Hi 👋 I help companies move beyond AI prototypes and build production-ready systems, especially AI Agent solutions, RAG pipelines, and LLM-powered automations that actually work in real-world environments. Recently, I built a RAG-based AI Agent that indexed thousands of documents and enabled fast, accurate semantic search across internal data, significantly improving how teams access and use information. 𝐖𝐡𝐚𝐭 𝐈 𝐭𝐲𝐩𝐢𝐜𝐚𝐥𝐥𝐲 𝐛𝐮𝐢𝐥𝐝: AI Agent systems that automate workflows end-to-end Intelligent AI Agent pipelines with reliable retrieval (RAG) FastAPI-based backends powering AI Agent applications Scalable AI Agent integrations across APIs, databases, and cloud systems 𝐇𝐨𝐰 𝐈 𝐰𝐨𝐫𝐤: I handle development directly (no outsourcing) and follow strict confidentiality and code ownership practices. My focus is on delivering systems that are accurate, maintainable, and production-ready, not just demos. 𝐓𝐞𝐜𝐡 𝐬𝐭𝐚𝐜𝐤: Python, FastAPI, LangChain, OpenAI/Claude APIs, vector DBs, AWS/GCP, Docker If you're looking to build or scale an AI Agent system that actually performs in production, happy to connect and discuss.

PhD / Deep learning / Computer Vision / LLMs / GPT4 / LLAMA / NLP / Generative Art / Mobile robots / SLAM / Mechanical Engineer / Product Designer As a professional Mechanical / Mechatronics Engineer, I specialize in Mechanical Design, Deep Learning, AI, Generative Networks, Computer Vision, Robot Navigation, SLAM, Mobile Robots, and Product Designing. With two distinct skill sets, I am highly capable of providing comprehensive solutions to my clients. My academic background includes a B.Sc. Eng. (Hons) in Mechanical Engineering and recently completed my PhD (April 2023) in Mobile Robotics with a focus on Computer Vision and Deep Learning for underwater navigation and SLAM. I have a strong foundation in machine learning and deep learning algorithms, with expertise in important topics such as ML and NLP from online courses such as CS229 by Prof. Andrew Ng at Stanford University. My technical skills include proficiency in Python, C++, Mathlab, and specialized skill areas such as Image Classification, Object Detection & Localization, ANN, CNN, and RNN. I also have extensive experience in data manipulation, image processing, and deployment of Deep Learning Frameworks such as TensorFlow, Keras, TensorRT, and Pytorch. In addition to my technical expertise, I have more than 10 years of experience in Mechatronics-related system design, simulation, fabrication, and testing. I am highly proficient in 3D modeling software such as Solidworks and SketchUp. Over the years, I have gained significant industrial experience as a research and innovation engineer and design specialist. My ultimate goal is to provide superior service to my clients while making a positive impact on people's lives and the environment.

I design and deliver intelligent systems that bridge cutting-edge AI research with real-world impact. With 50+ successful projects for global clients, I specialize in transforming complex ideas into production-ready solutions that are fast, reliable, and scalable. Core Expertise Natural Language Intelligence – Advanced text analytics, summarization, sentiment analysis, conversational AI, and knowledge extraction. Computer Vision – Object detection, segmentation, pose/keypoint tracking, ground and aerial imagery analysis, and generative visual models. Algorithmic Engineering – Predictive modeling, time-series forecasting, recommender systems, and custom algorithm design. Full-Stack ML Applications – Robust backends (Django/Flask), interactive dashboards (React), and embedded AI systems. Audio & Speech AI – Real-time speech processing, voice synthesis, and collaborative AI-driven audio editing. *** What Sets Me Apart *** Global Communication – Fluent in English for seamless collaboration across markets. End-to-End Delivery – From concept to deployment, combining deep technical skills with consultative project management. Innovation with Pragmatism – Integrating the most effective open-source and enterprise-grade AI technologies for measurable results. Project Rescue & Optimization – Stepping in to troubleshoot, refine, and accelerate struggling AI initiatives. Whether you need a state-of-the-art AI system built from scratch or expert intervention to get a project back on track, I bring the precision of R&D and the practicality of engineering to deliver solutions that perform—and scale.

