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✅ Skilled Machine Learning Engineer with experience in applying AI to behavioral science, vision analysics, , agriculture, and computer vision, including the latest generative AI solutions. Focused on improving tools to maximize productivity, reduce latency, and adapt to business needs, with expertise in full Mlops implementation. If you are looking for guidance or complete project under the below domains. ➡️ Generative AI for your purpose: Can enhance, search do literatures review for better generative model for your use whether from text/video/audio or multimodal domains. ✅ Experiment different models from hugging face with better prompt engineering techniques and benchmark them ✅ Finetune using Lora, Qlora, and other complex architectures for resolving your problem on custom dataset ✅ For image generation finetune Stable diffusion using Dreambooth for better understanding. Comfy UI and replicate for easier flow of image generation pipeline ➡️ LLM: Deepseek, gpt, claude, llama, including pretraining, finetuning, prompt engineering, RAG approaches ➡️ Multimodal LLM: LLama 3.2, Multimodal RAG, LLAVA for vision task, Florence ➡️ Video Analysics: Merging of different deep learning and transformer based architecture for understanding of videos of sports, scenes, advertisements, action analysics etc ➡️ AI Agents: Agentic AI to solve the time taking work, CrewAI ➡️ AI workflow and Automations: No code automations tools like gumloop, make.com and N8N. Triggering specific events to provide you a new assistant. ➡️ Computer Vision: Text to image models, Object detection, and facial recognition etc. I am proficient in OpenCV, TensorFlow, PyTorch, and other. Amazon Rekognition. Transformer based (CLIP, SAM, YOLO World) ➡️ Natural Language Processing (NLP): Large Language models and transformers , AI chatbot, ChatGPT, BERT, SQUAD. Pretraining, Fine tuning, RAG based, prompt engineering ➡️ Data Science: I am proficient in data analysis, data visualization, and machine learning. I have experience in building predictive models, clustering algorithms, and recommender systems ➡️ AI Projects: Any AI, machine learning or deep learning project you have in mind Projects under the domain of Agri tech, finance, stocks exchange, business, manufacturing, transportation and health care. ❇️ Libraries tools: Pandas, Matplotlib, numpy, tensorflow, OpenCV, Langchain, NLTK, spacy, Pytorch, sklearn, FastAPI, mlflow, DVC, dagshub, Github CICD, Docker, langchain, hugging face, comfy UI, Replicate ❇️ Cloud deployment: Runpod, Heroku, Azure Devops AWS, Sagemaker, Azure , server less gpus architecture and more

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 build real-time AI systems that detect threats, track objects, and turn video into actionable insights ready for real-world deployment. If you need a reliable Computer Vision solution (not just a demo), I can design, train, and deploy it end-to-end. 🎯 What I Do I specialize in building production-ready Computer Vision systems that work in real environments not just controlled demos. From surveillance and safety to traffic analytics and automation, I help businesses turn video data into practical, usable intelligence. 🔧 Solutions I Build ✔ Real-Time Object Detection (YOLOv8 / YOLO11) ✔ Multi-Object Tracking (ByteTrack, DeepSORT) ✔ Surveillance & Threat Detection Systems ✔ Fire & Smoke Detection ✔ PPE / Safety Compliance Monitoring ✔ Traffic Monitoring & Speed Estimation ✔ OCR & Document AI ✔ End-to-End AI Systems (Data → Training → Deployment) 🧠 Why Clients Choose Me Most freelancers stop at training a model. I go further — I build complete systems that actually work in production. ✔ Optimized for real-time performance (high FPS, low latency) ✔ Designed for real-world conditions (low light, fog, motion blur) ✔ Strong focus on data quality & annotation (where most projects fail) ✔ Clean, scalable, deployment-ready code 💡 Most Computer Vision models fail outside the lab — I make sure yours doesn’t. 