Hire the Best Computer Vision Engineers
in South Korea

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.

⭐ Expert Vetted | Top Rated Plus — Top 1% on Upwork 👨‍💻 Founder & CEO, HumbleBeeAI 🥇 AI Professor, Gachon University 🏆 PhD in Artificial Intelligence | 12+ years of experience Short Overview (for a busy client) I am an AI Engineer, Machine Learning Specialist, and Full‑Stack Developer with 12+ years of experience delivering production-grade AI systems, LLM solutions, intelligent chatbots, and computer vision applications for startups and enterprises worldwide. I have helped more than 70 companies across the US, Europe, and the Middle East launch scalable AI products and generate over $5M in additional value through automation, predictive systems, and generative AI–driven features. As Founder & CEO of HumbleBeeAI and AI Professor at Gachon University, I combine deep research expertise with hands-on product delivery, focusing on solutions that are robust, explainable, and directly tied to business KPIs. If you need someone who can design, build, fine‑tune, and deploy real AI systems—not just prototypes or demos—I can own the full lifecycle from idea to production. LLMs, Generative AI & Chatbots LLM fine‑tuning and custom model training (LLaMA, LLaMA‑2, BLOOM, OPT) Prompt engineering and workflow optimization for reliability and cost-efficiency RAG systems using LangChain, FAISS, ChromaDB for private / enterprise search AI chatbot development and multi‑step automation agents API‑based AI integrations for web and mobile products Common use cases: AI assistants, document intelligence, knowledge‑base bots, SaaS AI features, internal productivity tools, and automated business workflows. Computer Vision Expertise Object detection and tracking (YOLO, OpenCV, custom deep learning models) OCR and document-processing pipelines Face recognition and biometric identification systems Image segmentation, classification, and visual analytics Video intelligence pipelines for real-time monitoring and alerts AR/VR vision‑based applications Ideal for: industrial monitoring, security and surveillance, retail analytics, document automation, and smart cameras. Machine Learning & AI Engineering Predictive modeling and forecasting (churn, demand, risk, pricing) NLP systems and text analytics Time‑series modeling and anomaly detection Reinforcement learning for decision-making and control Data pipelines and MLOps, CI/CD for ML AI automation tools and agentic workflows AI‑powered dashboards and insight products I prioritize clean data pipelines, reproducible experiments, and scalable deployment from day one. Full‑Stack & AI Product Development Frontend: React, Angular, Flutter, Streamlit, Tailwind, Figma Backend: Node.js, Django, Flask, .NET, REST APIs Databases: MongoDB, PostgreSQL, MySQL, Firebase, SQL Server Cloud & DevOps: AWS, GCP, Azure, Docker, Kubernetes, Nginx, Heroku I can deliver end‑to‑end AI products—from MVP to production at enterprise scale—without heavy dependency on additional engineering teams.

33+ Successful Projects • 100% Job Success Top Rated 🎯 Computer Vision — YOLOv8/11, Faster R-CNN, U-Net, DeepLabV3+ 📍 Multi-Object Tracking — SORT, DeepSORT, ByteTrack 💬 LLM Applications — RAG, LangChain, Hugging Face, LoRA/QLoRA ⚡ Real-Time AI Deployment — OpenCV, PyTorch, TensorFlow 📈 Scalable Search — FAISS, vector DBs for face & document retrieval 🤖 LLM-Powered Telegram Bots — intelligent assistants & automation Why Work With Me 🟢 25+ successful projects with 100% Job Success (Top Rated) 🟢 Up to 90% automation through AI & workflow optimization 🟢 Scalable, production-grade systems (millions of records, real-time pipelines) 🟢 True end-to-end delivery — strategy → data → model → deployment 🟢 On-time delivery with measurable business impact 🟢 Clear, reliable communication throughout the project 📩 Message me for a free consultation — I’ll help you outline the best technical approach for your project.

Hi! 👋 I’m Uktam, an AI/ML Engineer specializing in Real-Time Computer Vision, YOLO-based Object Detection, Object Tracking, and Cloud + DevOps deployment. I enjoy turning complex AI ideas into fast, reliable, production-ready systems. I’ve recently worked as a Computer Vision Engineer, where I helped build and deploy a real-time Generative AI Talking-Head system with ~1.5s latency in live environments. I integrated NeRF-based facial animation, optimized GPU performance, and built a scalable backend using AWS, Docker, FastAPI, Redis, NGINX, LiveKit, and other cloud technologies. If your project involves real-time video AI, low latency, or scalable cloud pipelines, I can help. I also led a Proof-of-Concept for an Action Recognition system, designing an end-to-end ML pipeline for detecting 1-second fast movements using: YOLO Pose / OpenCV Pose ST-GCN 1D/3D CNNs Frame differencing Jetson Orin Nano optimization This hands-on work strengthened my expertise in pose estimation, temporal modeling, lightweight models, and edge deployment. Alongside Computer Vision, I have practical experience with NLP and RAG (Retrieval-Augmented Generation), including building a small RAG-based QA system using FAISS, embeddings, and Sentence Transformers. ✔ What I Can Help You With YOLO Object Detection & Object Tracking Real-Time Video AI (low latency pipelines) Pose Estimation & Action Recognition Generative AI (Talking-head, NeRF, lip sync) Edge Deployment (Jetson Orin Nano, Raspberry Pi) Cloud & DevOps (AWS, Docker, CI/CD, Redis, NGINX) FastAPI or REST API development for AI services RAG / NLP pipelines (embeddings, FAISS, LLM integration) ✔ Why Work With Me? I’m friendly, fast to respond, easy to collaborate with, and I love building reliable, well-structured AI systems. Whether you need a quick prototype or a production-ready pipeline, I can support the full process—from data to modeling, to deployment. If your project involves AI, Computer Vision, Real-Time systems, Cloud/DevOps, or building scalable AI services, feel free to reach out. I’d be happy to help! 🚀