Hire the Best OCR Algorithms Specialists
in India

I am an AI Engineer/ Data Scientist specializing in building end-to-end intelligent systems for industrial and enterprise applications. I design, develop, and deploy AI-powered solutions combining computer vision, NLP, voice AI, and automation. My work spans real-time incident detection, agentic chatbots & voice bots, auto-annotation pipelines, synthetic data generation, OCR extraction, and custom ML application deployment. I have successfully delivered fully integrated AI applications that manage data ingestion, model training, pipeline automation, and scalable deployment using FastAPI, Flask, Docker, Kubernetes, and MongoDB. I focus on turning complex AI technologies into production-ready, business-impacting applications.

I help businesses bridge the gap between "experimental AI" and "production-ready products." With a deep background in Large Language Models (LLMs) and Computer Vision (CV), I build intelligent systems that are scalable, secure, and user-friendly. What I Bring to Your Project: LLM Applications: Custom RAG pipelines, agentic workflows, and fine-tuning for specialized industry use cases. Computer Vision: Real-time object detection, face recognition, image segmentation, and OCR systems optimized for edge or cloud. Production DevOps: Automated CI/CD pipelines, containerization (Docker/K8s), and cloud management (AWS/GCP/Azure). User-Centric Design: A unique understanding of UI/UX, ensuring that complex AI features remain intuitive and accessible to end-users. Let’s take your AI vision from a Jupyter notebook to a high-traffic live application.

Need an AI Engineer who can build accurate OCR, Document AI, and AI Data Extraction solutions for real business workflows? I specialize in developing production-ready OCR systems, Intelligent Document Processing (IDP), AI-powered Data Extraction, Enterprise RAG, and AI Automation that transform unstructured documents into structured, validated, and business-ready data. Whether you're processing invoices, contracts, purchase orders, financial statements, passports, forms, medical records, insurance documents, or scanned PDFs, I build solutions focused on accuracy, reliability, scalability, and automation rather than simple text extraction. ⭐ Why Clients Work With Me ✓ 96.8% verified field-level extraction accuracy ✓ 10,000+ business document pages processed ✓ Production-ready OCR and Document AI solutions ✓ Structured outputs including JSON, CSV, Excel, SQL databases, and REST APIs ✓ Enterprise-focused architecture designed for long-term scalability ✓ Clean Python code, clear communication, and reliable delivery ⭐ Services OCR & Intelligent Document Processing • OCR Development • Intelligent Document Processing (IDP) • Document AI • AI OCR Pipelines • PDF Processing • Scanned Document Processing • Multi-column Document Parsing • Table Extraction • Layout-aware OCR • Handwritten Text Recognition • Image Processing • Document Classification • AI Data Extraction • Invoice OCR • Invoice Data Extraction • Purchase Order Processing • Contract Data Extraction • Financial Statement Processing • Bank Statement Extraction • Medical Document Processing • Insurance Document Processing • Passport & ID Extraction • Forms Processing • PDF to JSON • PDF to CSV • PDF to Excel • Key-Value Extraction • Automated Document Processing ⭐Enterprise RAG & Knowledge Systems • Retrieval-Augmented Generation (RAG) • Enterprise Knowledge Base • Semantic Search • Document Question Answering • AI Knowledge Assistants • Private GPT • Multi-document Search • Context-aware AI Chatbots ⭐AI Automation • AI Agents • Workflow Automation • Document Validation • Information Verification • Business Process Automation • AI-powered Document Review • Report Generation ⭐Selected Projects ◆ Enterprise OCR & Document Intelligence Platform Designed an end-to-end Document AI platform capable of processing thousands of business documents with 96.8% verified field-level extraction accuracy. Combined OCR, layout analysis, validation rules, and AI models to generate structured outputs ready for enterprise systems. ◆ Intelligent Invoice & Financial Document Processing Developed automated extraction pipelines for invoices, purchase orders, financial statements, and business forms. Reduced manual document processing by delivering validated JSON, CSV, and Excel outputs for downstream automation. ◆ AI Form & Application Processing Built OCR workflows for structured and semi-structured forms, extracting key-value pairs, tables, signatures, names, emails, and application data from multilingual scanned documents with confidence scoring and validation. ◆ Enterprise RAG Knowledge Assistant Developed Retrieval-Augmented Generation (RAG) solutions that enable organizations to search, retrieve, and interact with large internal document collections using semantic search, vector databases, and modern Large Language Models. ◆ AI Workflow Automation Integrated OCR, Document AI, and AI Agents into business workflows to automate document classification, validation, summarization, and routing, reducing repetitive manual work and improving operational efficiency. ⭐Technology Stack Languages Python • SQL • FastAPI • REST APIs OCR & Document AI Tesseract OCR • PaddleOCR • EasyOCR • OpenCV • Layout Analysis Large Language Models OpenAI • Claude • Gemini • Llama • Qwen • DeepSeek RAG & AI Frameworks LangChain • LlamaIndex • LangGraph • Ollama • vLLM Vector Databases Qdrant • Pinecone • FAISS • ChromaDB Deployment Docker • PostgreSQL • Git • Linux ⭐Industries Finance • Banking • Healthcare • Insurance • Legal • Manufacturing • Logistics • Government • Real Estate • Enterprise SaaS ⭐Why Accuracy Matters Successful OCR is not about recognizing text—it's about delivering accurate, validated, and structured information that businesses can trust in production. My solutions combine OCR, Document AI, LLMs, validation logic, and workflow automation to maximize extraction quality while minimizing manual review. If you're looking for an AI Engineer who can build production-ready OCR, Document AI, AI Data Extraction, Enterprise RAG, and Automation solutions, I'd be happy to discuss your project.