Expert AI research team specializing in Computer Vision, OCR, Deep Learning, and real-time video/image processing. Led by a PhD with 10+ years' experience, delivering scalable, production-ready AI solutions. We are a team of AI researchers and engineers specializing in cutting-edge computer vision systems. Led by a Computer Vision PhD expert with over 10 years of experience, we have successfully delivered real-time image and video processing solutions across a wide range of industries. Our expertise spans: - Segmentation (dividing images into meaningful parts for easier analysis and automation) - Object tracking (following people, vehicles, or items across video frames) - OCR (Optical Character Recognition) (extracting text from images, documents, and video) - Pattern recognition (detecting shapes, motions, and objects automatically) - Visual analytics (analyzing camera feeds and video to extract insights) - Face and gesture recognition (identifying faces, expressions, and hand movements) - Motion analysis (tracking movement patterns for sports, surveillance, or activities) - Embedded vision applications (deploying AI on mobile devices and edge devices like Jetson Nano) We bring to the table deep proficiency in: ✔️ Computer Vision: OpenCV, YOLO-based object detection, segmentation, and long-term tracking ✔️ OCR: Tesseract, PaddleOCR, and EasyOCR integration for document automation, ID scanning, and real-time text extraction ✔️ Deep Learning: PyTorch, TensorFlow, ONNX-based visual models including AAMs, CNNs, and custom architectures ✔️ Real-Time Systems: Streaming video pipelines, edge computing deployments (Jetson Nano, Raspberry Pi), and high-performance inference ✔️ Integration: Cross-platform deployment on web, mobile, and embedded devices From R&D prototypes to production-grade systems, we build vision intelligence into your workflows. If you're seeking a dedicated computer vision partner backed by serious academic and practical experience — let's talk.

Experience in: Speech to Text Conversion Text to Speech Synthesis Natural Language Processing (NLP) Computer Vision and Neural Networks CUDA, PyCuda I'm a Machine Learning Engineer passionate about innovation and eager to work in Japan's technology sector. With expertise in various areas such as speech processing and GPU computing, I am looking for opportunities to contribute my skills in the Japanese market. I would also appreciate assistance with the work visa process for potential relocation. Feel free to reach out for collaboration or inquiries.

I design and deploy production-grade AI systems: from data pipelines to scalable LLM applications. With 7+ years in ML/AI, I specialize in LLM systems, RAG architectures, and MLOps, helping teams move from prototype to reliable, scalable AI in production. My focus is not just building models but ensuring they perform under real-world constraints: latency, cost, hallucination control, and continuous improvement. What I build -End-to-end ML pipelines: ingestion, training, deployment, monitoring -RAG systems with proper evaluation harnesses (retrieval quality, regression catching) -LLM observability: prompt versioning, tracing, feedback loops -Scalable inference (real-time and batch) with GPU optimization -CI/CD for ML with MLflow, Airflow, automated retraining -AI agents with guardrails and reliable tool use Selected results -Fraud detection pipeline (real-time inference) → ~$890K in losses prevented -Forecasting system using ensemble models → 31% accuracy lift over baseline -Multiple LLM products running in production under client SLAs -$3M+ in measurable business impact across deployments (happy to walk through specifics on a call) Stack -Languages/frameworks: Python, FastAPI -LLMs: OpenAI, Anthropic, HuggingFace, LangChain, LlamaIndex -Vector DBs: Pinecone, Weaviate, ChromaDB, FAISS -Infra: AWS, Docker, Supabase, MLflow, Airflow How I work -Replies in 0–4 hours on business days -Production-grade code with tests and docs, not throwaway notebooks -Clear scope, direct communication, focused on business outcomes -Revenue, automation, speed-to-market — that's the scoreboard Let's turn your AI idea into a working product. Send an invite with your project details and I'll get back to you with a clear plan.

