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Oleksandr
Computer Vision Engineer, AI/ML Developer
- Age:
- 36 years
- City of residence:
- Kyiv
- Ready to work:
- Remote
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Oleksandr Dobryn
Computer Vision Engineer
Object Detection & Tracking • Model Training • Video Analytics Platforms
Ukraine (Remote) | [open contact info ](look above in the "contact info" section) | [open contact info ](look above in the "contact info" section) | Telegram: @Octav_P
PROFESSIONAL PROFILE
Computer Vision and AI developer focused on building practical video analytics and model-training platforms. Hands-on experience with dataset preparation, annotation workflows, training and evaluating object-detection models, multi-object tracking, OCR pipelines, backend services, and user-facing CV tools. Currently building BVP (Bird's-Eye Vision Platform) for aerial and small-object detection, tracking, training, evaluation, and inference. Visual Odometry, SLAM, camera calibration, ONNX/TensorRT deployment, and edge inference are active learning and development areas rather than production-level specialization.
CORE TECHNICAL EXPERTISE
Computer Vision
OpenCV, PyTorch, Ultralytics YOLO, RF-DETR, object detection, multiobject tracking, frame-quality analysis, best-frame selection, temporal voting
Model Training & Evaluation
Dataset preparation, annotation, train/validation/test splits, transfer learning, checkpoints, Precision, Recall, mAP, F1, IoU, confusion matrix, per-class analysis
Video, Tracking & OCR
RTSP/HLS/MJPEG, uploaded video, ByteTrack, BoT-SORT, OC-SORT, PaddleOCR, EasyOCR, FastPlateOCR/FastALPR, plate validation
Backend & Platform
Python, FastAPI, REST APIs, WebSocket, PostgreSQL, Redis, Celery, SQL, JSON/CSV, Next.js, React, TypeScript, Tailwind CSS
Development Environment
Linux/WSL2, Docker Compose, Git/GitHub, NVIDIA CUDA environment; ONNX Runtime, TensorRT and edge inference workflows in active development
RELEVANT EXPERIENCE
Computer Vision & AI Platform Developer | Independent Product Development | 2024 - Present
• Building BVP (Bird's-Eye Vision Platform), a modular system for aerial and small-object detection, tracking, dataset management, model training, evaluation, checkpoint comparison, model inspection, and video inference.
• Developed Vehicle Traffic Platform for vehicle detection and tracking, license-plate OCR, vehicle color/make recognition, event search, watchlists, analytics, and configurable per-camera processing.
• Designed a multi-stage CV pipeline: frame-quality filtering -> detection -> tracking -> plate detection -> best-frame selection -> OCR -> format validation -> temporal voting.
• Built model-training workflows for dataset upload, annotation, frame extraction, train/validation/test splits, training jobs, metric monitoring, validation, model registration, and checkpoint/model management.
• Working on model export, ONNX/TensorRT integration, edge inference, hardware profiling, and inference optimization as active BVP development tasks.
AI Automation & Full-Stack MVP Developer | Independent / Portfolio Projects | 2024 - Present
• Built AI applications, assistants, dashboards, bots, data-processing workflows, and API integrations using Python, FastAPI, Next.js, TypeScript, PostgreSQL/Supabase, and LLM APIs.
• Use Codex, ChatGPT, Claude, and Gemini for AI-assisted engineering while manually reviewing architecture, testing edge cases, validating generated code, and documenting implementation decisions.
Video Editor / AI Content Creator | Freelance | 2022 - 2024
• Professional background in video processing, frame quality, encoding, composition, and visual consistency before transitioning into AI and Computer Vision development.
CURRENT COMPUTER VISION DEVELOPMENT
Learning and prototyping:
• Camera calibration fundamentals, lens distortion, reprojection, feature matching, optical flow, and camera pose estimation.
• Early-stage Visual Odometry, VIO, SLAM, IMU sensor-fusion, and GPS-denied navigation concepts for UAV and mobile robotics.
• ONNX/TensorRT conversion, edge inference, inference optimization, and hardware-aware model deployment within BVP.
