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Syed Ebad Hyder

Syed Ebad Hyder

Looking for a job

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Toronto45 CAD/hourMember since July 1, 2026
Looking for a jobPythonC DeveloperJavascriptC#OpenCVYOLOMediaPipeCNNLLM/LangChainQt (C++)FastAPIDjangoMulti-Threading & ConcurrencyClient-Server ArchitectureReact.jsReact NativeDockerLinux / UNIXIndustrial Communication (libmodbus)
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Computer Vision EngineerSoftware DeveloperBackend Engineer

About

I am a Software Engineer and Computer Engineering Master’s student specializing in Computer Vision, real-time backend systems, and web-based visual analytics platforms. I focus on bridging complex low-level engineering with scalable full-stack integration. Whether you need optimized image processing pipelines or robust REST APIs, I deliver production-ready code on a flexible, part-time contract basis.

Experience

Computer Vision Engineer | Aremak Bilişim Teknolojileri

Feb 2025 – Present
  • Industrial Deflectometry: Engineered a 4-camera + programmable light inspection system for highly reflective surfaces using C++/Qt, implementing thread-safe synchronization via mutexes to capture micron-level defects.

  • Real-Time Vision Pipelines: Developed a touchscreen-integrated fabric defect detection system using OpenCV featuring user-driven dynamic ROI selection.

  • Architecture Modernization: Refactored a legacy monolithic application into a modern client-server architecture with REST APIs, securing remote access via Cloudflare tunneling.

  • Industrial Automation: Integrated libmodbus protocols for seamless communication between vision units and PLCs.

  • Internal AI Tools: Built a secure FastAPI and LangChain RAG Slack bot utilizing Gemini and Chroma DB for low-latency internal documentation queries.

Graduate Researcher & TA | i-Vis Research Lab

Sept 2025 – Present

  • Graph Visualization Systems: Core developer for Newt Editor, an advanced web-based visual analytics platform and network editor for complex systems biology diagrams.

Freelance Vision Systems Developer | Contract

Remote

  • Geometric Pose Estimation: Built an end-to-end vision system utilizing MediaPipe for 5-pose classification based on torso normal vectors and a custom-trained CNN for real-time document detection.

  • Image Segmentation: Applied advanced OpenCV background subtraction to generate clean, real-time user segmentation and data visualizations.

Full-Stack Developer Intern | Fenumi

Aug 2024 – Jan 2025

  • API & Database Optimization: Maintained a PHP web application while co-developing its React Native mobile counterpart, optimizing SQL databases and testing CRUD APIs via Postman.

Education

Bilkent University

Master of Science in Computer Engineering | Sept 2025 – Present
  • Academic Standing: Achieved a CGPA of 3.67/4.0

  • Focus: Computer Vision, Graph Visualization Systems, and Visual Analytics Platforms.

  • Role: Teaching Assistant and Researcher at the i-Vis Lab.

Middle East Technical University (ODTÜ)

Bachelor of Science in Computer Engineering | Sept 2021 – Jul 2025

  • Honors: Graduated with a CGPA of 3.46/4.0.

  • Key Achievements: 2nd Place in the KODTU6 Algorithm Competition.

Skills

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