About Me
Computing Science graduate who builds practical software solutions across the full stack, from data pipelines to user-facing applications.
Work Experience
| Company/Role | Description | Duration |
|---|---|---|
| Freelance/Full-Stack Web Developer | ● Delivered 7+ responsive full-stack e-commerce websites, increasing client conversion rates by 85%. ● Developed RESTful APIs for smooth frontend-backend communication in a full-stack MERN application. ● Reduced page load time by 95% through optimized React components and Tailwind CSS implementation. |
04/2025 - present |
| Easel Software/Software Developer |
● Conducted stakeholder interviews (100+ users) and created comprehensive PRD, defining 30+ features. ● Built a cross-platform mobile app in React Native, delivering unified experience across iOS and Android. ● Created comprehensive Postman test suite with 55+ automated tests for API validation and error handling. |
06/2025 - present |
| Quant Valuations/Data Scientist Intern |
● Automated business valuation process with OpenAI API, reducing analysis time from 9 hours to 2 minutes. ● Employed BeautifulSoup to efficiently scrape and process URL web data, thereby enhancing analysis. ● Achieved 100% code coverage through comprehensive pytest unit testing across 9 critical modules. |
01/2025 - 04/2025 |
Koi Kapers
A 2D game with an arcade-style design created using Java. Taking inspiration from the SFU koi pond, this imaginative game was voted among the top three most innovative games in SFU CMPT 276.
Route Tracker
A web application built to track and analyze user routes. It allows users to upload GPS data, view interactive maps with detailed polyline and marker visualizations, and gain insights into distance, duration, and elevation.
City Recommender
CitySelector-ML uses machine learning to recommend the best city for development based on criteria like population and elevation. The model analyzes city attributes to provide data-driven insights for optimal site selection.
Covid-19 Predictor
In this data mining project, the objective was to explore several widely used machine learning models, optimize various hyperparameters, and utilize the best-tuned models to predict COVID-19 case outcomes.
Papers
Finite-Precision Effects on Iterative Square Root and Squaring in MATLAB
Comparative Analysis of MATLAB's fzero and Secant Method for 2D Contour Root-Finding
Analyzing Equilibrium Points in Population Models Using Newton's Method and Fixed-Point Iteration
