Hire the Best OCR Algorithms Specialists

Over the last 7 years, I have developed a wide range of computer skills like Data Entry, Online Accounting, Intuit QuickBooks, Xero, Account Management, Microsoft Excel, Microsoft Word, Administrative Support, PDF Conversion for individuals companies and small businesses companies. My core competency lies in quality assurance upon me. I have vast experience in the following areas: ✔Accounting ✔MS Office ✔Internet Research ✔Article writing ✔Administrative Supports ✔Image Manipulation (Adobe Photoshop ) ✔Vector Image (Adobe Illustrator ) ✔VBscript ✔AFL (Amibroker Front Language ) ✔Translation English to Bengali I am fluent in English, so I can communicate with clients easily. I am pretty flexible with respect to working hours. Deadlines are sacred for me and always ready to review your work as many times as it takes to exceed your expectations! And therefore, I offer money back guarantee if my client is still unsatisfied.

Most Machine Vision projects fail between the prototype and production. I've shipped 54+ that didn't. ⚙️YOLO Detection | Pose Estimation | Object Tracking | AI Agents | LLM Integration Sports & Fitness AI | CCTV & Surveillance AI | Retail AI | Healthcare AI You have a working concept... or a clear problem involving cameras, video, or image data. The challenge is making it fast, accurate, and stable under real-world conditions. Wrong framework choices. Inference too slow for live video. Models that break the moment lighting, angle, or environment changes. And systems that detect things but can't reason about them or act on them autonomously. That's exactly where most builds stall. I design and build real-time computer vision pipelines that go all the way... from model training to live deployment... and increasingly, from visual perception to autonomous AI agents that understand, decide, and narrate. LLM APIs (OpenAI, GPT-4o, Gemini, Claude) | AWS (EC2, S3, Lambda) | Azure Cloud Services | MLOps & API Integration | Model Deployment & Scaling While most CV engineers stop at training the model, I go further: → High-speed inference optimization using TensorRT, ONNX, OpenVINO, FP16/INT8 (up to 5× faster) → LLM agents integrated with vision pipelines for alerts, reasoning, and automation → Mobile AI deployment using Core ML (iOS) and TFLite (Android) with 10+ shipped apps → Edge AI deployment on Jetson, OpenVINO, CUDA, and embedded systems → End-to-end pipelines: data → training → optimization → real-time deployment Key Accomplishments: ⭐ $5M+ revenue from AI solutions ⭐ 100+ computer vision systems delivered ⭐ Built and launched 2 SaaS products ⭐ Real-time sports AI (7+ sports, 15+ teams) ⭐ 10+ mobile AI apps (iOS Core ML, Android TFLite) ⭐ Production AI for surveillance, industrial & safety use cases ⭐ Medical imaging AI deployed in 5+ hospitals ⭐ Up to 5× faster inference (ONNX, TensorRT, FP16/INT8) ⭐ Large-scale tracking & re-ID (1M+ labeled data) ⭐ Agentic AI systems for autonomous decision-making If you have read this far, please note that I appreciate you taking the time to learn about me. Personally, it’s been an amazing journey and knowledge exercise to get to this level of competence in AI and software development. Domain Expertise: ✅ athlete tracking | shot detection | scoring | drill analysis | pose estimation ✅ defect inspection | PPE compliance | staff monitoring | meter reading | quality control ✅ ANPR | crowd monitoring | people counting | intrusion detection | perimeter security ✅ tumor detection | ultrasound | X-ray/CT analysis | lesion segmentation | medical imaging ✅ aerial monitoring | traffic flow | license plate recognition | vehicle & accident detection ✅ customer analytics | receipt extraction | shelf monitoring | inventory tracking Tech Stack: YOLOv5–YOLOv8–YOLOv11, Detectron2, MMDetection, DeepSORT, StrongSORT, MediaPipe, OpenPose, Pose Estimation, Action Recognition, Segmentation (semantic & instance), OCR, anomaly detection, object tracking, PyTorch, TensorFlow, TFLite, Core ML, OpenCV, FastAPI, Flask, ONNX, TensorRT, OpenVINO, CUDA, AWS, Azure, GCP, edge AI, mobile AI, real-time inference, video analytics, AI automation, LLM integration (GPT-4o, Claude, Gemini, Groq), LangChain, LangGraph, CrewAI, RAG systems. 💬 If your project involves cameras, video, or images... and you need it fast, accurate, fully deployed, and intelligent enough to reason and act autonomously... I am the engineer you are looking for.

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 build AI systems that survive production — not demos that impress once and break under real users. As CTO at two AI companies (Quickgen Technologies and QuickComm AE), I architect and ship LLM, computer vision, and real-time systems for startups and enterprise clients. 6+ years of experience. MS in Computer Science (NUST). WHAT I BUILD AI Agents & LLM Systems Multi-agent workflows (LangChain, LangGraph, CrewAI), RAG pipelines with vector search, and production integrations with Gemini, GPT, Whisper, and Deepgram — including real-time streaming pipelines under 300ms latency. Computer Vision & Edge AI Object detection and tracking (YOLOv8), OCR pipelines, and edge deployment on constrained hardware for IoT and wearable products. Full-Stack & Cloud Infrastructure FastAPI, Flask, and Django backends, PostgreSQL, Redis, WebSocket-based real-time systems, and CI/CD deployment on Azure and AWS. Mobile & IoT Offline-first apps in React Native and Flutter, with BLE/hardware integration for connected products. PROVEN IN PRODUCTION Recent work includes a real-time AI voice platform processing live speech with sub-300ms latency (QuickComm), an IoT rehabilitation platform combining wearable sensors with ML-driven motion

