Hire the Best Computer Vision Engineers
in Ukraine

I hold an M.S. in Computer Science from Karazin National University, with a strong foundation in mathematical analysis and linear algebra, which I apply effectively to solve complex challenges in Machine Learning and Computer Vision. With 6 years of extensive commercial experience, I am an AI Engineer with a proven track record of leading development efforts and contributing to all stages of the product lifecycle, aligning technical advancements with business objectives. My expertise covers all major areas of Computer Vision, including image classification, object detection and tracking, image segmentation, and pose estimation. I have delivered impactful, end-to-end solutions in various fields, such as: - Video-driven Sports Game Action Analysis - Satellite Image Processing - AI-powered Smart Parking Systems - Real-time Video Surveillance Systems I specialize in developing custom neural network architectures for Computer Vision applications, leveraging frameworks like TensorFlow, Keras, and PyTorch, as well as tools like OpenCV, MoviePy, and FFmpeg for efficient image and video processing. My programming expertise spans Python and C++, and I have experience building CV-powered web applications using JavaScript. I have successfully contributed to projects in areas such as Sports Analytics, Parking Surveillance Systems, Satellite Image Processing, and Manufacturing & Analytics for the Beauty and Healthcare industries. Proficient in image classification, object detection, action recognition, and more, I leverage advanced neural networks to deliver effective solutions. In addition to my technical skills, I possess a strong foundation in Discrete Mathematics, Statistics, and Differential Equations, with specialized knowledge in digital signal processing, time-series analysis, and unsupervised learning. While working effectively in team environments, I also understand the importance of business logic and strategic goals. I’ve helped businesses and enterprises achieve their goals, drive financial growth, and automate processes to generate significant gains.

🏅 Expert-Vetted Top 1% on Upwork 🏆 Top 10 Machine Learning Agency on Upwork 🎖 7+ Years Delivering Production AI Systems Struggling to turn video or image data into reliable production AI? With 7+ years as a Computer Vision Engineer, I’ve delivered 20+ production systems and helped cut manual inspection time by 35% for sports, industrial, satellite, and healthcare teams. Let’s build detection, tracking, segmentation, or edge AI that works in the real world. 🎯 HOW I CAN HELP YOU COMPUTER VISION SYSTEMS Turn visual data into accurate, production-ready outputs that improve decisions, automate manual review, and scale across real-world conditions. I build systems for detection, tracking, segmentation, pose estimation, and video analysis that stay robust under occlusion, low light, and multi-camera setups. SPORTS ANALYTICS AI Convert broadcast or field video into player tracking, ball trajectories, and performance metrics that help teams measure more and react faster. My sports systems have covered football, tennis, pickleball, and 3D ball tracking with calibration and real-time inference optimized for usable match insights. INDUSTRIAL INSPECTION AUTOMATION Reduce defects, speed up quality control, and catch issues before they hit production. I have delivered defect detection and segmentation systems for manufacturing use cases, including fabric defects, roof inspection, and image stitching pipelines for precision analysis. SATELLITE AND AERIAL IMAGE ANALYSIS Extract actionable intelligence from drone and satellite imagery to support infrastructure monitoring, mapping, and large-area inspection. I use YOLO-based detection and segmentation pipelines that handle sparse labels, variable resolution, and geospatial complexity. REAL-TIME EDGE AI DEPLOYMENT Get low-latency AI running on NVIDIA Jetson, cloud APIs, or embedded devices without sacrificing accuracy. I optimize models with TensorRT, ONNX, Docker, and C++ when needed, helping clients meet strict speed and hardware constraints in production. 🤝 𝗚𝗘𝗧 𝗜𝗡 𝗧𝗢𝗨𝗖𝗛 Message me on Upwork if you need a Computer Vision Engineer or Machine Learning Engineer to turn your idea into a production-ready AI system. I can help with a free consultation, scope the best approach, and move fast on your next build. I typically respond within 4 hours and can prioritize urgent projects. 𝗛𝗼𝘄 𝗜 𝗪𝗼𝗿𝗸 I build computer vision systems with OpenCV and PyTorch, productionize machine learning models in TensorFlow, and deploy Python pipelines for real-time video analysis and image segmentation.