£20M+ fundraised. 30K+ users. 80K+ downloads. 4.5K GitHub stars. 3 revenue-generating AI SaaS products. 100% Job Success on every Upwork contract. Top 2% on Upwork. I'm the AI full-stack developer you hire when your project needs to actually work in production. So if you’ve got an idea, let’s bring it to life and make it something that actually works and scales! "Highly recommend working with Okafor. Very responsive and knowledgeable, and I'll be working with him on future projects." Most AI freelancers can build a chatbot. I built the systems underneath: the RAG pipeline that retrieves the right context in under 200ms, the AI agent workflow that reasons across five tools before responding, the voice AI that answers a tenant's call in 600ms flat, and the full-stack SaaS that serves thousands of paying users without falling over. A few things I've built that you can verify: → Felicity (Lightwork AI): LLM-powered voice + chat AI assistant for property management. Hybrid RAG, real-time VoIP at 600ms p95 latency, WhatsApp API integration. The company raised £20M+ and was shortlisted for a UK PropTech Award. I was the founding AI engineer. → FPL Oracle: AI chatbot and sports assistant powered by LangGraph, MCP servers, and GPT. 80% of users rank in the top 10K out of 13million players globally. Currently earning revenue ($1K MRR). → SnapFile: AI document management with OCR, embeddings, and retrieval serving 30K+ users. REST API integrations with Sage, Xero, QuickBooks, Google Drive, and Dropbox. Built with React, Node.js, and PostgreSQL. → DialogFlux: Enterprise multi-tenant communication platform. Omnichannel inbox (WhatsApp, SMS, email, voice), AI-powered sentiment analysis, real-time WebSocket dashboards. Processes millions of messages. Built with Python, TypeScript, and Redis. → Databricks (contract): Built autonomous browser automation agents using LangGraph + Puppeteer for compliance research and web scraping. Improved pricing accuracy by 11%, cut manual research time by 45%. Tracked with MLflow. → Open Source: My machine learning image restoration project earned 4,400+ stars on GitHub, 80K+ downloads, and has been cited in 50+ publications. Top 10 ML project on GitHub in 2022. Built with Python, PyTorch, and TensorFlow. What I build for clients: AI agents and LLM systems: multi-step reasoning with LangChain, LangGraph, MCP, OpenAI, GPT, Claude, Gemini, and Hugging Face. AI chatbot development for web, mobile, and WhatsApp. RAG pipelines with FAISS, Pinecone, and vector databases. Voice AI with Twilio, WebRTC, and real-time streaming. Full-stack development: React, Next.js, Node.js, NestJS, Python, TypeScript, GraphQL and REST APIs. PostgreSQL, MongoDB, Redis. SaaS platforms, dashboards, marketplaces, and multi-tenant apps. Automation and integrations: workflow automation with n8n, Make, and Zapier. Stripe, HubSpot, Notion, Slack, Airtable, and DocuSign integrations. Browser automation and data extraction at scale. DevOps and deployment: Docker, AWS, Vercel, CI/CD pipelines, Terraform, and GitHub Actions. I don't just write code for clients. I run 3 of my own AI products with paying users. That means I think about retention, not just features. Revenue, not just releases. Uptime, not just upvotes. How I work: I respond within an hour. I scope before I start. I ship weekly, not monthly. Docs and post-launch support are standard. I currently take on 2-3 projects at a time to give each one the attention it deserves. MSc in Artificial Intelligence (University of Surrey). Former Research ML Engineer at Databricks. Founding AI Engineer at Lightwork AI. Open source contributor to TensorFlow, PyTorch, and Ivy. Click "Invite" or send me a message with your project details. I'll reply with initial thoughts and a rough scope within an hour.

