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I'm Wissam.

Software Engineer

Google

Full-Stack Developer (React, Python)

Hercules Dynamics

• Redesigned the video processing pipeline with modular task orchestration and configurations, enabling seamless addition of new tasks, sensors, and models, accelerating development by 3×.
• Developed a Next.js frontend integrated with a FastAPI backend, enabling real-time WebSocket communication and live video updates, reducing processing latency by 20%.
• Modularized UI components with Shadcn and Tailwind CSS, creating dynamic dropdowns and sliders that improved configurability and cut feature development time by over 35%.
• Designed RESTful APIs to manage sensors, pipelines, and configurations, enhancing operational efficiency by 30%.
• Automated pipeline initialization and system startup, reducing setup time by 40% and ensuring consistent deployments.

Full-Stack Developer (React, NestJS)

Hatch Labs

• Developed the company’s landing page, boosting online presence and increasing visitor engagement by 30%.
• Integrated Redux to optimize bank data management with Flinks, improving state management and performance.
• Updated the backend database schema to create a comprehensive loan application schema, ensuring robust data integrity.
• Generated Prisma schema and GraphQL type definition files on the frontend to simplify integration and streamline API communication.

Full-Stack Developer (Part Time)

Kaiden

• Migrated Kaiden’s UI to Next.js 14 (App Router) and Tailwind CSS, reducing development time by over 50%.
• Developed RESTful APIs for LLM-based quiz generation, enhancing backend readability and extensibility.
• Led project workflows by organizing Jira tasks, providing guidance on Next.js and Tailwind CSS, and ensuring seamless AIOHTTP backend integration.
• Set up Docker for microservices, enabling independent running and streamlined deployments.
• Designed and optimized key React UI components, including a navigation sidebar and dynamic content tools, to enhance user experience.

Software Developer Intern

Zebra Technologies / Matrox

• Automated Python-based AI localizer integration, reducing setup time 5✕ and improving barcode/QR code recognition accuracy.
• Optimized C++ image processing pipeline by incorporating AI-driven code bounding, boosting localization efficiency.
• Enhanced testing with Gaussian pyramids and visualization tools, ensuring AI robustness across scales and image variations.
• Developed a user-friendly database system for querying code types, eliminating the need for SQL expertise.

Machine Learning Intern (Python)

spiderSilk

• Built a scalable image similarity search system using Facebook’s FAISS, achieving **100✕ faster logo identification** in billion-scale databases.
• Employed PCA, IVF, and PQ indexing techniques to enhance search efficiency, **enabling seamless large-scale dataset processing**.
• Improved **mean average precision (mAP) by 22%** by switching image representation from RGB to HSV color space.
• Designed **evaluation metrics (recall & mAP 0.94)** to assess similarity matcher performance, ensuring accuracy and robustness.

Research Assistant

McGill University

• Spearheaded the design and development of the meta-reasoner layer for a spatially and temporally aware robot, enabling advanced reasoning capabilities.
• Leveraged innovative libraries like JavaFX to create a simulated environment for the robot, facilitating comprehensive testing of the meta-reasoner layer in the absence of physical access to the robot.

Robotics: Autonomous Underwater Vehicle Software-lead

McGill Robotics Team

• Led a team of 6 developers in the redesign and reconstruction of the control system structure, significantly enhancing the robot's task management capabilities.
• Devised a strategic plan to assemble a new robot, effectively attracting highly skilled members to join the team and contribute to its successful development.