Design and deploy AI pipelines that transform image, video, and audio data into reliable real-world applications, from computer vision analytics and 3D perception to audio (speech, music, sound) analysis and generative AI systems. My work focuses on production AI systems, not research prototypes. I help companies move from early feasibility studies and PoC development to scalable deployments running in real environments. Typical projects include: • computer vision pipelines for detection, tracking, and segmentation • real-time video analytics and edge AI deployments • 3D vision and spatial perception systems • speech processing and audio AI solutions • generative AI pipelines for image, video, and audio Computer Vision Systems Design and development of advanced computer vision pipelines for image and video analysis. Typical solutions include: • object detection and multi-object tracking • semantic and instance segmentation • pose estimation and motion analysis • OCR and document understanding • visual search and recognition systems These systems are used in industries such as manufacturing, sports analytics, retail, healthcare, and security. 3D Vision & Spatial AI Development of AI systems that understand spatial structure and depth. Experience includes: • structure-from-motion (SfM) • photogrammetry pipelines • depth estimation models • NeRF and neural rendering • point cloud processing and 3D reconstruction Applications include robotics, AR/VR, construction analytics, and digital twins. Edge AI & On-Device ML I specialize in deploying ML models on mobile and embedded devices where latency, memory, and power constraints are critical. Typical optimization techniques include: • model quantization and pruning • architecture optimization • real-time inference pipelines • deployment on mobile and embedded hardware Technologies include: TensorRT, TensorFlow Lite, CoreML, ONNX Runtime. Many deployed systems operate with 50–100 ms inference latency depending on hardware. Generative AI for Vision & Video Development of generative pipelines for media processing and synthetic data generation. Typical solutions include: • image and video generation pipelines • diffusion-based editing and enhancement • synthetic dataset generation for model training These tools help accelerate AI training and improve model robustness. Audio & Speech AI Development of AI systems for speech processing, audio analysis, and voice technologies. Examples include: • phoneme segmentation and pronunciation analysis • speech recognition pipelines • voice feature extraction and audio analytics • generative audio and music models These systems are used in: • language learning platforms • speech therapy tools • voice biometrics systems • music AI applications Technical Stack Frameworks & Models PyTorch, TensorFlow, OpenCV, Detectron2, MediaPipe, YOLO, DINO, SAM, CLIP Deployment TensorRT, TensorFlow Lite, CoreML, Docker, ONNX Runtime, FastAPI Programming Python, C, C++ 3D Vision NeRF, SLAM, Dust3r, point clouds Leadership & R&D I lead an R&D-focused AI team at It-Jim, an AI consulting company with 30+ engineers and 10+ PhDs specializing in: • Computer Vision • Generative AI • Audio & Speech AI • Edge AI systems We help companies solve technically challenging AI problems and build reliable production systems. If you are looking for experienced AI engineers to design, prototype, or deploy advanced machine learning solutions: feel free to reach out!

Core skills • Deep Learning & CV (PyTorch, YOLO, EfficientNet) • NLP / STT (Transformers, Whisper, BERT) • Data engineering & API integrations (rate-limit-aware; multi-million rows/day) • MLOps (FastAPI, Docker, K8s, CI/CD, AWS/GCP) Workflow: clear metrics → fast POC → iterative tuning → production hand-off with full docs, monitoring, and reproducible Docker images. Business value first. No fluff.