Many computer vision models work in a notebook but fail in production. I build OCR, detection, and tracking systems that actually run in real environments so your team can automate workflows and extract real business value from visual data. I work with companies and startups who need robust AI pipelines for document automation, traffic monitoring, retail analytics, or custom visual AI applications. If you want a low-budget experiment with no clear success criteria, I’m probably not the best fit. 🔎 𝗛𝗼𝘄 𝗜 𝗪𝗼𝗿𝗸 𝟭. 𝗜𝗻-𝗗𝗲𝗽𝘁𝗵 𝗗𝗶𝘀𝗰𝗼𝘃𝗲𝗿𝘆 I begin each project by understanding your goals, constraints, and success metrics to ensure the solution meets your unique needs. 𝟮. 𝗠𝗼𝗱𝘂𝗹𝗮𝗿 𝗣𝗿𝗼𝗯𝗹𝗲𝗺-𝗦𝗼𝗹𝘃𝗶𝗻𝗴 I break complex tasks into smaller parts and test multiple approaches to find the most effective solution. This ensures reliable results you can trust. 𝟯. 𝗟𝗲𝘃𝗲𝗿𝗮𝗴𝗶𝗻𝗴 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 & 𝗖𝘂𝘀𝘁𝗼𝗺 𝗠𝗲𝘁𝗵𝗼𝗱𝘀 My toolkit includes all major computer vision tasks: Classification, detection, tracking, and segmentation. I combine off-the-shelf models with custom-built methods to achieve top-notch performance. 𝟰. 𝗖𝗹𝗲𝗮𝗿, 𝗙𝗿𝗲𝗾𝘂𝗲𝗻𝘁 𝗖𝗼𝗺𝗺𝘂𝗻𝗶𝗰𝗮𝘁𝗶𝗼𝗻 I keep you updated at every step, provide realistic timelines, and immediately address any hurdles. Even if you’re not technical, I’ll explain everything in plain language so you always know where your project stands. 𝟱. 𝗔𝗹𝘄𝗮𝘆𝘀 𝗣𝘂𝘁𝘁𝗶𝗻𝗴 𝗬𝗼𝘂 𝗙𝗶𝗿𝘀𝘁 My clients consistently give me 5-star ratings and glowing feedback. If your requirements stretch beyond my skill set, I’ll be transparent and let you know right away. 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻 & 𝟯𝗗 𝗣𝗲𝗿𝗰𝗲𝗽𝘁𝗶𝗼𝗻 For projects involving robotics, autonomous systems, or spatial analytics, I also build 3D perception pipelines using LiDAR, stereo cameras, and point clouds. This includes 3D object detection, Bird’s Eye View (BEV) transformations, and point cloud processing using deep learning. 𝗥𝗲𝗰𝗲𝗻𝘁 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀 𝟭. 𝗠𝘂𝗹𝘁𝗶-𝗔𝗣𝗜 𝗢𝗖𝗥 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲: Combined Google Vision, OpenAI, and AWS Rekognition to increase document extraction accuracy across noisy images. 𝟮. 𝗦𝗰𝗮𝗻𝗻𝗲𝗱 𝗗𝗼𝗰𝘂𝗺𝗲𝗻𝘁 𝘁𝗼 𝗘𝘅𝗰𝗲𝗹: Parsed key fields using Python + QwenVL and auto-generated Excel reports. 𝟯. 𝗟𝗶𝗰𝗲𝗻𝘀𝗲 𝗣𝗹𝗮𝘁𝗲 𝗗𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻: End-to-end system with YOLOv8 trained on custom dataset and deployed for inference 𝟰. 𝗥𝗲𝗮𝗹-𝗧𝗶𝗺𝗲 𝗟𝗶𝗗𝗔𝗥 𝗢𝗯𝗷𝗲𝗰𝘁 𝗗𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻 & 𝗧𝗿𝗮𝗰𝗸𝗶𝗻𝗴 Built a 3D detection and tracking pipeline using LiDAR and camera data with 3D bounding boxes, frame-to-frame association, and 2D/3D visualizations for autonomous navigation. 𝟱. 𝗗𝗲𝗲𝗽 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗼𝗻 𝗣𝗼𝗶𝗻𝘁 𝗖𝗹𝗼𝘂𝗱𝘀 Trained PointNet and voxel-based 3D CNNs on ShapeNet Core for point cloud segmentation and classification, including full preprocessing and model visualization. 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸 I work with Python, PyTorch, TensorFlow, OpenCV, YOLO, Open3D, and modern vision APIs (Google, AWS, OpenAI) to build detection, tracking, and OCR systems. 𝗪𝗵𝗮𝘁 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗦𝗮𝘆 "Yacine is reliable, very good at his job, and very informative. He was able to set up a POC, identify the main pitfalls, and propose solutions independently." "Yacine is committed to provide high quality work. He knows what he's doing. It's a pleasure to work together. I recommend him for data mining and vision work." "Yacine always does a great job on any computer vision related task, he delivered the project very quickly. I will definitely rehire him again whenever needed." 📬 Let’s Talk Send a message describing your computer vision problem and the data you’re working with. If it’s a good fit, we’ll discuss the next steps.

