Hire the Best Pattern Recognition Specialists in Kyiv, UA

I am a highly skilled AI/ML Engineer specializing in building intelligent, production-grade AI systems. My expertise spans Artificial Intelligence, Machine Learning, Natural Language Processing (NLP), Deep Learning, Computer Vision, and AI Agent Development. I am proficient in Python and work extensively with frameworks such as LangChain, LangGraph, TensorFlow, PyTorch, and Hugging Face Transformers to design, fine-tune, and deploy complex models. I have hands-on experience building autonomous AI agents and LLM-powered applications, including a stateful conversational assistant (LangGraph, OpenAI API) for a food delivery and wellness app with personalized recommendations, nutrition tracking, and image-based food recognition, and an autonomous media-buying agent powered by the Anthropic Claude API that integrates with the Meta Marketing API for automated budget optimization with human-in-the-loop approval, real-time SSE streaming, and voice command processing (Deepgram). In fraud detection and anomaly analysis, I've built and maintained a large-scale claims intelligence platform (~7.8M+ records) combining deterministic business rules, behavioral clustering, and an ensemble ML pipeline (Isolation Forest, One-Class SVM, LOF) with SHAP explainability, backed by FastAPI, SQL Server, and SQLAlchemy. My Computer Vision experience includes fine-tuning YOLOv8 for object detection on satellite imagery (parking space detection) using tiling-based training for improved accuracy, along with building Streamlit demos for interactive model evaluation. I also have experience with Retrieval-Augmented Generation (RAG) for document analysis (legal document summarization and Q&A using LangChain and vector databases like Pinecone/FAISS), text classification and AI-generated content detection using fine-tuned Transformer models (RoBERTa, DeBERTa) combined with statistical NLP methods, and building customer support automation systems using Dify, BERT, and Elasticsearch-based RAG pipelines. I work closely with data to drive impactful, measurable results, and I'm proficient in API integrations, cloud deployment (AWS, Azure), Docker-based infrastructure, and observability/evaluation tooling (Langfuse, Weights & Biases) to ensure AI systems are reliable, explainable, and production-ready. My goal is to deliver innovative, high-performance AI solutions — from LLM agents to fraud detection systems and computer vision pipelines — that solve real-world problems and drive measurable business value.

I represent an award-winning company called LITSLINK. We are a product-oriented development team (which consists of 250+ highly qualified software engineers, UI/UX designers, business analysts, project architects, project managers, and QA engineers) experienced in almost all popular areas: ✅ AI: Machine Learning, Computer Vision, Natural Language Processing, Big Data Analytics ✅No-code, Low-code: Bubble, WebFlow ✅ Blockchain: Solidity, Rust, Solana/Near blockchains, smart contracts ✅ Cross-Platform Mobile development React Native, Flutter ✅ Web development: Front-end (React.JS, Vue.JS, Angular.JS); Back-end (Node.JS, Java, Python) ✅ AR/VR: Untiy3D/C#, Hololens, Hololens 2, GearVR, MS Mixed Reality, Oculus, HTC Vive, iOS/Android (AIRKit, ARCore) We provide smart and fast solutions on time and on budget. By hiring us, you are getting the expertise of our software architect board and the whole team's knowledge. Whether you need a single developer or a whole team, we are here to help.

Looking for custom dataset annotation? Then, you're in the right place. Data scientists and operation managers contact me when they need to streamline their dataset labeling flow. Apply for our free pilot to check if we are a good fit. Message me to learn more about the free trial. ⬇️ Click on more to learn about how we work Great! Here's more info: Common challenges of our clients: - Data scientists need their ML model to perform with top accuracy and public datasets don't help - Operation managers must figure out how to streamline the dataset annotation process - Executives need to deploy the model before the deadline, annotation slows it down - Product managers need model retraining for each new client while handling sensitive data - Academic researchers don't spend enough time on the research because of the labeling efforts Choose our services: - Computer Vision Annotation - Natural Language Processing Annotation - Quality Assurance - Model Validation You can get these CV object annotations: - Images - Videos - 2D/3D bounding boxes - Pixel segmentation - Lidar / Radar Receive these NLP object annotations: - Sentiment tagging - Linguistic tagging - Named entity recognition - Audio-to-text Quality Assurance When your custom datasets need quality check flow. It is also useful when your current labeling setup is not as efficient. We begin by establishing quality benchmarks and then automate the flow. The result is a pixel-perfect dataset. Model Validation When your object recognition produces poor results. We can help out by identifying the edge cases from the dataset. Then, we relabel those objects and check the accuracy improvement with your data scientists. How It Works: 1. Run a free test project to check if we’re a good fit 2. Get final cost calculations according to the test run 3. Have us sign the NDA and other documents 4. Start receiving the labeled datasets 5. Get happy with the faster deployment and a better accuracy rate > Let's annotate your first objects for free --- FAQ: Do I need to commit to a long-term contract? - Not at all. We offer 3 flexible pricing options: Short term for one-off projects like academic research On-demand for seasonal projects when you need additional workforce Long-term for a streamlined data annotation workflow What is your pricing? - We calculate according to how much time is spent on your object annotation. That’s why the pilot project is also valuable for us – we get to calculate the expenses. When can I start the free pilot? - As soon as we clarify details on your dataset. You’ll get a reply within this or the next work day. Do you work with our labeling tools? - Absolutely! We’re flexible with any tools you want us to work in. How can I trust you with my confidential data? - We earned several data compliance certificates to prove our dedication to data security: PCI DSS Level 1 ISO:27001 GDPR CCPA After we sign the NDA, we make sure to anonymize your data for our employees to prevent any data leaks. Let's start our free pilot!