EDUCATION & LANGUAGES
Sumy State University - Bachelor of Computer Science | 2009 - 2013
Romny Industrial College - Computer Engineering | 2006 - 2009 Ukrainian - Native | Russian - Fluent | English - B1
PORTFOLIO
Project cases, screenshots, demos, and technical descriptions: career-profile-builder-delta.vercel.app/p/computer-vision-engineer
Oleksandr Dobryn - Computer Vision Engineer
Computer Vision Engineer
Object Detection & Tracking • Model Training • Video Analytics Platforms
Ukraine (Remote) | [
PROFESSIONAL PROFILE
Computer Vision and AI developer focused on building practical video analytics and model-training platforms. Hands-on experience with dataset preparation, annotation workflows, training and evaluating object-detection models, multi-object tracking, OCR pipelines, backend services, and user-facing CV tools. Currently building BVP (Bird's-Eye Vision Platform) for aerial and small-object detection, tracking, training, evaluation, and inference. Visual Odometry, SLAM, camera calibration, ONNX/TensorRT deployment, and edge inference are active learning and development areas rather than production-level specialization.
CORE TECHNICAL EXPERTISE
Computer Vision
OpenCV, PyTorch, Ultralytics YOLO, RF-DETR, object detection, multiobject tracking, frame-quality analysis, best-frame selection, temporal voting
Model Training & Evaluation
Dataset preparation, annotation, train/validation/test splits, transfer learning, checkpoints, Precision, Recall, mAP, F1, IoU, confusion matrix, per-class analysis
Video, Tracking & OCR
RTSP/HLS/MJPEG, uploaded video, ByteTrack, BoT-SORT, OC-SORT, PaddleOCR, EasyOCR, FastPlateOCR/FastALPR, plate validation
Backend & Platform
Python, FastAPI, REST APIs, WebSocket, PostgreSQL, Redis, Celery, SQL, JSON/CSV, Next.js, React, TypeScript, Tailwind CSS
Development Environment
Linux/WSL2, Docker Compose, Git/GitHub, NVIDIA CUDA environment; ONNX Runtime, TensorRT and edge inference workflows in active development
RELEVANT EXPERIENCE
Computer Vision & AI Platform Developer | Independent Product Development | 2024 - Present
• Building BVP (Bird's-Eye Vision Platform), a modular system for aerial and small-object detection, tracking, dataset management, model training, evaluation, checkpoint comparison, model inspection, and video inference.
• Developed Vehicle Traffic Platform for vehicle detection and tracking, license-plate OCR, vehicle color/make recognition, event search, watchlists, analytics, and configurable per-camera processing.
• Designed a multi-stage CV pipeline: frame-quality filtering -> detection -> tracking -> plate detection -> best-frame selection -> OCR -> format validation -> temporal voting.
• Built model-training workflows for dataset upload, annotation, frame extraction, train/validation/test splits, training jobs, metric monitoring, validation, model registration, and checkpoint/model management.
• Working on model export, ONNX/TensorRT integration, edge inference, hardware profiling, and inference optimization as active BVP development tasks.
AI Automation & Full-Stack MVP Developer | Independent / Portfolio Projects | 2024 - Present
• Built AI applications, assistants, dashboards, bots, data-processing workflows, and API integrations using Python, FastAPI, Next.js, TypeScript, PostgreSQL/Supabase, and LLM APIs.
• Use Codex, ChatGPT, Claude, and Gemini for AI-assisted engineering while manually reviewing architecture, testing edge cases, validating generated code, and documenting implementation decisions.
Video Editor / AI Content Creator | Freelance | 2022 - 2024
• Professional background in video processing, frame quality, encoding, composition, and visual consistency before transitioning into AI and Computer Vision development.
CURRENT COMPUTER VISION DEVELOPMENT
Learning and prototyping:
• Camera calibration fundamentals, lens distortion, reprojection, feature matching, optical flow, and camera pose estimation.
• Early-stage Visual Odometry, VIO, SLAM, IMU sensor-fusion, and GPS-denied navigation concepts for UAV and mobile robotics.
• ONNX/TensorRT conversion, edge inference, inference optimization, and hardware-aware model deployment within BVP.
EDUCATION & LANGUAGES
Sumy State University - Bachelor of Computer Science | 2009 - 2013
Romny Industrial College - Computer Engineering | 2006 - 2009 Ukrainian - Native | Russian - Fluent | English - B1
PORTFOLIO
Project cases, screenshots, demos, and technical descriptions: career-profile-builder-delta.vercel.app/p/computer-vision-engineer
Oleksandr Dobryn - Computer Vision Engineer
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The candidate's resume is posted at https://www.work.ua/resumes/19637938/