Are you a startup founder or agency sitting on a software project that keeps breaking, stalling, or eating your budget without delivering results? 𝘐𝘴 𝘺𝘰𝘶𝘳 𝘤𝘶𝘳𝘳𝘦𝘯𝘵 𝘥𝘦𝘷𝘦𝘭𝘰𝘱𝘦𝘳 𝘮𝘰𝘳𝘦 𝘧𝘰𝘤𝘶𝘴𝘦𝘥 𝘰𝘯 𝘸𝘳𝘪𝘵𝘪𝘯𝘨 𝘧𝘢𝘯𝘤𝘺 𝘤𝘰𝘥𝘦 𝘵𝘩𝘢𝘯 𝘢𝘤𝘵𝘶𝘢𝘭𝘭𝘺 𝘴𝘰𝘭𝘷𝘪𝘯𝘨 𝘺𝘰𝘶𝘳 𝘣𝘶𝘴𝘪𝘯𝘦𝘴𝘴 𝘱𝘳𝘰𝘣𝘭𝘦𝘮? Typical founders and agencies I speak to are doing well on the business side but deeply concerned about one thing. 𝑻𝒉𝒆𝒊𝒓 𝒔𝒐𝒇𝒕𝒘𝒂𝒓𝒆 𝒘𝒂𝒔 𝒏𝒆𝒗𝒆𝒓 𝒃𝒖𝒊𝒍𝒕 𝒕𝒐 𝒔𝒄𝒂𝒍𝒆. They are disappointed with systems that crack the moment traffic spikes. They are unhappy with developers who disappear after delivery leaving them with technical debt they cannot explain to their own team. ▸ 𝘋𝘰𝘦𝘴 𝘺𝘰𝘶𝘳 𝘴𝘺𝘴𝘵𝘦𝘮 𝘭𝘰𝘢𝘥 𝘭𝘪𝘬𝘦 𝘢 𝘸𝘰𝘰𝘥𝘦𝘯 𝘸𝘩𝘦𝘦𝘭 𝘦𝘷𝘦𝘳𝘺 𝘵𝘪𝘮𝘦 𝘳𝘦𝘢𝘭 𝘶𝘴𝘦𝘳𝘴 𝘴𝘩𝘰𝘸 𝘶𝘱? ▸ 𝘐𝘴 𝘪𝘵 𝘯𝘰𝘵 𝘮𝘰𝘣𝘪𝘭𝘦 𝘰𝘱𝘵𝘪𝘮𝘪𝘻𝘦𝘥? ▸ 𝘋𝘰𝘦𝘴 𝘪𝘵 𝘨𝘰 𝘥𝘰𝘸𝘯 𝘦𝘹𝘢𝘤𝘵𝘭𝘺 𝘸𝘩𝘦𝘯 𝘺𝘰𝘶𝘳 𝘮𝘰𝘴𝘵 𝘪𝘮𝘱𝘰𝘳𝘵𝘢𝘯𝘵 𝘤𝘭𝘪𝘦𝘯𝘵𝘴 𝘢𝘳𝘦 𝘸𝘢𝘵𝘤𝘩𝘪𝘯𝘨? 𝑰𝒇 𝒕𝒉𝒂𝒕 𝒊𝒔 𝒚𝒐𝒖, 𝒕𝒉𝒆𝒏 𝒎𝒂𝒚𝒃𝒆 𝑰 𝒄𝒂𝒏 𝒉𝒆𝒍𝒑. I am a 𝗦𝗲𝗻𝗶𝗼𝗿 𝗦𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁 with 5+ 𝘆𝗲𝗮𝗿𝘀 of experience and 5𝟬+ 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝗱𝗲𝗹𝗶𝘃𝗲𝗿𝗲𝗱 across SaaS platforms, MVPs, e-commerce systems, and enterprise-level infrastructure. 