Takieddine Fellag
@takieddinefellag
Backend & Systems Engineer building scalable AR/VR and computer-vision pipelines for real-world 3D.
What I'm looking for
I’m a Backend & Systems Engineer with a Master’s in Computer Science, specializing in scalable infrastructure, computer vision pipelines, and 3D data processing. I build Python architectures for autonomous systems and UAVs, handling complex spatial data including LiDAR, RGB-D, and pointclouds—then push the performance and reliability needed to run at scale.
In my recent roles, I designed and delivered scalable VR viewer platforms with robust API boundaries between frontend 3D tools and autonomous assistants, and I optimized large-scale 3D rendering using WebGL profiling and memory-efficiency improvements. I also owned end-to-end rendering workflows, integrating C++ MPEG encoders for continuous 360° VR video streams, and engineered AWS microservices for UAV fleet management with RTMP and MQTT streaming. I’m driven by clean system design, real-time streaming reliability, and algorithmic optimization for processing real-world 3D environments.
Experience
Work history, roles, and key accomplishments
Software Engineering Intern
Technology Innovation Institute
May 2023 - Jan 2024 (8 months)
Developed a high-performance WebVR player streaming 30fps point clouds, optimizing rendering with Google Draco compression. Built AWS microservices for UAV fleet management and engineered an RGB-D reality capture pipeline for live browser rendering.
Freelance Software Engineer
Nexumsoft
Jan 2021 - Mar 2021 (2 months)
Built responsive React frontend components integrated with service-oriented backend architectures. Implemented Git-based CI/CD pipelines and deployed scalable Python microservices on AWS (EKS, API Gateway), improving platform observability.
Education
Degrees, certifications, and relevant coursework
ESI - Ecole Nationale Supérieure d'Informatique
Master of Science, Computer Science
2018 - 2023
Earned an MSc in Computer Science (Computer Systems). Coursework covered machine learning, networks, distributed computing, statistical theory, computer architecture, electronics, and software engineering.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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