Senior AI Automation Engineer with $300K+ earned, 20,000+ Upwork hours, 365 completed jobs, and 12+ years of experience in Python, AI agents, API integration, and web scraping. I build reliable production systems not fragile demos. Clients hire me to turn manual workflows, scattered data, or early AI prototypes into dependable software that saves time, improves accuracy, and can be maintained by their team. WHAT I BUILD • AI Agents & LLM Applications OpenAI, Claude, and Gemini integrations; structured outputs, tool calling, memory, prompt engineering, multi-agent workflows, MCP, confidence controls, and human approval steps. • RAG & Document Intelligence Knowledge assistants, embeddings, vector search, PDF/DOCX/image processing, OCR, classification, validation, and structured exports to Excel, CSV, JSON, or databases. • Business Process Automation n8n, Make, Zapier, REST APIs, OAuth, webhooks, email, Google Sheets, calendars, CRMs, Slack, Telegram, and WhatsApp integrations. • Web Scraping & Browser Automation Scrapy, Playwright, Selenium, Requests, and BeautifulSoup for dynamic websites, login workflows, pagination, monitoring, large-scale crawling, proxy rotation, and clean structured datasets. • Backend Systems & Dashboards FastAPI, Django, Flask, Next.js, React, PostgreSQL, MongoDB, Redis, Docker, AWS, and Google Cloud. • Existing-Code Rescue & Production Deployment I can audit, repair, extend, and deploy existing Python applications or AI-generated projects created with Replit, Cursor, Codex, Claude Code, or similar tools. TYPICAL PROJECTS • AI research, lead qualification, and data-enrichment agents • RAG chatbots and internal knowledge assistants • PDF, report, invoice, and CV extraction systems • Price, product, property, and opportunity-monitoring bots • Browser automation with alerts and scheduled processing • Large-scale web crawlers and ML-ready datasets • API integrations, internal tools, dashboards, and SaaS MVPs • Reliability improvements for Python, Playwright, and LLM applications WHAT YOU CAN EXPECT • Clear requirements and practical architecture • Clean, tested, documented, and maintainable source code • Validation, retries, logging, monitoring, and error handling • Secure deployment with controlled LLM and API costs • Transparent progress updates and complete handover • Full ownership of your source code and data My advantage is the combination of deep web-data engineering experience and modern AI automation. I know where an LLM creates real value and where deterministic rules, validation, or human review are safer and more reliable. Send me your workflow, current code, or sample input and expected output. I will identify the main technical risks and recommend the simplest reliable path from idea to production.