🏆 Why My AI Solutions Stand Out 6+ years engineering software, now a senior AI Developer / Automation Specialist / AI LLM Engineer 50+ AI Automation workflows, AI LLM apps, and AI Solutions delivered end-to-end $3k+ on Upwork at 100% Job Success Score, Top Rated AI Automation cutting manual workloads up to 70% and saving teams 30+ hours/week Production AI LLM and machine learning systems with RAG accuracy 90+/100 and inference costs cut 50% 💥 Recent win - for a SaaS support team, my custom AI Automation + LLM agent replaced ~60% of manual ticket triage, cutting first-response time from hours to minutes and freeing the team for higher-value work. 👋 Hi there! Got an idea for an AI product, a process you want to automate, or an AI LLM workflow that needs to scale beyond a quick demo? Anyone can call an API – but shipping reliable AI Solutions that are stable, scalable, and used by real users is a different level. As a senior AI Developer, Automation Specialist, and software developer with 6+ years of engineering experience, I turn ideas into real AI Automation systems, AI LLM apps, AI agents, and full-stack products – architected for long-term growth, not just a working prototype. From a focused AI LLM chatbot to a complex AI Automation pipeline or an end-to-end AI Solutions platform, every project is engineered by an AI Developer who builds for production, not just for the demo. ⭐️⭐️⭐️⭐️⭐️ "The system was delivered as a fully production-ready product with clean architecture, excellent performance, and real automation that saved our team hours every day. It went far beyond a simple proof of concept." 🚀 AI Solutions, Automation & Product Engineering Services 📌 AI Solutions & MVP Development Complete AI Solutions from scratch – architecture, models, backend, data, deployment Rapid but structured MVP delivery focused on validation and future scalability 📌 AI Automation & Workflow Engineering End-to-end AI Automation with n8n, Make, Zapier and Airtable, plus fully custom Python/Node pipelines As an Automation Specialist, I connect your tools, data and LLM logic into one reliable system – from quick no-code automation Zapier flows to advanced custom workflows 📌 LLM Apps, Agents & RAG LLM-powered chatbots, copilots and autonomous agents built on OpenAI & Anthropic by an experienced AI Developer RAG pipelines with vector search for accurate, context-aware AI Solutions 📌 Integrations & APIs 📌 Integrations & APIs Clean, maintainable APIs that plug AI LLM and AI Automation into existing products Authentication, webhooks, queues and event-driven workflows, wired up by an Automation Specialist, including automation Zapier triggers and multi-step scenarios 📌 Data, Backend & Deployment Scalable backend powering high-load AI Solutions and AI Automation workloads Production infrastructure: databases, monitoring, cost control and scaling 🔧 Process, Tech-Stack & Delivery Discovery & Architecture – as an AI Developer, I define the right architecture before building, so each AI Automation system scales as the business grows. Build (Models & Logic) – as an AI Developer I apply modern AI LLM orchestration, RAG, agents and prompt engineering on top of a solid Python/Node backend. Automation Layer – an Automation Specialist approach that turns manual, repetitive work into reliable AI Automation. Testing & Evaluation – as an Automation Specialist I add evals, guardrails and performance tuning for trustworthy AI Solutions. Deployment & Scaling – CI/CD, Docker, AWS and serverless for production-ready AI systems with 99.9% uptime. 🧩 AI Solutions (MVP → production → scaling) 🤖 LLM chatbots, copilots & AI virtual assistant agents ⚙️ AI Automation pipelines, AI lead generation & internal tools 🔍 RAG & vector search systems 🔐 Integrations, APIs, auth & deployment-ready AI systems 📈 Social media marketing automation & AI software workflows ⚙️ Tech Stack OpenAI · Anthropic Claude · GPT · AI LLM orchestration · Machine Learning · LangChain · LlamaIndex · RAG · Embeddings · Pinecone · Weaviate · pgvector · n8n · Make · Zapier · Airtable · Python · FastAPI · Node.js · TypeScript · PostgreSQL · MongoDB · Redis · AWS · Docker · Vercel · CI/CD 🚀 Looking for an AI Developer, Automation Specialist, AI Engineer, LLM Developer, Data Scientist, Python Developer, Web Developer, AI Solutions Architect, Prompt Engineer, AI Agent Developer, or Workflow Automation expert to build a fast, scalable AI product? I create modern AI Solutions focused on performance, reliability and real business results. 📩 Send me your project details – let's turn your idea into high-quality, scalable AI Automation and LLM-powered AI Solutions. 📅 Last updated: 21.07.2026

