Hire the Best OCR Tesseract Specialists in Yerevan, AM

✅ Algorithms for competitive advantage ✅ Optimizations, Research and Development ✅ Machine Vision, Image Processing Prefer challenging projects which require creative solutions. Experienced in all aspects of software life-cycle; from concept to deployment. Full Stack development; Frontend, Backend, Web, Mobile, Desktop. Can start project from scratch and return you a complete product.

Hi there! I'm an AI Engineer specializing in Computer Vision, LLM Fine-Tuning, RAG Systems, and AI Agent Development. With 4+ years of hands-on experience in Machine Learning and AI engineering, I build intelligent, production-ready systems that help businesses automate workflows, analyze visual data, detect sensitive information, and make smarter decisions with AI. ⚙️ What I Do: • RAG & LLM Systems: Production RAG pipelines with semantic search, vector stores (ChromaDB), time-aware retrieval, and grounded LLM responses via OpenAI GPT-4o-mini and LangChain — deployed on GCP with Docker and GitLab CI/CD • LLM Fine-Tuning: End-to-end fine-tuning pipelines across Llama, Mistral, Gemma, Phi, DeepSeek, Qwen, and Granite for NLP classification tasks — including custom dataset construction, HuggingFace Trainer API, and benchmark evaluation • Computer Vision: Real-time object detection and tracking (YOLOv8/v11, ByteTrack, StrongSORT), multi-camera Re-ID with epipolar geometry, emotion recognition, and TensorRT/ONNX-optimized inference pipelines • AI Agents & Automation: LLM-powered agents, Celery-based data ingestion pipelines, chatbot development, and API-driven workflow automation with FastAPI • ML Model Development: CNNs, NLP, model training, fine-tuning, ONNX/TensorRT optimization, and scalable production deployment • AI Infrastructure: FastAPI, Docker, GCP, GitLab CI/CD, PostgreSQL, MongoDB, Redis, scalable AI app architecture 🧠 Tech Stack: Python · PyTorch · HuggingFace Transformers · LangChain · OpenCV · YOLOv8/v11 · ChromaDB · FastAPI · Celery · Docker · PostgreSQL · MongoDB · GCP · GitLab CI/CD · ONNX · TensorRT · Streamlit · Stable Diffusion · scikit-learn 🌟 Why Clients Work With Me: • End-to-end delivery — from data collection and model training to production deployment and maintenance • Hands-on experience across media, retail, urban planning, and data privacy domains • High focus on accuracy, low latency, and scalability • Clear communication, fast delivery, and strong problem-solving under real production constraints Let's bring your AI, Computer Vision, or LLM idea to life 🚀

I help companies build AI systems that extract, validate, and route data from PDFs, scans, emails, spreadsheets, and internal knowledge bases into the tools their teams already use. My main focus is AI document processing, OCR, data extraction, and RAG-based automation for real business workflows. This usually means combining OCR, LLMs, retrieval pipelines, validation rules, human review, APIs, and CRM/ERP/database integrations into one reliable process — not just building a standalone AI demo. Together with the Businessware Technologies team, I have worked on medical form OCR, scanned receipt extraction, bank statement parsing, technical document layout extraction, newspaper OCR and segmentation, Azure Document Intelligence customization, RAG agents, AI assistants, and document processing pipelines for legal, healthcare, finance, logistics, and operations teams. A typical project starts with understanding the business process: what documents come in, what data needs to be extracted, where errors happen, who reviews the result, and where the final output should go. From there, we design and build a practical system that fits your data quality, budget, timeline, and risk level. My skills: Data Extraction, OCR Software, Document Analysis, AI Development, Intelligent Document Processing, Document Automation, Retrieval-Augmented Generation, OpenAI API, Python, FastAPI, LangChain, Vector Database, Azure AI Document Intelligence, AWS Textract, API Integration, Workflow Automation, AI Agent Development, Computer Vision, Natural Language Processing, n8n.

Hi ! I am Karen, a 20-year-old AI engineer with a strong background in computer vision, data science, web scraping using Python, and proficiency in Django development. I have a wealth of experience in various computer vision tasks, and my current focus is on developing cutting-edge OCR (Optical Character Recognition) systems. In addition to my computer vision and data science expertise, my proficiency in web scraping with Python allows me to gather valuable data from various online sources efficiently. Furthermore, my Django skills enable me to create robust and scalable web applications, adding a dynamic dimension to my capabilities. As I venture into the world of freelancing, I am eager to apply my diverse skill set and contribute to projects that demand precision, innovation, and web-based solutions. I am confident that my skills and dedication will enable us to collaborate effectively and achieve outstanding results. I look forward to the opportunity to work together and deliver exceptional solutions tailored to your specific needs.

I'm a Data Scientist/Machine learning engineer, with more than 5 years experience, and Kaggle Expert (top 2%). My toolbox includes mathematical & statistical methods, machine learning algorithms, programming and domain knowledge. I'm focusing on Computer vision, OCR (optical text recognition), NLP (Natural Language Processing), Time Series Analysis, Data Analytics. I have successfully implemented the following projects:: - Face detection and recognition system for the Mall; - OCR system: document segmentation, alignment, quality improvement, super-resolution, information extraction; - Manage Parking spaces through surveillance cameras for the Mall; - Chat-bot for real estate company; - Profit prediction in retail chain stores; - Stocks market trading models. The effectiveness of solutions is confirmed by participation in Kaggle competitions (into the top 5% of the competition ranking). I will perform a full spectrum of works "on a turnkey basis" with the maximal quality. Starting from the problem statement, data preparation, to the construction of the finished model and analysis and visualization of the results, with the use best practice technique.

7+ years building production computer-vision, OCR, edge-AI, and AI backend systems where accuracy, latency, and reliability matter. Typical work includes defect detection, live video/object tracking, on-device model optimization, document/OCR pipelines, OpenAI/RAG integrations, and launch rescue for AI products that need evaluation, observability, and clean API architecture. My strongest fit is a project with real data, a broken or uncertain pipeline, and measurable acceptance targets: accuracy, false positives, latency, edge-device constraints, cost, security, or launch readiness. Core work: - Computer vision / OCR: detection, segmentation, tracking, image analysis, OCR extraction, validation, reviewer workflows - Edge AI: ONNX/TensorRT conversion, model optimization, quantization-aware deployment, mobile/on-device inference - AI backend: OpenAI API, RAG, VLMs, source traces, confidence checks, FastAPI, PostgreSQL - Production delivery: tests, logging, monitoring, cloud deployment, handoff docs I am a good fit when AI output must be accurate, fast enough for production, reviewable, logged, and reliable enough for real business use.