I help organizations architect, modernize, and scale enterprise software platforms and AI-driven solutions that power business-critical operations. Over the past 20+ years, I have architected and delivered enterprise-scale software platforms across Healthcare, Banking, Telecommunications, Aviation, Education, Government, Logistics, and Retail—helping organizations build systems that remain reliable, scalable, and maintainable as they grow. My role extends beyond implementation. I work closely with founders, CTOs, and engineering leaders to evaluate architectural trade-offs, reduce technical risk, define technology strategy, and guide products from concept through production deployment. 𝗖𝗼𝗿𝗲 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 ▔▔▔▔▔▔▔ 𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲: ➜ Agentic AI ➜ Retrieval-Augmented Generation (RAG) ➜ Natural Language to SQL (NL2SQL) ➜ LLM Integration & Prompt Engineering ➜ AI Assistants & Enterprise Knowledge Platforms ➜ Intelligent Document Processing (IDP) ➜ Recommendation & Personalization Engines ➜ Predictive Analytics & Workflow Automation 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗦𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴: ➜ Enterprise Web Applications ➜ SaaS Platforms ➜ Full-Stack Architecture ➜ Microservices & REST APIs ➜ Cloud-Native Applications ➜ Database Architecture & Optimization ➜ Authentication & Security ➜ Workflow & Business Process Automation ➜ System Integration 𝗦𝗲𝗹𝗲𝗰𝘁𝗲𝗱 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 ▔▔▔▔▔▔▔▔▔▔▔▔▔▔ The majority of these platforms were designed for high-volume enterprise environments, requiring scalable architectures, complex business workflows, secure integrations, and long-term maintainability. 𝗥𝗲𝗽𝗿𝗲𝘀𝗲𝗻𝘁𝗮𝘁𝗶𝘃𝗲 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀 & 𝗔𝗜 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀: ➜ Enterprise NL2SQL Intelligent Query Platform ➜ Retrieval-Augmented Generation (RAG) Knowledge Assistant ➜ AI Recommendation & Personalization Platform ➜ Intelligent Invoice Processing & Automation Platform ➜ Resume Screening & Candidate Evaluation Platform ➜ Fraud Detection & Transaction Monitoring System ➜ Enterprise Workforce Planning Platform ➜ University Inventory & Material Management Platform ➜ Warehouse Management System ➜ Transport Management System ➜ OrbitView – AI-Powered Geospatial Intelligence Platform 𝗖𝗼𝗿𝗲 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀 ▔▔▔▔▔▔▔▔▔ 𝗔𝗜 & 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴: Python | OpenAI | Claude | Gemini | LangChain | TensorFlow | Keras | Scikit-learn | Vector Databases | Graph Databases 𝗕𝗮𝗰𝗸𝗲𝗻𝗱: FastAPI | Spring Boot | Node.js | Java | .NET | REST APIs | Microservices 𝗙𝗿𝗼𝗻𝘁𝗲𝗻𝗱: React | Next.js | TypeScript | JavaScript | Material UI | OpenLayers 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀: PostgreSQL | SQL Server | MySQL | Oracle | MongoDB 𝗖𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀: AWS | Azure | Docker | Kubernetes | Git | CI/CD 𝗪𝗵𝗮𝘁 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗩𝗮𝗹𝘂𝗲: ➜ Architecture-first thinking that reduces technical debt ➜ Production-ready engineering and scalable system design ➜ Clean, maintainable, and extensible code ➜ Clear technical communication with business stakeholders ➜ AI solutions focused on measurable business outcomes ➜ Long-term engineering partnership from architecture through deployment Whether you're launching a new AI product, modernizing an existing enterprise platform, or scaling a mission-critical application, I bring an architecture-first approach focused on long-term scalability, operational reliability, and measurable business value.

I am an AI Engineer with 4+ years of experience building and deploying production-ready AI systems across classical machine learning, deep learning, computer vision, NLP, and Generative AI. Unlike many AI developers who focus only on LLMs, I work across the entire AI stack. I believe the best solution isn't always a large language model or an expensive API. Many real-world problems are better solved using classical machine learning or deep learning, resulting in lower infrastructure costs, faster inference, reduced latency, and greater control over your solution. My goal is always to build the most effective system not the most expensive one. Some of the areas I regularly work in include: * Classical Machine Learning (XGBoost, LightGBM, CatBoost, Random Forests, SVMs, feature engineering, predictive modelling, forecasting, anomaly detection, recommendation systems) * Deep Learning (PyTorch, TensorFlow, CNNs, Transformers, Vision Transformers, knowledge distillation, model optimization) * Computer Vision (object detection, image classification, segmentation, OCR, document understanding, face recognition, multi-object tracking, embedding-based search) * NLP & LLMs (RAG, GraphRAG, agentic workflows, fine-tuning, embeddings, semantic search, document QA, information extraction) * Generative AI applications using OpenAI, Anthropic, Gemini, and open-source models * End-to-end AI pipelines from data collection and preprocessing to training, evaluation, deployment, and monitoring I also have extensive experience optimizing AI models for production through knowledge distillation, pruning, quantization, and efficient inference, making models smaller, faster, and more cost-effective for both cloud and edge deployments. On the engineering side, I work comfortably with Python, FastAPI, PostgreSQL, pgvector, asynchronous programming, Docker, GPU acceleration, and cloud deployments. I build complete AI products and APIs that are designed to scale not just research prototypes. Beyond implementation, I enjoy solving difficult research and engineering problems. Whether it's designing a predictive model, improving model accuracy, reducing inference costs, building an intelligent document processing pipeline, or deploying an LLM application, I focus on solutions that are reliable, maintainable, and practical for production. I also lead a team of AI engineers, giving me experience not only in technical execution but also in planning, code quality, mentoring, and delivering projects on time. If you're looking for someone who can understand the problem first, choose the right AI approach, and build a production-ready solution that balances performance, cost, and scalability, I'd be happy to help.