Hire the Best Computer Vision Engineers
in Vietnam

🔹 AI Engineer | Computer Vision | Edge AI | GPU Optimization | C++ Developer I’m an experienced AI Engineer specializing in Computer Vision with 5+ years of hands-on experience in: ✅ Image & Video Processing – OpenCV, custom algorithm development, real-time analytics ✅ Deep Learning Models – building, training, and deploying models to production ✅ Nvidia GPU Optimization – accelerating inference for high-performance applications ✅ C++ Application Development – real-time AI inference apps on edge devices (e.g., face recognition, posture monitoring, video analytics) ✅ Edge AI Deployment – converting & deploying models on Raspberry Pi, Jetson Nano, Jetson Orin for production-level solutions ✅ Android and iOS models development- training, converting, and implementing inference native code that runs on the device ✅ LLMs & MCP – experience working with large language models and advanced AI systems 💡 I’ve worked on projects ranging from self-driving cars to face recognition systems, always focusing on creating practical, real-world solutions. ✨ What you can expect when working with me: Clean, efficient, and optimized code (Python & C++) End-to-end AI solutions: from research & prototyping to deployment Clear communication and a collaborative mindset I’m passionate about solving complex problems with AI and enjoy working with clients who want to bring cutting-edge technology into real-world applications. 🚀 Let’s work together to turn your idea into a production-ready AI solution!

Hello, I'm Tam 👋 - 7+ years of experience in Computer Vision, Deep Learning, and Generative AI. - Tech stack: Python, PyTorch, TensorFlow, OpenCV, FastAPI, Docker, CUDA, AWS, Modal, DeepStream, Javascript/TypeScript, NodeJS, NextJS, ReactJS, Electron, Tauri, PyQt - Built high-performance real-time object detection systems with NVIDIA DeepStream for edge and GPU deployment. - Developed OCR & document understanding pipelines for scanned documents, engineering drawings, and forms. - Built LLM/VLM-powered AI applications, including multimodal assistants, RAG systems, image analysis, and AI inference APIs. Let's turn your AI idea into a production-ready product.

If your model isn’t performing well, the problem is often the data — I help fix that. I specialize in data-centric computer vision systems: improving detection accuracy, reducing false positives, refining datasets, and deploying stable real-time AI pipelines on edge and mobile devices. I build end-to-end computer vision workflows from dataset preparation and model training to real-time Android deployment. What I help with: ✓ Reducing false positives and missed detections ✓ Dataset QA, cleaning, validation, and deduplication ✓ Improving label consistency across large-scale datasets ✓ Building feedback loops between model predictions and dataset correction ✓ Embedding-based similarity and clustering for duplicate detection ✓ Segmentation mask processing and structured object extraction ✓ Real-time object detection and tracking systems ✓ Improving tracking stability and frame-to-frame consistency ✓ Edge/mobile AI inference optimization ✓ Real-time Android deployment workflows Real-world experience: ✓ Built and deployed computer vision systems for fitness applications ✓ End-to-end pipeline development: dataset preparation → training → inference → Android deployment ✓ Real-time on-device inference pipelines ✓ Barbell tracking and repetition counting ✓ Skeleton-based motion analysis ✓ Equipment classification and tracking consistency ✓ Turning raw detections into stable, usable systems Technical stack: ✓ YOLO (training, fine-tuning, evaluation) ✓ OpenCV, PyTorch, Ultralytics YOLO, SAM ✓ TensorFlow Lite (TFLite) and ONNX deployment workflows ✓ Android Studio, CameraX ✓ CVAT, Label Studio, Roboflow, Labelbox, Supervisely ✓ QGIS, GeoTIFF, GeoJSON, MultiPolygon

I'm an AI Engineer specializing in Computer Vision and Machine Learning solutions for businesses of all sizes. If you need custom AI models deployed on cloud or edge devices, I deliver robust, production-ready solutions that drive real results. * Expertise in Computer Vision: Object Detection, Image Segmentation, Human Pose Estimation, Action Recognition, and Face Anti-Spoofing. * Deep Learning Frameworks: PyTorch, TensorFlow, OpenVINO, Hugging Face Transformers, with TensorRT optimization. Generative AI & LLMs: RAG systems, prompt engineering, and Azure OpenAI integration for intelligent applications Cloud & Edge Deployment: Azure, GCP, Docker, Kubernetes - from research to production with CI/CD pipelines Enterprise Experience: Successfully delivered projects for Intel, Secom, Nikon, and government agencies Full-Stack AI Solutions: From data processing and model training to deployment and maintenance Clear communication and regular updates are essential to my workflow. I believe in keeping clients informed at every stage, ensuring your project meets expectations and deadlines

AI Engineer with 5+ years of expertise in computer vision and deep learning. Experienced in leading technical teams, building production ML systems, and implementing MLOps best practices. Passionate about leveraging cutting-edge AI technologies to solve complex business challenges.

👋 Hi, I'm Khang! AI Engineer & Backend Developer with 4+ years of experience in building scalable systems and intelligent solutions. ⚡ Strengths: - AI & Computer Vision: image processing, automation, and applied ML/LLM - Backend Development: Python/Java, microservices, RESTful & GraphQL APIs, real-time systems - DevOps & Deployment: Docker, AWS, CI/CD, monitoring & scaling - Solo Dev Mindset: from idea → architecture → implementation → production 💡 I love turning complex problems into elegant, efficient solutions. Open for collaborations, freelance projects, and innovative ideas. 🚀