sequence-based language modeling to generate richer image descriptions. Explored multi-label prediction ideas to improve object coverage, semantic detail, and caption quality.
Built an interactive web app that visualizes meteor-impact scenarios using real NASA and USGS datasets. Developed a React and TypeScript interface with a 3D globe so users can inspect impact zones, compare simulated outcomes, and understand potential response strategies.
Academic foundation and core coursework.
Bachelor of Engineering, Software Engineering
January 2023 - September 2026
North York, ON
Coursework Highlights
Tools and systems I use day to day.
JavaScript / TypeScript
Python
C++
SQL
React
Next.jsTypeScript
Node.js
Express.js
FastAPI
Django
REST APIs
Tailwind CSS
HTML5 / CSS3
PostgreSQL
MongoDBMySQL
Elasticsearch
Docker
AWS
Azure
Firebase
RAG pipelines (indexing, retrieval, evaluation)LangChain
FAISS
Pinecone
Transformers (Hugging Face)
PyTorch
scikit-learn
NumPy
Pandas
Git / GitHub
GitHub Actions
CI/CD
VS Code
Postman
Linux
JiraHackathons and sprint-style product work.
Frontend Developer, Team Hot Cheetos
Project: AstrOracle
Built a working 3D impact simulation prototype in a deadline-driven team sprint.
Full-stack team member
Delivered a working full-stack solution under a 24-hour challenge.
Systems Development Engineer Intern
Jan 2026 – Apr 2026
Built retrieval-focused data workflows that made internal document search faster and more dependable. Built Python ETL for multilingual transcripts to improve data quality before indexing. Implemented chunking and hybrid Elasticsearch retrieval to improve answer relevance in production.
Frontend & UI/UX Intern
May 2025 – Aug 2025
Improved product usability by around 30% by shipping accessible and more consistent interfaces across web and mobile. Ran user interviews and translated findings into high-fidelity Figma flows for core journeys. Delivered responsive React/Tailwind features with WCAG-aligned updates in faster product cycles.