Imran Yafith

ML Developer | Oakville Centre for Vision

Computer Science | Sheridan College

GitHubResume

Projects

MERN Bookstore

Dec 2023

GitHub Link

  • Full-Stack Bookstore app created using the M(ongoDB) E(xpress) R(eact) N(ode) tech stack.
  • Created frontend using Vite and TypeScript. TailwindCSS was used for styling.
  • Users can create, read, and delete books.
  • Uses MongoDB database to store the books data.

Homebase Automation

Aug 2023

GitHub Link

  • Python App that scrapes shift data from my Homebase account and adds it to my Google Calendar.
  • Uses Playwright to run a headless browser and logs into my Homebase account.
  • Scrapes shift data using BeautifulSoup4 to parse the HTML in Python.
  • Adds shifts as events to my Google Calendar by utilizing the Google Developer API.

Personal Portfolio Website

Nov 2023

GitHub Link

  • Personal portfolio website to showcase my projects and experience.
  • Created using NextJS and TypeScript.
  • Used TailwindCSS for styling and responsiveness.

Experience

Machine Learning Developer

May 2024 - Present

Oakville Centre for Vision

  • Collaborate on the 'Difference Goggles' project, focusing on developing low-cost eye tracking wearables for sports and rehabilitation applications.
  • Engineered machine learning algorithms and conducted image/video processing using Python to improve eye tracking accuracy.
  • Actively participated in Agile project management practices, enhancing team collaboration and project deliverables while adhering to the Software Development Life Cycle (SDLC).

Research Assistant

Oct 2023 - Apr 2024

Naryant (Formerly Inovex)

  • Improved Urban Planning using Machine Learning, Traffic Simulation and Data Visualization.
  • Utilized Simulation of Urban Mobility (SUMO) and OpenStreetMap (OSM) to model and analyze traffic patterns across 10+ urban zones, enhancing data accuracy for urban development projects.
  • Synthesized a comprehensive dataset predicting traffic demand for the city of Oakville, utilizing simulation tools (SUMO, OSM).
  • Collaborated with a team of 4 researchers to assimilate simulation data, bolstering collective strategic planning and decision-making.

Research Assistant

Dec 2022 - Aug 2023

Karmy Pain Clinic

  • Engineered an AI-driven pain diagnostic system leveraging Python and MATLAB, improving patient diagnosis accuracy and treatment efficacy, reducing diagnosis time.
  • Increased data processing accuracy by 30% with improved data analysis techniques.
  • Contributed to a 5 person team's iterative development and optimization of an AI model, achieving significant accuracy gains based on patient feedback and trials.