Alibek Erkabayev
Senior Computer Vision Engineer · AR · 3D Vision · Real-Time Vision Systems · Edge AI
Istanbul, Türkiye · open to remote
About
Computer vision engineer with 6+ years of experience building real-time vision systems for industrial inspection, robotics, AR and edge AI — from research prototype to production on cloud and edge hardware. Expertise spans 2D/3D computer vision, object detection, tracking, visual localization and performance optimization on resource-constrained devices.
Experience
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Senior Computer Vision Engineer — CDMVision
Designing and optimizing real-time computer vision systems for AR-based industrial inspection and dimensional validation.
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Founder & Computer Vision Engineer — Bekai Vision
Independent CV & robotics studio for freelance projects between full-time roles.
- Optimized vision models for cloud and edge via quantization and TensorRT, achieving a 60% reduction in system latency.
- Automated scalable ETL and data-collection pipelines in Python, cutting dataset preparation from days to hours.
- Delivered technical consulting and backend architecture for AI-driven applications for global clients.
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Web-AR.Studio
- Team Lead – Computer Vision Department: Led a cross-functional engineering team delivering production-ready AR experiences.
- Computer Vision Engineer: Engineered a real-time GPU-accelerated image pipeline in C++ and WebAssembly for high-precision positioning and mapping in web environments.
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Machine Learning Engineer — UZAKTA Bilişim ve Tasarım Ltd. Şti.
Built a Flask-based management interface and high-speed socket-based communication between NVIDIA Jetson edge devices and client systems.
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Researching Trainee, ROBOTIC Lab — Yıldız Technical University
Worked with FPGA platforms to design and test custom digital logic circuits.
Education
- MS, Computer Science — Konya Teknik Üniversitesi
- BS, Computer Science — Yıldız Technical University
Projects
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High-performance automated interview evaluation system. Hybrid architecture using C++ (OpenCV) for real-time slide detection and Python (FastAPI/LLM) for multimodal reasoning and grading.
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Visual-inertial odometry implementation and evaluation using the Basalt framework on EuRoC MAV datasets.
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NanoRec-CPP
in developmentA lightweight, cross-platform screen recorder with local AI summarization. Built from scratch using C++20, OpenGL (ImGui), FFmpeg piping, and Whisper.cpp. Optimized for low-end hardware.
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Combined Pix2Pix conditional GAN and TecoGAN super-resolution networks.
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People counting system for edge devices, using C++, OpenCV, ONNX Runtime and YOLOv8, with a real-time analytics dashboard.
Skills
- Perception
- object detection, segmentation, tracking, pose estimation, visual localization
- 3D vision
- depth, SLAM / VIO, feature matching
- Deployment
- TensorRT, ONNX, quantization, NVIDIA Jetson, real-time GPU pipelines
- AR & web
- C++ → WebAssembly, WebGL / OpenGL ES
- Languages & tools
- Python, C++, JavaScript, PyTorch, TensorFlow, OpenCV, ROS, Docker, FastAPI, Git