Top Rated Plus | Top 10 Machine Learning Agency on Upwork | $500K+ Earned | 8+ Years in AI & Software Engineering I'm an AI Engineer building production-grade AI agent and RAG systems, not simple prompt wrappers. With 8+ years in software engineering and AI development and $500K+ earned on Upwork, I hold Top Rated Plus status and our team is ranked among the Top 10 Machine Learning agencies on the platform. I work with companies that need an AI system to actually run in production, handle real user traffic, and stay accurate, not a demo that breaks on the first edge case. As an AI Engineer, my core work covers retrieval-augmented generation pipelines, agentic workflows with tool calling and structured outputs, prompt engineering, and LLM integration with OpenAI, Anthropic, and Gemini APIs. This is the kind of system clients need an AI Engineer for: not a chatbot that answers FAQs, but an agent that retrieves the right information, calls the right tools, and follows through on what the user actually needs, with hallucination reduction and evaluation built in from the start. As a Machine Learning Engineer and Data Scientist, I build systems for structured and time-series data: demand forecasting, anomaly detection, biomedical signal analysis, and structural health monitoring. My data scientist workflow covers Python, scikit-learn, pandas, NumPy, and SciPy alongside deep learning frameworks including TensorFlow, PyTorch, and Keras, with experiment tracking and evaluation metrics to ensure models perform consistently in production. When a project needs predictive or classification models alongside the AI agent itself, I own that layer too as a Machine Learning Engineer. As a Computer Vision Engineer and software engineer, I build object detection, multi-object tracking, pose estimation, and image segmentation systems using OpenCV, YOLO, and deep learning architectures. Where this intersects with the AI Engineer work is in multimodal systems and computer vision agents: I work with Vision Language Models (VLMs) to build AI pipelines that understand images and video, not just text. Most AI Engineers only work with text. I bring production computer vision and deep learning experience on top of the LLM layer, which matters for any product where the AI needs to see, not just read. On the engineering side, I work as a Python developer and software engineer building backend services with FastAPI, vector databases including Pinecone and pgvector, and LangChain or custom orchestration for multi-step agent logic. When a project needs full ownership of both the AI layer and the surrounding application, I work as a Full Stack AI Developer, handling backend APIs, database design, and frontend integration so the AI system ships as a complete product, not just a backend script. I work with a specialized team that includes a computer vision PhD, deep learning researchers, and mathematical optimization specialists. This lets me scope larger systems, split orchestration, retrieval, and evaluation work across the team, and deliver a full AI Engineer and Machine Learning Engineer engagement faster than a solo contributor could, with the software engineering discipline of clean APIs, logging, and testing baked in from day one. Clients typically work with me when they need: - an AI Engineer to build a RAG pipeline, AI agent, or chatbot that actually works in production - a Machine Learning Engineer or Data Scientist to build predictive models or structured data pipelines - a Computer Vision Engineer to add visual understanding or VLM-based reasoning to an AI product - a Software Engineer who understands LLM orchestration, tool calling, vector search, and backend architecture - a Python developer who can own the full stack from model training to deployed API If you need an AI Engineer and a software engineer with the full stack from prompt design to production deployment, let's talk. Main stack: Python, OpenAI API, Anthropic Claude, Gemini, LangChain, LangGraph, LlamaIndex, FastAPI, Pinecone, pgvector, TensorFlow, PyTorch, Keras, OpenCV, YOLO, Docker, PostgreSQL, JavaScript, Git.