Alibek Erkabayev

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

Senior Computer Vision Engineer — CDMVision

Mar 2026 – Present · Full-time

Designing and optimizing real-time computer vision systems for AR-based industrial inspection and dimensional validation.
Founder & Computer Vision Engineer — Bekai Vision

Jul 2018 – Present · Self-employed, remote

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.
Web-AR.Studio

Nov 2021 – Feb 2025 · Remote
- 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.
Machine Learning Engineer — UZAKTA Bilişim ve Tasarım Ltd. Şti.

Feb 2019 – Oct 2021 · Istanbul

Built a Flask-based management interface and high-speed socket-based communication between NVIDIA Jetson edge devices and client systems.
Researching Trainee, ROBOTIC Lab — Yıldız Technical University

Jun 2017 – Sep 2017

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

ai-interview-judge

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.

Python · C++
VIO-SLAM-Assignment

Visual-inertial odometry implementation and evaluation using the Basalt framework on EuRoC MAV datasets.

Python
NanoRec-CPP
in development

A 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.

C++
ImageCleaning

Combined Pix2Pix conditional GAN and TecoGAN super-resolution networks.

Jupyter Notebook
Smart-Counter

People counting system for edge devices, using C++, OpenCV, ONNX Runtime and YOLOv8, with a real-time analytics dashboard.

C++ · Python

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