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🔹 Top Rated Machine Learning Engineer | Expert in Detection, Tracking, Classification & OCR I specialize in building high-accuracy computer vision models — from object detection and classification to keypoint detection and OCR. With deep experience in YOLO (v8–v11), TensorFlow, and PyTorch, I’ve delivered results across industries including healthcare, logistics, and agriculture. 🚀 Highlighted Projects: 🔍 License Plate Recognition & Number Swapping — for Korean and Kazakh vehicles 🏥 COVID-19 & Viral Pneumonia Detection — 95%+ accuracy using X-ray images 🍎 Fruit Detection (Apple, Peach, Potato) — precision object detection with YOLO 📄 OCR & Keypoint Detection — paper/card ID localization and tracking 🏎️ Speed Estimation & Vehicle Tracking — model fusion using YOLO + Deep SORT ⚙️ Core Skills & Tools: YOLOv5/v8 | TensorFlow | PyTorch | OpenCV | ONNX Object Detection, Classification, OCR, Keypoint Detection High-speed model training on RTX 4080 Super As a Top Rated freelancer, I deliver clean, efficient, and production-ready models on time and with clear communication. Let’s bring your vision to life. 📩 Message me — I respond quickly and build fast.

Do you have an AI vision that needs to become a real, working product? I don't just build models; I engineer complete, scalable solutions that turn data into actionable insights and automation. For over five years, I've specialized in bridging the gap between cutting-edge Artificial Intelligence (AI) research and robust software that delivers real-world value. My core expertise lies in computer vision and machine learning, but my skill set is full-stack. This means I can own your project from the initial data pipeline, through model training and optimization, all the way to deploying a polished desktop application or a secure enterprise API. I thrive on building tools that work seamlessly for end-users, whether it's a retail manager, a traffic controller, or a sports coach. My strongest suit is developing intelligent systems that "see" and understand the world. I've built a retail analytics platform (CrowdIQ) that transforms standard CCTV into a source of business intelligence, tracking customer demographics and behavior. In the sports domain, I created PadelIQ, an analytics engine that uses computer vision to track player movement, posture, and court coverage from match footage, providing real-time coaching feedback. For public safety, I developed a traffic management system (OmniRoad AI) using advanced object detection for real-time accident and congestion monitoring. Beyond computer vision, I architect full-scale data science pipelines. A prime example is my telecom churn prediction project, where I built a machine learning model to identify at-risk customers and paired it with an interactive Power BI dashboard. This end-to-end approach—from data analysis to a clear visualization of insights—ensures the model's findings directly inform business strategy and retention actions. I also develop the tools and infrastructure that power AI applications. I've built secure, enterprise-grade systems like DevelmoGPT, a RAG-based LLM that allows for secure, semantic search over private company documents. From creating simple utilities like PDF-to-audio converters to designing complex role-based access systems, I ensure the foundation of any AI solution is reliable, secure, and maintainable. My process is collaborative and results-driven. I start by deeply understanding your business problem, not just the technical requirement. We'll then iterate through prototyping, development, and testing to ensure the final product not only meets specs but also delivers tangible ROI. I communicate clearly at every stage, providing demos and documentation so you're never in the dark. Let's connect. Share your project idea or challenge, and I'll provide a clear outline of how we can leverage AI, machine learning, or computer vision to build your intelligent solution. Click the invite button to start the conversation. /// The following is just for SEO. You can ignore it /// #computer vision #computer vision engineer #computer vision OpenCV #machine learning computer vision #deep learning computer vision #computer vision machine learning #machine learning python #nlp machine learning

Since 2013, we’ve been building and deploying cutting-edge solutions at the intersection of artificial intelligence (AI), mixed reality (MR), and augmented reality (AR). Our products have supported clients in defense, healthcare, nuclear power, sports, and consumer tech—delivering real-world impact across industries. What We Do Best: 🔍 AI-Driven Computer Vision We design and deploy custom models for object detection, facial recognition, image segmentation, pose estimation, and depth sensing. Our team works with Apple’s Vision framework, YOLO, TensorFlow, CoreML, MediaPipe, and OpenCV—optimized for mobile, edge, and embedded systems. 🚀 OpenClaw ClawdBot Early Innovator! I created the first OpenClaw governance and safety layer (like antivirus but for controlling AI Agents) called ClawBoss.ai . It deterministically blocks unauthorized agent actions, secures users API keys, tokens, etc. and even anonymizes their personal information. 🧠 Machine Learning at the Edge From real-time inference on mobile devices to on-device learning for AR headsets and IoT sensors, we specialize in bringing intelligence to constrained environments—without reliance on the cloud. 🛠 Cross-Platform Spatial App Development Whether it’s ARKit on iOS, RealityKit on Vision Pro, or MRTK on Hololens, we bring ideas to life with a robust technical stack: Swift, Flutter, Unity 3D, Python, and more. We’ve built camera-based systems, gesture controls, UWB positioning features, and context-aware spatial workflows. 🧬 Human Behavior & Emotion Tracking We’ve built AI pipelines for facial expression classification, gaze detection, and skeletal tracking, applied in high-stakes domains like defense, public safety, and professional sports. 🚀 Rapid Prototyping & Productization We go beyond demos. Our team takes concepts from wireframes to working prototypes—and then all the way to deployed systems used in the field. Clients often tap us for technical validation, pilot programs, and IP-generating innovations. Let’s talk about how we can bring your next AI + AR project to life—efficiently, creatively, and with future-proof architecture.