Training the model is the easy part. The real challenge begins when the prototype has to be deployed. My philosophy is straightforward: I don't stop when the model works; I keep going until the solution works. Commercial projects taught me that clients rarely remember a model's accuracy—they remember whether the solution solved their problem. 1. What I build ▸ Computer Vision: object detection, image classification, face recognition, tracking, segmentation, OCR, anomaly detection ▸ Intelligent Surveillance: face recognition, access control, CCTV analytics, people counting, event detection, real-time monitoring ▸ AI Deployment & Integration: MQTT, REST APIs, Docker, FastAPI, real-time streaming, event-driven architectures ▸ Edge AI: NVIDIA Jetson, Raspberry Pi, TensorRT, ONNX, optimized real-time inference ▸ Data Science & Machine Learning: predictive modeling, feature engineering, data preprocessing, model evaluation, statistical analysis, SQL ▸ AI Applications: intelligent inspection, agricultural AI, industrial vision, workflow automation ▸ Core Technologies: Python, OpenCV, TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy, SQL 2. Real work I have shipped • Real-time Face Recognition & Access Control Developed in collaboration with Milesight and Fartak, delivering a real-time, multi-camera face recognition platform capable of processing live IP camera streams with automated access control through MQTT. • Intelligent Irrigation Management Platform Designed for Fartak and a metropolitan municipality, integrating ESP32 IoT sensors, environmental monitoring, and machine learning to automate irrigation planning and optimize water usage across a 30*20 km green space. • Smart Vineyard Monitoring Platform Developed a computer vision solution for a smart vineyard, analyzing camera feeds to detect grapevine diseases, map disease distribution across the farm, and provide actionable insights for early intervention and crop management. 3. How I Work ✓ Clarify requirements upfront to eliminate misunderstandings before development begins ✓ Communicate proactively with regular progress updates ✓ Adapt quickly to changing requirements while keeping the project on track ✓ Every architectural decision is made with long-term scalability in mind—not just today's requirements. ✓ Optimize for business impact before technical complexity. ✓ Treat every project as a long-term product, not a one-time delivery. Every successful project starts with a clear understanding of the problem. Whether you're building a new computer vision system or improving an existing one, I'd be glad to discuss your project and see if we're the right fit.

I design and build production-grade AI systems that help startups and businesses automate workflows, deploy intelligent applications, and scale with confidence. From LLMs and AI agents to RAG, computer vision, and edge AI, I transform AI concepts into reliable, production-ready solutions. As a PhD Candidate in Artificial Intelligence and hands-on AI Engineer, I combine advanced AI research with practical engineering to deliver systems that perform beyond the prototype stage. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🤖 WHAT I BUILD ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▸ AI Agents & Agentic Workflows ▸ Retrieval-Augmented Generation (RAG) Systems ▸ AI Assistants & Intelligent Chatbots ▸ LLM Fine-Tuning & Custom AI Models ▸ Multimodal AI Applications ▸ Computer Vision Systems ▸ OCR & Document Intelligence Solutions ▸ Edge AI & Embedded Intelligence ▸ Custom Machine Learning Solutions ▸ AI-Powered Automation Workflows ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚙️ WHAT I SPECIALIZE IN ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ → End-to-End AI Development Research, experimentation, prototyping, deployment, and continuous improvement. → Production AI & MLOps Model deployment, API development, Docker, CI/CD pipelines, monitoring, and scalable infrastructure. → AI Optimization & Efficiency Model compression, quantization, pruning, latency reduction, and efficient inference for resource-constrained environments. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🚀 FEATURED PROJECT ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ NemaNet — Embedded AI for Plant-Parasitic Nematode Detection Founder and lead AI engineer behind an AI-powered agricultural computer vision system optimized for embedded devices. Designed, trained, optimized, and deployed deep learning models for accurate, real-time detection on resource-constrained hardware, transforming research into a practical field-ready solution. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🛠 TECHNOLOGIES ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Programming: Python • SQL AI & Deep Learning: PyTorch • TensorFlow • Hugging Face • Transformers • OpenCV • Scikit-learn LLMs & Agentic AI: LangChain • LangGraph • LlamaIndex • OpenAI • Ollama • vLLM Backend & Deployment: FastAPI • Docker • Kubernetes • REST APIs • Git • CI/CD Vector Databases: FAISS • Pinecone • Qdrant • ChromaDB Cloud Platforms: AWS • Azure • GCP ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🎯 WHY CLIENTS WORK WITH ME ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ✓ Research-backed AI expertise combined with production engineering experience. ✓ Ability to take projects from initial idea and experimentation to deployment. ✓ Experience building LLM, RAG, Agentic AI, Computer Vision, and MLOps solutions. ✓ Focus on reliable, scalable, and cost-efficient AI systems. ✓ Clear communication and engineering practices designed for long-term success. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ If you need an AI engineer who can bridge advanced AI research with production-ready engineering, I would be happy to discuss your project and help turn your ideas into scalable AI solutions.