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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.

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

$700K+ delivered on Upwork across 145 projects with a 100% Job Success Score. I architect and ship production AI systems, Voice AI agents handling live calls under 2-second latency, computer vision platforms processing 8M+ daily events, and full-stack products running in production for years. What I build: 𝗩𝗼𝗶𝗰𝗲 𝗔𝗜 & 𝗖𝗼𝗻𝘃𝗲𝗿𝘀𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗔𝗴𝗲𝗻𝘁𝘀 Real-time voice pipelines combining speech-to-text, LLM reasoning, and natural voice synthesis. I built SloanConnect, an AI telephony platform that automates insurance verification calls end-to-end, navigates IVR systems, holds dynamic conversations with representatives, and scales to hundreds of concurrent calls. Sub-2-second response time, encrypted compliance handling, production-stable. 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻 𝗮𝘁 𝗦𝗰𝗮𝗹𝗲 Lead AI Engineer on two production CV platforms: Adlytic - privacy-safe in-store retail analytics with GDPR-compliant pipelines, heatmaps, and POS integration, and SportsEye - real-time soccer analytics from broadcast feeds with 96% accuracy across player tracking, field mapping, and tactical metrics with zero on-field hardware. 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 Hybrid recommendation engines on PySpark processing 8M+ daily impressions. NLP and sentiment systems wired into live dashboards. Healthcare process automation with HIPAA-aligned data handling. Models built to live in real environments, not notebooks. 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗟𝗟𝗠 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀 (𝗖𝗹𝗮𝘂𝗱𝗲, 𝗢𝗽𝗲𝗻𝗔𝗜, 𝗺𝘂𝗹𝘁𝗶-𝗺𝗼𝗱𝗲𝗹) End-to-end AI agents shipped to production: a Shopify + Amazon SP-API customer service agent with order lookup, refunds, returnless-refund policies, Slack/Email approval gates, and Klaviyo sync. Multi-step LLM pipelines with tool use, RAG, function calling, and human-in-the-loop checkpoints. I design these as systems, not single prompts, and I'm comfortable across Claude, OpenAI, and open-weight models depending on what fits the workload. 𝗙𝘂𝗹𝗹-𝗦𝘁𝗮𝗰𝗸 𝗙𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻𝘀 Every AI product needs scaffolding that holds. I've shipped Django/Node/React/Next.js platforms that ran 3+ years in production, Alchemist Real Estate, audIT.app, and a long-running B2B SaaS that grew from MVP to hundreds of users across $195K+ in contracted development. Distributed backends, REST/GraphQL APIs, AWS-native deployment, data pipelines, and the DevOps to keep them stable. 𝗛𝗼𝘄 𝗜 𝘄𝗼𝗿𝗸 As Lead Engineering Architect, I stay hands-on through the whole lifecycle, discovery, architecture, core implementation, deployment, and the long tail. I don't hand off and disappear. Most of my Upwork work is repeat business or long contracts measured in years, not weeks. If you're building a Voice AI agent, a computer vision platform, an LLM-driven workflow, or a full-stack AI product that needs to survive real load - let's talk.

