Hire the Best Computer Vision Engineers
in Poland

🚀 𝗜 𝗯𝘂𝗶𝗹𝗱 𝗿𝗲𝗮𝗹-𝘁𝗶𝗺𝗲 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 𝘁𝗵𝗮𝘁 𝘁𝘂𝗿𝗻 𝘃𝗶𝗱𝗲𝗼 𝗶𝗻𝘁𝗼 𝗮𝗰𝘁𝗶𝗼𝗻𝗮𝗯𝗹𝗲 𝗶𝗻𝘀𝗶𝗴𝗵𝘁𝘀. If you're working with CCTV, surveillance, or camera-based applications and need **reliable object detection, tracking, or OCR**, I can help you move from idea → production fast. With 7+ years of experience in AI/ML and Computer Vision, I’ve delivered scalable solutions for clients across the US, Western Europe, and Australia—especially in security, automation, and video analytics. 💡 What I can do for you: • Real-time object detection & tracking (YOLOv8, DeepSORT, Faster R-CNN) • CCTV analytics (intrusion detection, anomaly detection, people/vehicle tracking) • License plate recognition (ANPR) & OCR systems • AI-powered video processing pipelines (OpenCV, FFmpeg) • Edge deployment on NVIDIA Jetson (low latency, optimized inference) • Cloud-based AI systems (AWS, GCP, Azure) 🛠 Tech I work with daily: Python, OpenCV, PyTorch, TensorFlow, YOLO, Hugging Face, ONNX, Docker, Kubernetes, NVIDIA Jetson 🎯 What you can expect: • Production-ready, scalable solutions (not just prototypes) • Clean, maintainable code • Fast communication and clear timelines • Focus on real business outcomes, not just models Whether you’re building a new AI product, upgrading an existing system, or solving a specific computer vision challenge—I can jump in and deliver. 📩 Send me a message with your project details, and I’ll suggest the best approach.

🎁 𝐆𝐄𝐓 𝐘𝐎𝐔𝐑 𝐅𝐑𝐄𝐄 𝐀𝐈 𝐑𝐄𝐀𝐃𝐈𝐍𝐄𝐒𝐒 𝐀𝐔𝐃𝐈𝐓 - send me a message and I'll analyze your stack, data pipelines, and AI use cases in 3-5 days. I work as a Machine Learning Engineer, AI Engineer, DevOps Engineer, and Python Developer delivering production Machine Learning systems and AI solutions using Python, with a strong focus on LLM, RAG systems, Computer Vision, and full MLOps / DevOps infrastructure. I operate with a team of 90+ engineers across Machine Learning, DevOps, and Backend, delivering complex Machine Learning and AI systems end-to-end, from data pipelines to deployed, monitored, and scaled systems in production for US and European clients. I'm a Machine Learning Engineer, AI Engineer, and Python Developer with 10+ years of experience building Machine Learning systems and AI solutions using Python for SaaS, fintech, manufacturing, and enterprise companies. As a Machine Learning Engineer, I combine Python, Deep Learning, NLP, Computer Vision, and LLM technologies to build scalable, production-grade Machine Learning systems that solve real business problems. 💻 As a Machine Learning Engineer, AI Engineer, and RAG Developer, I build RAG systems and Retrieval-Augmented Generation pipelines using Python, vector databases, semantic search, and knowledge retrieval systems integrated into production workflows. As a Machine Learning Engineer working with RAG pipelines, I design systems connected to SQL databases, CRMs, and internal knowledge bases. One Machine Learning-powered RAG system reduced support workload equivalent to 3 full-time employees, cutting response time from hours to seconds. As an AI Agent Developer using LangGraph and CrewAI, I build multi-agent Machine Learning systems where each agent handles retrieval, reasoning, and execution in a single production pipeline. 🤖 As a Machine Learning Engineer, AI Engineer, and LLM Developer, I deliver end-to-end LLM integration using Python and models like GPT-4/5, Claude, LLaMA, and Mistral. I build AI agents, AI copilots, and Machine Learning-driven automation systems integrated into enterprise workflows. As a Machine Learning Engineer, I handle prompt engineering, context engineering, embedding pipelines, vector databases like Pinecone, Weaviate, and Chroma, and optimization of Machine Learning and RAG systems in production environments. 👁️ As a Machine Learning Engineer and Computer Vision Engineer, I develop Computer Vision systems using Python, YOLOv8, Detectron2, and OpenCV for object detection, segmentation, and real-time analytics. I delivered a Machine Learning system that replaced manual inspection in manufacturing and reduced defect escape rate to near zero. I also build Document AI systems using OCR tools like Textract and Google DocAI, including full Machine Learning pipelines for processing noisy and unstructured data. 