📊 Selected Projects 🔫 Real-Time Weapon Detection & Tracking AI-powered surveillance system for detecting and tracking firearms in live video streams → Helps improve security response time and monitoring 🔥 Real-Time Fire & Smoke Detection (107 FPS) Early hazard detection system designed for fast response in critical environments → Detects fire/smoke in real-time to reduce risk and damage 🦺 Construction Safety Monitoring (PPE Detection) Helmet detection system with live violation alerts → Improves worker safety and compliance on-site 🚗 Vehicle Speed Estimation System Tracking-based system for real-time speed analysis from video → Useful for traffic monitoring and smart city solutions ⚙️ Tech Stack AI / Deep Learning: PyTorch, YOLO (v8, v11), TensorFlow Computer Vision: OpenCV, real-time video processing pipelines Tracking: ByteTrack, DeepSORT Deployment: FastAPI, Flask, Docker, GPU acceleration Language: Python 🎬 What You Can Expect ✔ Demo available before starting ✔ Clean, well-documented code ✔ Fast communication & regular updates ✔ Scalable solutions ready for deployment ✔ Support with real-world challenges (lighting, motion, noise) 💡 How I Work I follow a complete pipeline: Data Collection → Annotation → Training → Optimization → Deployment You don’t just get a model you get a working system ready to use. 📩 Let’s Build Something Real Have an idea or project in mind? 👉 Send me a message I’ll break down the best approach and can even share a quick demo or plan before you commit.

With 20+ years of industry experience (10+ years in embedded systems), I build high-performance real-time video and computer vision solutions. I specialize in: RTSP, WebRTC, and low-latency streaming GStreamer, FFmpeg, OpenCV pipelines Embedded Linux development (Raspberry Pi, Orange Pi, Jetson) Multi-camera systems, video recording, and synchronization AI-based video analytics (YOLO, RKNN, edge AI) I have delivered production-grade systems including: Real-time multi-camera streaming and recording platforms AI-powered video analytics solutions Embedded vision systems with hardware acceleration End-to-end video pipelines (capture → process → encode → stream) My focus is always on performance, reliability, and scalability — especially in resource-constrained embedded environments. If you need a practical expert who can bridge camera hardware, video pipelines, and real-world deployment, I can help.

With 5+ years of experience and 150+ successful projects, I help businesses build high-performance Computer Vision and AI Agent systems that work in production — not just in theory. 🚀 What I Build ✔ AI Agents & Automation Pipelines (OpenClaw, LangChain, CrewAI, AutoGen) ✔ Semantic Search & RAG Systems using vector databases (FAISS, pgvector, OpenSearch) ✔ Personal AI Assistants with persistent memory & full system access ✔ Object Detection & Multi-Object Tracking (YOLO26, YOLOv12, YOLO11, YOLOv8, DeepSORT, ByteTrack, BOT-SORT) ✔ Real-Time Video Analytics & Surveillance Systems ✔ Face Recognition & Liveness Detection ✔ Image Segmentation (U-Net, DeepLabV3+, Semantic & Instance) ✔ OCR & Document AI (Tesseract, Google Document AI, PaddleOCR) ✔ Industrial Defect Detection & Quality Control ✔ Medical Image Analysis ✔ Traffic & Vehicle Detection Systems ✔ Retail Analytics & Customer Behavior Tracking ✔ Edge AI Deployment (Jetson, TensorRT, CUDA, Docker, AWS) ✔ Model Optimization (FPS, latency, memory efficiency) ⚡ What I Deliver ✔ End-to-end AI systems (data pipelines → model serving → deployment → monitoring) ✔ LLM and AI agent architectures (RAG, tool use, function calling, multi-agent workflows) ✔ Semantic search and vector database solutions (OpenSearch, FAISS, pgvector) ✔ Real-time computer vision systems (detection, classification, tracking, segmentation) ✔ Custom YOLO model training on your own dataset (YOLOv8, YOLO11, YOLO26) ✔ Multi-camera surveillance & smart monitoring