Massah Arafeh
Experience
WHERE I HAVE BEEN
June 2026 — Present
SA Group
Software Engineer Intern
- 01Building a custom web-based ERP system from scratch for a pharma company, independently owning the full stack
- 02Designing core modules for lot/batch traceability, electronic audit trails, expiry enforcement, and CAPA workflows
November 2024 — Present
University of Toronto Formula Racing Team
Driverless and Vehcile Dynamics Recruit
- 01Researching a knowledge distillation framework to compress custom YOLO model, targeting a 1.3x precision increase for NVIDIA Jetson deployment, evaluating response-based and feature-based strategies across the FPN neck.
- 02Engineered a simulated sensor in C# and built a ROS publisher node to stream sensor data across the driverless stack, following existing publisher architecture within a Docker + Unity environment.
- 03Built a PDF report pipeline using Jinja2 + Typst with sub-process error handling and lifecycle management, and a matplotlib visualization system producing 10+ plot types for vehicle dynamics study analysis.
- 04Designed KPI aggregation structures, extracting preprocessing configs, timestamps, and multi-variant outputs into unified data models, supporting dynamic metric selection by study type.
October 2025 — April 2026
BuildingAssets.ai
Software Engineer Intern
- 01Developed a multi-agent backend pipeline that processes machine label images and returns verified manufacturer documentation links in <30 seconds, eliminating hours of tedious manual web search for field auditors.
- 02Led OCR proof-of-concept using PaddleOCR; benchmarked accuracy and reported actionable recommendations
- 03Designed modular service architecture coordinating Gemini (OCR), Claude (reasoning), and Perplexity (search) accelerating processing speed by 1.6x
May 2025 - August 2025
Philer AI
Software Engineer Intern
- 01Led OCR pipeline development with Gemini 1.5, automating legal form extraction and cutting manual intake from 3–5 minutes to under 30 seconds, achieving F1 0.76 (Precision 79%, Recall 73%).
- 02Automated end-to-end data transfer from the codebase to Airtable via structured output integration and schema validation, eliminating manual handoff steps and reducing error-prone data entry across a team of 15+ engineers.
Projects
Selected Work
Get in touch :)
Follow along or reach out directly at
massah.arafeh@mail.utoronto.ca
massah.arafeh@mail.utoronto.ca