🧠 As a Machine Learning Engineer and NLP Engineer, I build Machine Learning systems using Python for Named Entity Recognition, text classification, semantic search, multilingual NLP, question-answering systems, sentiment analysis, and topic modeling. I combine traditional Machine Learning approaches with LLM technologies to deliver production-ready language systems. ⚙️ As a Machine Learning Engineer, MLOps Engineer, and DevOps Engineer, I design, deploy, and scale Machine Learning systems in production using Python and cloud infrastructure. I build Machine Learning and AI infrastructure with Kubernetes, Docker, Terraform, Ansible, Jenkins, Kafka, Grafana, Prometheus, and NGINX across AWS, Google Cloud, and Azure. In one DevOps and Machine Learning case, deployments scaled from 1 per month to 120 per month, deployment time decreased by 85%, and infrastructure costs were reduced by 55%. As a Machine Learning Engineer and DevOps Engineer, I don't just build models - I deploy, monitor, optimize, and scale Machine Learning systems in real environments. I build Machine Learning systems using Python, AI solutions, LLM applications, RAG systems, Computer Vision pipelines, NLP systems, and scalable MLOps / DevOps infrastructure that works in production. If you're looking for a Machine Learning Engineer, AI Engineer, Python Developer, or DevOps Engineer who understands Machine Learning systems, DevOps infrastructure, and real business workflows - you're in the right place. 🚀 If you're building or scaling a Machine Learning or AI product and need a Machine Learning Engineer, Python Developer, or DevOps Engineer who can design, build, deploy, and scale real production systems - not just prototypes - I can help. Most clients come when their Machine Learning systems are slow, unstable, or not delivering results. I redesign, optimize, and turn them into scalable Machine Learning and AI systems powered by Python and reliable DevOps infrastructure. 📩 Send me a message with your current setup, and I'll tell you what's missing, what can be improved, and whether your Machine Learning system is ready for prod

I’m a Computer Vision Engineer/Developer with 6+ years of experience in AI and deep learning. I specialize in building advanced computer vision applications, leveraging cutting-edge machine learning algorithms to solve complex real-world challenges. Why Work With Me? Expert in Computer Vision & AI Engineering – OpenCV, YOLO, Tesseract, CRAFT Strong Data Science Background – Statistical analysis, hypothesis testing, data modeling Proficient in Machine Learning & Deep Learning – TensorFlow, PyTorch, Hugging Face Cloud & DevOps Skills – AWS EC2, AWS S3, Docker-based microservices Experienced in NLP – BERT, spaCy, NLTK, embedding extraction Tech Stack: Languages: Python, SQL Data Processing: NumPy, Pandas, SciPy, Scikit-learn Data Visualization: Seaborn, Matplotlib, Plotly Machine Learning & AI: TensorFlow, PyTorch, Transformers, Keras Computer Vision: OpenCV, YOLO, Tesseract, CRAFT, Pillow I thrive on collaborating with cross-functional teams, simplifying complex AI concepts, and delivering impactful solutions. Let’s connect and bring your vision to life!

Packshot | Animation | VFX | Interactive 3D Models I can present your product in the best possible way. This could be showing it in use, placing it in a realistic environment, or bringing it to life in a short animated video. If you are looking for something novel, I can also create an iframe so your model is interactive directly on your website. I also create VFX marketing content, like the viral videos you may have seen online where a giant product suddenly appears in a city street or interacts with the real world. These kinds of visuals are highly shareable and can help your brand stand out on social media. I can create 3D models from sketches, ideas, technical drawings, CAD files, or photographs. Together we can choose the perfect visual style for your product, making sure it looks great on your website, e-commerce store, or presentation. I have successfully delivered visualizations for a wide range of clients, including high-tech startups, beauty brands, and equestrian event organizers. Some of my clients have stayed with me for years, building long-term relationships that helped grow their businesses. My background in Management and Manufacturing Engineering, with a specialization in Product Development Engineering, allows me to understand the technical aspects of products and create accurate, effective visualizations. I have many years of experience in this field and have also expanded into software development, connecting 3D software with AI. have many success in that field including: synthetic data generation, object detection networks and Blender based tools for LLMs. The tools I use include Blender, Substance Painter, Python, Pixelmator, and Linearity. My goal is not only to create stunning visuals but also to help you increase sales, improve presentations, and make your product stand out. I am reliable, deliver on time, and maintain clear communication throughout the project. Let’s discuss your project and find the best way to bring your product to life. I am always happy to hop on a call with you!