🚀 Computer Vision | NLP | AI Engineer | Machine Learning & Deep Learning | AI SaaS & Automation Bringing AI-Powered Innovation to Enterprises I am an AI engineer with over 11 years of experience in developing deep learning solutions, natural language processing, and computer vision. My journey in AI started more than a decade ago, working on advanced projects that helped businesses automate processes, analyze data, and make smarter decisions. Four years ago, I joined Upwork to offer my expertise globally, successfully delivering impactful projects in areas such as: ✅ Text classification and sentiment analysis using advanced NLP models ✅ AI-driven cybersecurity solutions for IoT network traffic analysis ✅ Medical image analysis using CNN-based models for enhanced diagnostics I took the challenge. I optimized the dataset, fine-tuned an Arabic NLP model, and streamlined the preprocessing pipeline. Within days, the classification accuracy improved significantly, and the client was thrilled. Soon, larger companies started noticing my work. Then came a cybersecurity firm struggling with IoT traffic vulnerabilities. Their system was unable to detect threats effectively. I built a CNN-based model that analyzed real-time network traffic, improving threat detection accuracy by 40% while reducing false positives. Another client, a healthcare startup, faced challenges in medical image analysis. I developed a deep learning model using CNNs for ultrasound image quality assessment, ensuring reliable diagnostics. This solution reduced errors and improved medical imaging workflows. One of my most demanding projects involved incremental learning for AI models. The challenge was to update a deep learning model with new data without forgetting previous knowledge. By implementing advanced transfer learning techniques, I ensured the model retained past insights while adapting to new patterns. That $50 project was more than just a small job—it set me on a path to solving complex AI problems and driving impactful innovation. And this? It’s just the beginning. Now, We Build AI Solutions for Enterprises Worldwide Today, I lead a team of AI specialists, delivering state-of-the-art solutions in machine learning, deep learning, NLP, and computer vision. We help businesses leverage AI to optimize operations, automate workflows, and gain actionable insights from data. What We Build 💻 AI-Powered SaaS Platforms – Scalable solutions for high-performance applications 🤖 AI Automation & AI Agents – Smart AI-driven automation to reduce costs & enhance efficiency 📊 Predictive Analytics & Data Science – Transforming raw data into business intelligence 🔍 Computer Vision & Image Analysis – AI models for real-time image recognition & processing 📝 Natural Language Processing (NLP) – Sentiment analysis, text classification, and chatbots 🔐 Enterprise Security & AI Compliance – Ensuring robust cybersecurity with AI-driven solutions AI Automation Services 🚀 AI-Driven Workflows Powered by Python, TensorFlow, and PyTorch 🔹 Automated Text Analysis – AI-driven document classification & sentiment analysis 🔹 Cybersecurity Automation – AI models for anomaly detection in IoT network traffic 🔹 Medical AI – Deep learning for medical image quality enhancement & analysis 🔹 AI-Based Chatbots – Intelligent virtual assistants for seamless customer interaction 🔹 Computer Vision for Industrial Automation – AI models for defect detection & quality control Real-World Impact 🚀 3X Efficiency – AI models optimizing processes & reducing manual workload 📊 40% Cost Reduction – AI automation improving business scalability 📈 30% Higher Accuracy – Advanced ML models for data-driven decision-making 🔐 100% Compliance – AI-powered security ensuring regulatory standards Tech Stack 🔹 Machine Learning & AI: TensorFlow, PyTorch, Scikit-learn, Keras 🔹 NLP: Transformers, BERT, AraBERT, GPT, spaCy 🔹 Computer Vision: OpenCV, YOLO, Detectron2 🔹 Big Data & Cloud: AWS, Google Cloud, Kubernetes 🔹 Development: Python, Flask, FastAPI, Django 🔹 AI Automation: Zapier, n8n, custom AI workflows We collaborate with enterprises, startups, and research teams to build AI-powered solutions that drive innovation and efficiency. 📩 Let’s Build Something Great! If your business needs AI-powered automation, deep learning models, or cutting-edge data solutions, let’s connect. Send me a message today! Keywords AI Engineer | Machine Learning | Deep Learning | NLP | Computer Vision | AI SaaS | AI Automation | AI Chatbots | Data Science | Predictive Analytics | TensorFlow | PyTorch | Transformers | AraBERT | OpenAI API | Cybersecurity AI | Medical AI | Image Processing | AI Workflow Automation

I help startups and businesses build scalable products using AI and modern web technologies. I’m a Full-Stack Developer and AI/ML Engineer with hands on experience in website development, machine learning, computer vision, automation, and LLM powered applications. I take projects end-to-end from understanding your business problem and data, to building models, APIs, and deploying production-ready systems. I’ve worked on real-world AI products and large-scale pipelines handling terabytes of data, with a strong focus on performance, reliability, and clarity. What I Can Help You Build Modern, responsive websites and web apps AI-powered features (detection, classification, analytics) Custom ML & Deep Learning models (PyTorch, TensorFlow) Cell detection and classification models for image based data Scalable data pipelines for large image or tabular datasets AI chatbots, RAG systems, and LLM integrations Tech & Delivery Frontend: React, Next.js, JavaScript Backend: Python (Django, FastAPI, Flask), Node.js Cloud & DevOps: AWS, Docker, CI/CD Computer Vision: high-resolution image processing (TIFF, SVS, PNG) Automation: Python scripts, ETL pipelines, CPU/GPU parallel processing Why Clients Work With Me I translate business goals into working systems Clear communication and realistic timelines Clean, maintainable, production ready code Comfortable with TB-scale data and GPU workloads Long-term mindset not just quick fixes If you’re a startup or business looking to build or scale an AI-powered product, let’s talk.

Hello, I’m the founder of StreamTech, with over 11,000 hours across more than 100 AI and machine learning projects since 2016. I bring deep expertise in computer vision and edge AI ranging from object detection, tracking, and OCR to pose estimation, generative image processing, and event detection in sports feeds. I also excel in building intelligent AI agents and LLM driven chatbots that leverage multi turn dialog, RAG enabled memory systems, and API orchestration. My offerings extend beyond AI models and edge deployment. I provide full mobile experience solutions, creating cross platform React Native apps complemented by thoughtful UI/UX design. Whether it's crafting intuitive interfaces, responsive layouts, or seamless animations tailored for both iOS and Android, I ensure that the user experience complements the underlying AI technology. I guide projects end to end, collecting and labeling data, architecting and training models with PyTorch and TensorFlow, and deploying solutions either in the cloud (AWS, GCP) or on edge devices like Jetson Nano, Xavier, and Orin using DeepStream SDK. My engineering stack includes Python, C++, OpenCV, MediaPipe, OpenPose, SMPL, GANs, Stable Diffusion, Docker, and Kubernetes. At StreamTech, our mission has always been to harness cutting edge tech for meaningful business impact. By blending AI innovation with elegant mobile design, I help entrepreneurs and managers accelerate product development. If you're envisioning a mobile solution powered by CV or conversational AI, or need an AI agent interface that shines on mobile, let’s connect and explore how we can craft something exceptional together. Cheers!!