Hi there! I’m an AI Engineer specializing in Computer Vision, AI Agent Development, and OCR-based automation. With 3+ years of experience in Machine Learning and AI engineering, I build intelligent, production-ready systems that help businesses automate workflows, analyze visual data, and enhance decision-making with AI. ⚙️ What I Do: Computer Vision: Object detection, image segmentation, face & document recognition OCR Solutions: Text extraction from images, invoices, and scanned documents AI Agents: LLM-powered agents for data processing, task automation, and chatbot integration ML Model Development: Training, optimization, and deployment of deep learning models AI Infrastructure: FastAPI, Docker, AWS/GCP, and scalable MLOps pipelines 🧠 Tech Stack: PyTorch | TensorFlow | OpenCV | Tesseract | LangChain | Hugging Face | scikit-learn | Python 🌟 Why Clients Work With Me: End-to-end development — from concept to production Strong focus on accuracy, reliability, and scalability Clear communication and on-time delivery Passion for building AI solutions that make a real-world impact Let’s bring YOUR Computer Vision or AI automation idea to life 🚀

AI Developer specializing in Generative AI, Computer Vision, and Audio AI systems. I design and deploy production-grade AI solutions built from scratch for image, video, audio, and multimodal applications. My work focuses on system-level development: from architecture design and model training to optimization and deployment, delivering scalable AI components ready for real-world environments. Core Expertise Generative AI Systems ▪️ Diffusion-based image and video generation (SDXL, FLUX, ControlNet) ▪️ Controlled generation, inpainting, style transfer ▪️ Text-to-video and 3D generation pipelines ▪️ Neural speech synthesis and AI audio generation ▪️ Synthetic data generation for model training Computer Vision ▪️ Object detection, tracking, and segmentation ▪️ OCR, pose estimation, face recognition ▪️ 3D reconstruction and depth estimation ▪️ Real-time and edge-optimized vision systems Audio AI & DSP ▪️ Audio segmentation and source separation ▪️ Spectrogram-based modeling and transformer audio embeddings ▪️ Speech recognition and synthesis systems ▪️ Feature-driven audio analysis pipelines ▪️ Cross-modal (audio–vision–text) modeling Machine Learning & Architecture ▪️ Custom neural network architecture design (CNNs, U-Nets, Transformers) ▪️ End-to-end ML lifecycle: data strategy → training → validation → deployment ▪️ Performance optimization for accuracy, latency, and hardware constraints Deployment & Edge Systems ▪️ Cloud, on-premise, and edge deployment ▪️ Dockerized inference services ▪️ ONNX / TensorRT optimization ▪️ Mobile and embedded AI systems What I Deliver ▪️ Custom AI system development (from scratch) ▪️ Structured R&D and technical validation ▪️ Production-ready ML / CV / multimodal pipelines ▪️ Scalable architecture aligned with product and business goals

2D/3D computer vision engineer specializing in geometry-driven visual systems and deep learning. My core focus is building reliable pipelines for image analysis, 3D reconstruction, and spatial understanding, from research and prototyping to production-ready solutions. I work extensively with object detection and segmentation, depth estimation (monocular and stereo), pose estimation, and multi-view geometry. A significant part of my experience is focused on 3D reconstruction workflows, including meshing, texturing, and geometry validation for mobile, web, and embedded environments. Beyond Python prototyping, I regularly implement and optimize computer vision algorithms in C++ and deploy models to real-world systems, including mobile and edge devices. Hands-on experience integrating AI solutions into iOS and Android applications, as well as working with AR frameworks such as ARKit and Unity when projects require spatial interaction or real-time performance. As a technical lead, I’m involved in the full lifecycle of computer vision projects: problem formulation, architecture design, model development, optimization, and validation.