🎯 How I Add Value & My Work Ethos Business-Centric Development: I deeply understand your business to craft solutions that align perfectly with your challenges and opportunities, ensuring innovation is impactful and economical. Complimentary Consultation: Begin our collaboration with clarity. Schedule a one-hour consultation to discuss your needs and how I can contribute. Resourceful Execution: Equipped with a high-performance server optimized for training deep learning models, including medium-scale object detection and transfer learning for LLM models. Measurable Results: My projects consistently yield tangible outcomes, from optimized inference times to high-throughput video analysis. 📈 Achievements By The Numbers 🚦 Object Detection & Cloud: Traffic Analytics Development: Led software development using NVIDIA DeepStream with multi-stage models on 100+ sites featuring several cameras each, leveraging NVIDIA Jetson devices and TensorRT for optimized performance. Advanced MLOps Pipelines: Managed MLOps pipelines, achieving 98% average accuracy in object detection models both on-premises and with AWS SageMaker. Auto-Labeling Pipelines: Engineered rapid auto-labeling pipelines with Label Studio, curating a diverse dataset of 500K images in under six months. Blurring Object Detection Models: Streamlined models via SageMaker and DeepStream, reducing response time by fivefold. Semantic Segmentation: Executed on 5+ dashcam views with DeepStream, ensuring 25 fps per camera on Jetson devices. High-Capacity Video Analysis: Deployed endpoints on SageMaker, processing over 1,000 videos weekly with 90% accuracy while cutting costs by 90%. Sports Tennis Tracking Project: Developed a real-time tennis tracking system using advanced object detection algorithms and OpenCV, enhancing player performance analysis. 🔍 Anomaly Detection: Production Deployment: Spearheaded the deployment of anomaly detection algorithms on 10+ production sites using Raspberry Pi, analyzing over 30,000 signals daily. AWS SageMaker Canvas Integration: Leveraged SageMaker Canvas for rapid Development and deployment of anomaly detection models. Price Trading Anomaly Detection: Implemented anomaly detection for price trading on AWS, utilizing SageMaker and PyOD to identify irregularities in financial data. ☁ AWS Mastery: Serverless Systems Development: Built scalable, serverless systems using AWS ECS, S3, Lambda, DynamoDB, and RDS, enabling efficient data processing solutions. Data Pipelines: Orchestrated serverless pipelines processing over 500K data records daily. Efficient SageMaker Endpoints: Crafted data pipelines for 10+ SageMaker endpoints, achieving near-instant processing with S3 triggers. Video Analysis Optimization: Optimized video analysis via SageMaker's autoscaling endpoint, reducing processing times by 80% and costs by 90% through effective scaling. Real-Time Data Processing: Innovated a robust system based on DynamoDB, AppSync, S3, and RDS, overseeing over 1M+ data transactions daily. 🎨 Generative AI Enthusiast My passion drives my expertise. I have hands-on experience using the OpenAI API, Hugging Face, and LangChain, constantly pushing the boundaries of AI. 🔄 Versatile Approach Whether embracing a startup's agility or an enterprise's consistency, I adapt to deliver the best of both worlds. 🛠️ Toolbox 🔑 Languages: Python 🌩️ Cloud: AWS SageMaker, AWS SageMaker Canvas, AWS ECS, AWS Lambda, AWS DynamoDB, AWS RDS, AWS S3, AWS Athena, Serverless Framework, AWS Glue, Amazon Redshift 🤖 Machine Learning: scikit-learn, pandas, numpy, PyCaret, PyOD, Plotly 🧠 Deep Learning: TensorFlow, PyTorch, NVIDIA TensorRT, DeepStream, OpenCV 📊 Data Science Specialties: Object Detection, Anomaly Detection, Semantic Segmentation, Generative AI 🚀 Misc. Tools: Ubuntu, Docker, SQL, CI/CD, Git, AWS CloudFormation Certifications AWS Certified Machine Learning – Specialty Academy Accreditation - Databricks Lakehouse AWS Certified Developer – Associate Eager to bring unparalleled data-driven innovation to your challenges? Let's create the next success story together!