𝘐 𝘥𝘰 𝘯𝘰𝘵 𝘫𝘶𝘴𝘵 𝘸𝘳𝘪𝘵𝘦 𝘤𝘰𝘥𝘦. I understand your business model first. I choose the right stack strategically. I build systems engineered for 𝗴𝗿𝗼𝘄𝘁𝗵 not just quick launches and I communicate clearly so you never chase updates or wonder what is happening with your product. 𝘛𝘩𝘦𝘺 𝘭𝘢𝘶𝘨𝘩𝘦𝘥 𝘸𝘩𝘦𝘯 𝘐 𝘴𝘢𝘪𝘥 𝘐 𝘤𝘰𝘶𝘭𝘥 𝘳𝘦𝘴𝘤𝘶𝘦 𝘢 𝘧𝘢𝘪𝘭𝘪𝘯𝘨 𝘚𝘢𝘢𝘚 𝘱𝘳𝘰𝘫𝘦𝘤𝘵 𝘪𝘯 𝘶𝘯𝘥𝘦𝘳 30 𝘥𝘢𝘺𝘴. 𝘉𝘶𝘵 𝘸𝘩𝘦𝘯 𝘵𝘩𝘦𝘺 𝘴𝘢𝘸 𝘵𝘩𝘦 𝘳𝘦𝘴𝘶𝘭𝘵𝘴 𝒕𝒉𝒆 𝒄𝒐𝒏𝒗𝒆𝒓𝒔𝒂𝒕𝒊𝒐𝒏 𝒄𝒉𝒂𝒏𝒈𝒆𝒅. You have options. But 𝘩𝘪𝘳𝘪𝘯𝘨 𝘢 𝘭𝘰𝘸-𝘤𝘰𝘴𝘵 𝘥𝘦𝘷𝘦𝘭𝘰𝘱𝘦𝘳 𝘪𝘴 𝘭𝘪𝘬𝘦 𝘭𝘰𝘷𝘦 𝘢𝘵 𝘧𝘪𝘳𝘴𝘵 𝘴𝘪𝘨𝘩𝘵. It feels good at the start. But later you open the box and sometimes 𝘵𝘩𝘦 𝘣𝘰𝘹 𝘪𝘴 𝘦𝘮𝘱𝘵𝘺. I come in with a clear process, defined standards, and long-term thinking. If the system I build does not handle your load, pass QA, and work across every device I will make it right. 𝗧𝗵𝗮𝘁 𝗶𝘀 𝗺𝘆 𝗴𝘂𝗮𝗿𝗮𝗻𝘁𝗲𝗲. 𝑰𝒇 𝒚𝒐𝒖 𝒂𝒓𝒆 𝒔𝒆𝒓𝒊𝒐𝒖𝒔 𝒂𝒃𝒐𝒖𝒕 𝒃𝒖𝒊𝒍𝒅𝒊𝒏𝒈 𝒔𝒐𝒇𝒕𝒘𝒂𝒓𝒆 𝒕𝒉𝒆 𝒓𝒊𝒈𝒉𝒕 𝒘𝒂𝒚, 𝒔𝒆𝒏𝒅 𝒎𝒆 𝒂 𝒎𝒆𝒔𝒔𝒂𝒈𝒆 𝒓𝒊𝒈𝒉𝒕 𝒏𝒐𝒘. 