> EXPERIENCE.LOG

Software Engineer Intern

Voyzi Corp.

May 2025 – Aug 2025
Miami, Florida

Reduced backend API response time to consistently under 100ms by optimizing PostGIS spatial queries and refining Prisma ORM logic, ensuring smoother live tracking for riders and drivers. Implemented secure authentication and payment workflows using Firebase Auth (JWT), Stripe Connect, and an AWS backend, enabling multi-role session handling and supporting 60+ daily ride operations. Developed layered security features, including honeypots, rate limiting, and robust input validation, strengthening the backend against early-stage threats such as XSS attacks, endpoint abuse, and malicious requests.

PostGISPrismaFirebase AuthStripe ConnectAWSJWTXSS Mitigation

Software Engineer Intern

Glance

Jan 2025 – Apr 2025
Waterloo, Ontario

Developed a facial-feature extraction ML pipeline using PyTorch and ONNX, achieving >85% accuracy in recommending eyewear styles matched to individual user facial structures and improving personalization outcomes. Built and deployed a full-stack web application with FastAPI, React, and MongoDB, enabling fast image uploads, smooth API calls, and instant personalized style recommendations that boosted user engagement metrics. Led product validation efforts by conducting 75+ structured user interviews and in-depth competitor research, resulting in a 2× increase in user retention through iterative UX design cycles and continuous model refinement.

PyTorchONNXFastAPIReactMongoDB

Software Engineer Intern

Wilfrid Laurier University

Sep 2024 – Dec 2024
Waterloo, Ontario

Designed and implemented a medical image segmentation pipeline using PyTorch and MONAI, reducing model training time by nearly 80% through optimized GPU orchestration and distributed compute on Voltage Park cloud infrastructure. Automated model evaluation and validation workflows with Apache Airflow and TensorBoard, improving experimental reproducibility, scaling the pipeline, and accelerating research iteration cycles in clinical ML studies. Collaborated with clinical researchers and technical teams to interpret model results and adapt training approaches, directly enhancing segmentation accuracy, robustness, and overall clinical diagnostic relevance.

PyTorchMONAIApache AirflowTensorBoardVoltage Park
$ career --summary
Software Engineer with experience in ride-sharing backends (Voyzi), ML-powered products (Glance), and clinical ML pipelines (WLU). Focus: full-stack, ML/security, and scalable systems.
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