With 10+ years of full-stack development, 100+ scalable web apps shipped, and 10,000+ hours architecting Python backends and modern React frontends, I build production-ready systems that scale with your business. My solutions have delivered: * 65% faster page load times through React optimization & server-side rendering * 50% growth in backend performance via Python API optimization & caching * 90% reduction in deployment issues with automated CI/CD pipelines and containerized environments I'm a Top Rated Senior Full-stack developer, specializing in Python for backend and React / TypeScript for frontend - building seamless, secure, and performant web applications from end to end. Why Clients Choose My Full-Stack Expertise * 10+ years developing end-to-end web platforms for startups and enterprises * 100+ successful production deployments across SaaS, e-commerce, fintech, and internal tools Expert in FastAPI, Django, Flask for backend and React + TypeScript for frontend Strong API design, cloud architecture, and CI/CD automation skills Proven results: faster delivery cycles, reduced infrastructure costs, and improved user experience Backend Engineering (Python) * Architecting and developing RESTful and GraphQL APIs using FastAPI, Django, Flask * Database modeling & optimization with PostgreSQL / MySQL / MongoDB / Redis * Authentication & authorization systems (JWT, OAuth2), background workers, cron jobs * Task queues, caching layers, and performance tuning for scalable services Frontend Development (React / TypeScript) * Building high-performance SPAs with React, Next.js, and modern TypeScript architecture * Implementing server-side rendering (SSR) and code splitting for SEO & speed * Component libraries, state management (Redux / Context), and pixel-perfect UI development * API integration, forms, routing, error boundaries, and testing API Architecture & Integrations * Designing clean, secure, and versioned APIs consumed by multiple frontends * Building microservices and internal tools integrated with 3rd-party APIs (Stripe, Auth0, Slack, etc.) * WebSocket & real-time data flows, background processing, and pub/sub systems Tech Stack & Tooling Languages Python · JavaScript (ES6+) · TypeScript · HTML5 · CSS3 Backend Frameworks FastAPI · Django · Flask Frontend Frameworks React · Next.js Databases PostgreSQL · MySQL · MongoDB · Redis Tooling & DevOps Docker · GitHub Actions · GitLab CI/CD · Nginx · AWS / GCP / Azure · S3 · CloudFront Other REST / GraphQL · WebSockets · Celery / RQ · Background Jobs · Testing (Pytest, Jest, React Testing Library) · ESLint · Prettier Recent Wins * SaaS Platform - Built a Python + React platform from scratch; reduced page load times by 62% with SSR and API caching. * E-Commerce Backend - Migrated a monolith to FastAPI microservices; backend throughput improved by 48%. * Internal Dashboard - Delivered a React admin panel with real-time updates and granular RBAC; boosted team efficiency by 35%. * DevOps Automation - Set up CI/CD pipelines and Docker; 90% fewer deployment issues. * Analytics API - Designed a FastAPI backend serving 1M+ requests/day with Redis caching and async I/O. Use Cases * SaaS Platforms - Multi-tenant apps with secure auth, dashboards, and APIs * E-Commerce Backends - Product catalogs, order flows, and payment integrations * Internal Tools & CRMs - Fast admin panels, role-based access, and real-time updates * API-Driven Systems - High-performance backends powering multiple frontends & mobile apps * Modern Frontends - React SPAs and SSR apps with excellent performance and UX Measurable Results * +65% faster frontend load times with code splitting & SSR * +50% backend performance boost using async APIs & caching * +90% fewer deployment issues with containerized CI/CD pipelines * +40% cost reduction by optimizing cloud infrastructure * 2× developer velocity through clean architecture & automation Ready to scale your product with a battle-tested Full-Stack Engineer? Let's build something fast, clean, and production-ready - together.