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 design, optimize, and integrate real-time object detection and tracking pipelines for NVIDIA Jetson, RK3588, and cloud environments — with measurable gains in FPS, latency, and deployment stability. From YOLO training to TensorRT optimization and production integration, I build Computer Vision systems that work reliably on real hardware. If you need more than just a trained model — if you need a working AI system integrated into hardware or software — I deliver complete, production-ready solutions. 🎯 WHAT I DELIVER • End-to-End Deep Learning Pipelines Model architecture → dataset optimization → training → evaluation → deployment • Real-Time Object Detection & Multi-Object Tracking Optimized YOLO pipelines with stable tracking (DeepSORT / ByteTrack / BOT-SORT) • ⚡ Edge AI Acceleration & Performance Optimization TensorRT conversion, CUDA acceleration, latency reduction, memory tuning, FPS improvements • 🔗 AI Integration into Production Systems Jetson deployment, inference APIs, embedded integration, debugging, monitoring & system optimization 🏆 PROVEN EXPERIENCE • 5★ Upwork reviews for NVIDIA Jetson Nano, AGX & Orin deployments • Deployed Frigate and real-time CV pipelines on Jetson Orin NX • Optimized inference performance using TensorRT for improved real-time execution • Installed and configured LLM environments with secure key management & usage tracking • Research & production AI deployment experience at HBrain 🛠 TECH STACK Deep Learning: PyTorch, CNN architectures, YOLO variants Computer Vision: OpenCV, real-time video processing, detection & tracking Optimization: TensorRT, CUDA Systems: Linux, Embedded Systems, NVIDIA Jetson Languages: Python, C++ If you share your hardware target, dataset sample, or performance goal, I can propose a clear technical architecture and realistic delivery plan.

AI Engineer specializing in production LLM systems, Agentic AI, RAG, and Edge AI deployments. I build AI systems that go beyond prototypes — scalable, observable, and production-ready applications designed for reliability and real-world usage. My experience spans multi-agent systems, real-time Voice AI, advanced RAG pipelines, NVIDIA Jetson edge deployments, and computer vision systems, with a strong focus on latency optimization, workflow durability, and system observability. 🚨 Common AI Problems I Solve → Hallucinations and unreliable retrieval → Slow streaming and high-latency inference → Agents losing memory, context, or execution state → Poor observability and difficult debugging → AI demos that fail in production environments ✅ Production-Focused Solutions → Durable agent workflows using Temporal & DBOS → Advanced RAG pipelines with hybrid retrieval and reranking → Full tracing and observability for agents, tools, and LLM workflows → Real-time streaming architectures for Voice AI and conversational systems → Edge AI optimization on NVIDIA Jetson using TensorRT & DeepStream Core Expertise 🤖 Agentic AI & Multi-Agent Systems → Multi-agent orchestration and tool-use systems → LangGraph, LlamaIndex, AutoGen, Google ADK, PydanticAI → MCP servers, memory systems, planning, and HITL workflows 🔍 RAG & LLM Systems → Production RAG pipelines and knowledge-base AI → Hybrid search, reranking, embeddings, and retrieval optimization → GPT-4o, Gemini, Claude, LLaMA, Qwen, multimodal systems 🎙️ Real-Time Voice AI → Stateful voice agents with streaming audio pipelines → WebSocket-based low-latency architectures → Gemini-native voice agents and conversational workflows 👁️ Edge AI & Computer Vision → NVIDIA Jetson Orin/Nano deployments → YOLO, OCR, segmentation, tracking, and video analytics → TensorRT, DeepStream, edge inference optimization 🌐 Backend & Infrastructure → FastAPI, Django, REST APIs, WebSockets → PostgreSQL, Neo4j, Redis, vector databases → Docker, scalable deployment pipelines, event-driven systems ⭐ Selected Projects ✓ Conversena — Arabic conversational commerce AI with multi-agent workflows, hybrid RAG, multimodal search, and persistent memory ✓ VidEduGen — Multi-agent AI platform for automated educational video generation using scalable event-driven architecture ✓ Real-time Edge AI System — NVIDIA Jetson-based multi-camera vision pipeline with OCR, TensorRT, and DeepStream optimization ⭐ Why Clients Work With Me ✔ Production-first engineering mindset ✔ Strong expertise in Agentic AI and scalable LLM systems ✔ Real-world experience with Voice AI and Edge AI deployments ✔ Clear communication and maintainable system design If you’re building: → AI agents or multi-agent systems → RAG or knowledge-base AI applications → Voice AI or conversational systems → Edge AI / NVIDIA Jetson deployments → Computer vision or real-time AI pipelines I can help you design and ship a reliable production-grade AI system. 📩 Feel free to message me to discuss your project.