𝗬𝗼𝘂𝗿 𝗻𝘂𝗺𝗯𝗲𝗿 𝗼𝗻𝗲 𝘁𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗽𝗮𝗿𝘁𝗻𝗲𝗿 the architect who makes sure your system never becomes your biggest bottleneck. 𝘗.𝘚. 𝘐𝘧 𝘰𝘯𝘦 𝘥𝘢𝘺 𝘺𝘰𝘶𝘳 𝘱𝘭𝘢𝘵𝘧𝘰𝘳𝘮 𝘢𝘤𝘩𝘪𝘦𝘷𝘦𝘴 𝘦𝘷𝘦𝘯 𝘢 𝘧𝘳𝘢𝘤𝘵𝘪𝘰𝘯 𝘰𝘧 𝘵𝘩𝘦 𝘨𝘳𝘰𝘸𝘵𝘩 𝘺𝘰𝘶 𝘢𝘳𝘦 𝘸𝘰𝘳𝘬𝘪𝘯𝘨 𝘵𝘰𝘸𝘢𝘳𝘥 𝘢𝘯𝘥 𝘵𝘩𝘦 𝘴𝘺𝘴𝘵𝘦𝘮 𝘩𝘰𝘭𝘥𝘴 𝘸𝘪𝘵𝘩𝘰𝘶𝘵 𝘣𝘳𝘦𝘢𝘬𝘪𝘯𝘨 𝒕𝒉𝒂𝒕 𝒊𝒔 𝒕𝒉𝒆 𝒐𝒏𝒍𝒚 𝒎𝒆𝒂𝒔𝒖𝒓𝒆 𝒐𝒇 𝒔𝒖𝒄𝒄𝒆𝒔𝒔 𝑰 𝒄𝒂𝒓𝒆 𝒂𝒃𝒐𝒖𝒕. 𝗙𝗔𝗤 𝗖𝗮𝗻 𝘆𝗼𝘂 𝘄𝗼𝗿𝗸 𝘄𝗶𝘁𝗵 𝗲𝘅𝗶𝘀𝘁𝗶𝗻𝗴 𝗰𝗼𝗱𝗲𝗯𝗮𝘀𝗲𝘀? Both new and existing. 𝘐 𝘥𝘰 𝘯𝘰𝘵 𝘳𝘦𝘸𝘳𝘪𝘵𝘦 𝘧𝘰𝘳 𝘵𝘩𝘦 𝘴𝘢𝘬𝘦 𝘰𝘧 𝘳𝘦𝘸𝘳𝘪𝘵𝘪𝘯𝘨. 𝗪𝗵𝗮𝘁 𝘀𝘁𝗮𝗰𝗸𝘀 𝗱𝗼 𝘆𝗼𝘂 𝘄𝗼𝗿𝗸 𝘄𝗶𝘁𝗵? React, Next.js, Node.js, Python, WordPress, AWS, GCP, PostgreSQL, MongoDB and more. 𝘛𝘩𝘦 𝘴𝘵𝘢𝘤𝘬 𝘪𝘴 𝘢𝘭𝘸𝘢𝘺𝘴 𝘤𝘩𝘰𝘴𝘦𝘯 𝘣𝘢𝘴𝘦𝘥 𝘰𝘯 𝘺𝘰𝘶𝘳 𝘯𝘦𝘦𝘥𝘴 not my preference. 𝗖𝗮𝗻 𝘆𝗼𝘂 𝗵𝗮𝗻𝗱𝗹𝗲 𝗯𝗼𝘁𝗵 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 𝗮𝗻𝗱 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁? Yes. I lead execution and stay involved through delivery 𝘐 𝘥𝘰 𝘯𝘰𝘵 𝘤𝘰𝘯𝘴𝘶𝘭𝘵 𝘢𝘯𝘥 𝘥𝘪𝘴𝘢𝘱𝘱𝘦𝘢𝘳. 𝗪𝗵𝗮𝘁 𝗶𝗳 𝗜 𝗼𝗻𝗹𝘆 𝗻𝗲𝗲𝗱 𝗮 𝘁𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗿𝗲𝘃𝗶𝗲𝘄? That is a standalone service. Send me a message and we can start there. 𝑰𝒇 𝒂𝒏𝒚 𝒐𝒇 𝒕𝒉𝒂𝒕 𝒊𝒔 𝒘𝒉𝒂𝒕 𝒚𝒐𝒖 𝒏𝒆𝒆𝒅 𝗰𝗼𝗻𝘁𝗮𝗰𝘁 𝗺𝗲 𝗮𝗻𝗱 𝗹𝗲𝘁 𝘂𝘀 𝗴𝗲𝘁 𝘁𝗼 𝘄𝗼𝗿𝗸.