systems ✔ Video analytics pipelines with real-time alerting & reporting ✔ Scalable AI infrastructure on AWS (SageMaker, EKS, Lambda, EC2) ✔ Production-grade APIs and backend services ✔ Optimization of existing AI systems (lower latency, reduced cloud costs, improved reliability) 🧠 Core Expertise Computer Vision · AI Agents · OpenClaw · Deep Learning · Machine Learning · Object Detection · Multi-Object Tracking · Image Segmentation · Real-Time AI · Video Analytics · OCR · Data Annotation · Edge AI · Generative AI · LLM Integration · RAG Systems 🛠 Tech Stack AI & Vision: PyTorch · TensorFlow · Keras · OpenCV · MediaPipe · YOLO variants · Faster R-CNN · Vision Transformers AI Agents: OpenClaw · LangChain · CrewAI · AutoGen · RAG · LLMs · GPT-4 · Gemini Tracking & Optimization: DeepSORT · ByteTrack · BOT-SORT · TensorRT · CUDA Backend & Deployment: FastAPI · Flask · Docker · AWS · Jetson · REST APIs 🌍 Industries I Serve Retail · Security & Surveillance · Healthcare & Medical · Industrial & Manufacturing · Traffic Management · Smart Cities · Agriculture · Sports Analytics 💡 Why 150+ Clients Chose Me ✔ 100% Job Success Score — Top Rated on Upwork ✔ 5+ years delivering real-world AI systems ✔ Production-ready, scalable solutions ✔ Strong optimization — high FPS, low latency ✔ Clear communication & on-time delivery 📩 Let's Work Together Looking to build a Computer Vision system, AI Agent, Object Detection model, or Real-Time AI solution? 👉 Message me now — I'll help you design the best approach and deliver a scalable, production-ready solution fast.

I build real-time computer vision systems that actually work in production, helping businesses reduce costs, automate monitoring, and eliminate human error. If you're dealing with missed defects, inaccurate counting, or unreliable surveillance systems, I can design and deploy AI-powered solutions that run efficiently on edge devices (Jetson, Raspberry Pi) or in the cloud. WHAT I BUILD FOR YOU ✅ Object Detection & Multi-Object Tracking (YOLOv5, YOLOv8, ByteTrack, DeepSORT, BOTSort) ✅ Real-Time Video Analytics — people counting, crowd monitoring, heatmaps ✅ Industrial Inspection & Defect Detection (manufacturing QA automation) ✅ Smart Surveillance Systems — intrusion detection, zone monitoring, alerts ✅ OCR & Document AI — license plates, barcodes, form data extraction ✅ Face Recognition & Identity Verification Systems ✅ Custom Computer Vision Models — training, fine-tuning, evaluation EDGE AI & DEPLOYMENT (MY CORE STRENGTH) ✅ NVIDIA Jetson (Nano, Orin), Raspberry Pi, Hailo deployment ✅ TensorRT, ONNX optimization (low latency, high FPS) ✅ OpenCV real-time pipelines & video processing ✅ FastAPI / REST APIs / Docker-based deployment ✅ Cloud + GPU inference APIs (AWS-ready systems) I don’t just train models, I build complete, production-ready systems optimized for real-world constraints. REAL-WORLD SOLUTIONS I’VE BUILT ✔️ Real-time fall detection system on NVIDIA Jetson ✔️ Industrial defect detection pipelines for manufacturing ✔️ Zone monitoring & object tracking systems ✔️ Optimized inference pipelines using TensorRT + ONNX INDUSTRIES I WORK WITH Retail Analytics | Industrial QA | Smart Security | Healthcare Imaging Logistics & Warehousing | Agriculture | Smart Cities | Surveillance Wild life and Geo images analysis HOW I WORK 1. Understand your use case & define success metrics 2. Design system architecture (model + pipeline + deployment) 3. Build, optimize, and test with real-world data 4. Deliver scalable, production-ready solutions WHY CLIENTS CHOOSE ME ✔️ Production-focused (not just demos) ✔️ High-performance systems (low latency, optimized FPS) ✔️ Clean, maintainable, scalable code ✔️ Clear communication & reliable delivery ✔️ Long-term support after deployment If you need a computer vision engineer who understands both AI models and real-world deployment challenges, let’s talk. 📩 Message me with your use case, and I’ll suggest the best approach for your project.