• Designed and developed a full-stack web application from scratch for data collection targeting software developers in North America and Europe, ensuring adherence to Government of Canada's PIPEDA law for data privacy

  • Built a React/Redux based Single Page Application (SPA) with protected routes (JWT authentication)
  • Deployed a Node.js/Express.js/MySQL API server using Docker and PM2, ensuring 100% server uptime
  • Achieved 10x increase in user traffic and collected data by integrating SurveyMonkey and Prolific APIs
  • Screened and recruited 56 professional open-source developers and managed their compensation
  • Technologies: MySQL, Docker, Node.js, PM2, React.js, Python, Express.js, TypeORM, Axios, JWT

• Led a mixed-method study on human-bot interactions on GitHub, uncovering new insights into perceptions of bot autonomy and personality. Published one ICSE paper and successfully defended thesis

  • Used machine learning and statistical methods for quantitative data analysis
  • Collaborated with six researchers across three universities in Canada, Netherlands, and Denmark on a weekly basis
  • Twice awarded as the "Top-Performing Graduate Student", receiving a total of 2,500 CAD in prizes

• CSC370: Relational Database Systems (MySQL)
  • Instructed in lab sessions
  • Compiled teaching materials and conducted regular office hours
  • Evaluated assignments, supervised exams, and implemented Python-based auto-graders for the final project

• CSC578B: Data Science for Software Engineering
  • Graded assignments, exams, and final course projects
  • Contributed to improving the Department of Reuse format checker

• Developed supply-chain solutions using Genetic Algorithm for logistics and scheduling of cargo ships in real-world scenarios with dynamic constraints. Optimized the application to run 60x faster. Wrote more than 80 unit tests

  • Employed data-driven, cache-aware, and multi-threaded design
  • Wrote an AMPL language parser for testing solutions and benchmarking
  • Built a real-time telemetry system to monitor the application's runtime via a webpage
  • Technologies: C++17, CMake, GTest, GDB, STL, Perf, SSH, Ubuntu, Node.js, d3.js, Socket.IO, HTML

• Developed highly configurable Computer Vision and Image processing pipelines using Python for agricultural research projects and automating tasks previously carried out by humans.

  • Trained deep CNNs to classify rice variety with 87.1% and detect corrupt seeds with 97.6% accuracy
  • Improved classification speed by 120x and data annotation throughput by 400x compared to human baseline
  • Used OpenCV to assemble a labeled dataset of more than 1 million rice seed images with metadata
  • Developed a web application for data annotation and verification using FastAPI and React.js
  • Technologies: Python, OpenCV, TensorFlow, Keras, FastAPI, React.js, Ubuntu

Built applications usings React.js, Node.js, React Native, Redux, Flutter, and MySQL for clients and projects.