Most computer vision projects fail not in training — but in deployment. Models that hit 95% accuracy in the lab break down when lighting shifts, hardware stutters, or the camera feed isn't clean. I build systems engineered to survive those conditions — and I've done it across industries, hardware platforms, and deployment environments. I'm a Computer Vision Engineer specializing in end-to-end AI pipelines — from raw camera input to real-time inference, deployed on edge hardware, cloud APIs, or both. ━━ Core services ━━ → Object detection & multi-object tracking — YOLOv8, YOLOv5, ByteTrack, BOTSort, MMDetection → Segmentation, pose estimation & keypoints — MediaPipe, custom model architectures → Edge AI deployment — NVIDIA Jetson Orin/Nano, Raspberry Pi, Hailo — TensorRT, ONNX, INT8/FP16 → Cloud & API deployment — FastAPI, Docker, AWS GPU instances, REST & WebSocket inference APIs → Video analytics & smart camera systems — safety monitoring, defect detection, zone tracking, people counting ━━ Systems I've shipped ━━ ✓ Real-time fall detection on NVIDIA Jetson — production-deployed, sub-100ms latency ✓ Zone-based people tracking & monitoring for safety-critical environments ✓ Industrial defect detection pipeline — TensorRT-optimized, running on constrained edge hardware ✓ End-to-end smart camera system: camera → inference → dashboard & real-time alerts ✓ OpenCV video analytics pipelines with custom pre/post-processing and business logic ━━ What makes my work different ━━ Most CV engineers deliver a model file. I deliver a working system — optimized, integrated, and running reliably in your environment. I lead a small team and personally own system architecture, optimization strategy, and core AI engineering on every project. You get senior-level technical execution, not delegation to juniors. Edge or cloud. Jetson or GPU server. Prototype or production scale. I've built across all of it. ━━ How a typical project runs ━━ 1. Discovery — review your hardware targets, data sources, and latency requirements before any code is written 2. Architecture — design the full pipeline: model selection, optimization path, deployment stack, integration points 3. Build & optimize — iterative development with benchmarked FPS and accuracy metrics at each stage 4. Deployment — containerized, documented, and running on your target environment 5. Handover — clean codebase, inline documentation, and a session so your team can maintain it independently ━━ Full tech stack ━━ Models: YOLOv8, YOLOv5, YOLOv7, MMDetection, Detectron2, PyTorch, TensorFlow, ONNX Runtime Tracking: ByteTrack, BOTSort, DeepSORT, StrongSORT, custom zone logic & counting algorithms Optimization: TensorRT INT8/FP16, ONNX quantization, model pruning, batch inference tuning Edge hardware: NVIDIA Jetson Orin/Nano, Raspberry Pi 4/5, Hailo-8, Coral TPU Cloud & infra: FastAPI, Flask, Docker, AWS EC2/Lambda, GCP, RTSP/RTMP stream processing Vision utilities: OpenCV, FFmpeg, GStreamer, PIL/Pillow, custom pipeline components ━━ Project types I take on ━━ → Greenfield CV systems — full pipeline from scratch to production deployment → Model optimization — take an existing model and make it production-fast on your hardware → Edge porting — migrate a cloud-based CV system to Jetson, Raspberry Pi, or Hailo → Pipeline debugging — diagnose and fix latency, accuracy, or stability issues in live systems → Inference API — wrap your CV model as a scalable, low-latency REST or WebSocket API → PoC → production — take a working demo and harden it for real-world deployment at scale → Team augmentation — embedded senior CV engineer for sprints or longer-term engagements ━━ Industries served ━━ Manufacturing & quality control — defect detection, visual inspection, production line monitoring Safety & security — real-time threat detection, perimeter monitoring, crowd analytics Retail & logistics — shelf analytics, people counting, queue management, warehouse tracking Healthcare — patient monitoring support systems, lab automation, medical imaging pipelines Agriculture — crop health detection, drone-based aerial inspection, field monitoring systems ━━ Common questions ━━ Work with our existing dataset? Yes — I assess quality, recommend augmentation strategies, and fine-tune models on your labeled data. Edge or cloud deployment? Both — Jetson, Raspberry Pi, and Hailo at the edge; AWS GPU instances and containerized APIs in the cloud. Can you take our prototype to production? That's one of my most common engagements — hardening, optimizing, and deploying existing concepts for real-world reliability. Documentation and handover included? Always. Clean code, inline comments, deployment instructions, and a dedicated handover session on every project. If you need computer vision that performs beyond lab conditions — on real hardware, with real data, in real-world environments — let's talk.