Around 8 years in Machine Learning and 15 years in IT overall. Have experience in many aspects of machine learning starting Bayesian statistics and ending with very deep neural networks that empower computer vision pipelines and recommendation engines.

I help companies design, train, and deploy computer vision systems that solve real-world problems — not just research demos. I specialize in end-to-end computer vision solutions, taking ownership of everything from data and model performance to system reliability and deployment. What I help clients build Real-time computer vision systems (detection, tracking, segmentation) Custom deep learning models (CNNs, Transformers, U-Net variants) Medical image analysis (retinal imaging, segmentation, diagnostics support) Agricultural computer vision (crop analysis, monitoring, automation) Industrial & inspection systems (quality control, defect detection) Training pipelines & ML automation (data processing, reproducibility, CI-ready workflows) Why clients hire me 5+ years of software engineering experience, plus deep specialization in Computer Vision & ML Applied CV experience across multiple industries (medical, agriculture, industrial, AR research) Master’s degree in Computer Vision, thesis focused on retinal choroid segmentation Strong focus on production-quality code, documentation, and maintainability Comfortable working beyond the model: APIs, pipelines, backend integration, deployment Tech stack ML & CV: Python, PyTorch, TensorFlow, OpenCV Vision tasks: Detection, segmentation, tracking, image processing and analysis, stereo calibration Backend: Python, FastAPI, Java, Spring Boot, C# Frontend & tools: TypeScript, JavaScript, Qt Data: PostgreSQL, MySQL DevOps & MLOps: Docker, CI/CD Testing: Automated & end-to-end testing (WebdriverIO) How I work I don’t just deliver a model — I deliver a working system. I focus on: Clear requirements Measurable performance Clean, maintainable code Honest communication and ownership If you need a reliable computer vision engineer who can take a system from idea to production, let’s talk.

✅ 13+ years of experience ✅ 160+ projects delivered ✅ Excelling in delivering Fortune 500-scale projects 🐍 Python, 🧠 Deep Learning, 👁️ Computer Vision, 🗣️ NLP, 🤖 MLOps, 🐳 Docker, ☁️ AWS, 🔄 CI/CD, 🔍 Vector Databases, 💬 LLM Chatbots Hi, I’m Tayyab, a Senior Python Developer and AI Engineer with over 11 years of industry experience specializing in Python programming, Machine Learning, Deep Learning, and Computer Vision. I excel at transforming complex ideas into scalable, high-impact AI solutions. My expertise includes building robust ML models, optimizing data pipelines, and deploying intelligent systems for industries worldwide. 🚀 AI & Machine Learning: Expert in developing and optimizing ML models using Python libraries like Scikit-learn, OpenCV, and NumPy for predictive analytics, data processing, and computer vision. 🧠 Deep Learning: Proficient in PyTorch, TensorFlow, and Keras for neural network development in NLP, image processing, and more. 👁️ Computer Vision: Skilled in object detection, OCR, and image analysis with OpenCV and custom models for scalable solutions. 💬 NLP & Chatbots: Experienced in text classification, summarization, and building advanced RAG-based chatbots using LLMs like GPT, Claude, Llama, and Gemini. 🔄 MLOps & CI/CD: Expertise in model deployment, pipeline optimization, and containerization with Docker and Kubernetes, plus CI/CD with Jenkins and GitHub Actions. ☁️ Cloud Computing: Proficient in AWS (EC2, CloudWatch) and GCP (BigQuery, Vision AI) for scalable, high-availability applications. 🔍 Vector Databases: Hands-on experience with Pinecone, Milvus, Qdrant, and Faiss for optimized data retrieval and similarity search. Let’s collaborate to bring your AI, Machine Learning, or Python project to life with innovative, high-quality solutions!

🚀 Machine Learning & Computer Vision Specialist | AWS Solutions Architect | Gold Medalist 🎓 With 2+ years of experience in Machine Learning, Computer Vision, and Generative AI development, I specialize in crafting innovative, research-driven solutions. My experience includes working at a Silicon Valley unicorn company, where I've developed cutting-edge AI technologies. Passionate about advancing ML and CV technologies, I thrive on creating impactful, scalable systems. 🎓 Education 🥇 Multiple Gold Medals, Summa Cum Laude | FAST NUCES Islamabad Bachelor's Degree in Computer Science 💡 Core Expertise Computer Vision & Deep Learning: Designed and implemented complex models for object detection, image segmentation, and OCR with exceptional accuracy. Zero-Shot Learning: Developed innovative zero-shot data annotation pipelines that significantly reduced annotation costs. End-to-End System Deployment: Skilled in deploying models on cloud platforms with optimized pipelines for production environments. 🛠️ Technical Toolkit Languages: Python, C++ Frameworks: TensorFlow, PyTorch, CUDA, OpenCV Cloud & MLOps: AWS, Docker Tools & Version Control: GitHub Computer Vision Libraries: YOLO, U-Net NLP Models: BERT, DONUT, TROCR 🔍 AI/ML Expertise Expertise in object detection, image segmentation, OCR, and sequence labeling. Fine-tuned complex models to enhance performance for targeted use cases. Proficient in data preprocessing, annotation, and model deployment. 🏆 Notable Achievements Achieved 95% accuracy in converting prescriptions into JSON by leveraging a sophisticated combination of YOLO, TROCR, BERT, and DONUT. Enhanced mobility for the visually impaired by creating an advanced object detection system for a smart walking stick. Developed a custom CNN to convert ASL signs into text with optimal performance features. Successfully segmented dental X-ray images using U-Net and advanced image processing techniques. 📜 Certifications AWS Solutions Architect 🌟 Why Collaborate With Me? As a dedicated problem solver and strategic thinker, I bring deep expertise in Machine Learning, Computer Vision, and Cloud Architecture to help organizations unlock the full potential of their data. From ideation to deployment, I am ready to bring your AI vision to life while delivering exceptional results that drive innovation and value.

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'm an experienced researcher in machine learning, artificial intelligence, signal processing, and designing decoders for 5G/6G. I can help you with designing and implementing machine learning algorithms for a wide range of applications (e.g., finance, biology, and energy consumption). I actively contribute to the open source projects. Knows Python, C++, CUDA C++, MATLAB, Linux, TensorFlow, PyTorch, PyQt5, Polars, LightGBM, CatBoost, and XGBoost. I also have experience working with Verilog and FPGAs.

I have a keen eye with data and get excited about solving hard problems. If you are looking for an engineer to get your job done efficiently whilst providing multiple approaches to reach the optimal one, I am the one for you! I am an AI Engineer with extensive experience in the following: 1. Computer Vision 2. Data Science 3. Machine Learning 4. Generative AI (LLM, Agents, MCPs, Agentic Workflows, RAG) I am a problem solver at heart and a constant learner, so throw me your hardest problem and if it is not under my belt, I will learn to solve it in the most effective manner! Looking forward to hearing from you and the projects to come forth with, Cheers!

I worked at largest European tech companies and YC startups. I have ML education from a top uni. I have 8+ years of ML experience. Bargain! 😉 Here's what I can do for you: - Analyze business problem and build a suitable AI solution - Quickly implement a prototype and outline a plan for future improvements - Analyze related research and conduct experiments in search of quality gains - Build solid data pipelines for continuous training and deployment - Interview ML candidates and provide mentorship for junior team members Working in large companies, I've trained large language models myself, which helps me to understand what makes an LLM tick. I worked on a web-scale RAG system at a major search engine company before this term was popular. I am a generalist, proficient with Python, but also capable with Rust, C++, Javascript. I can serve as a fractional CTO, capable both as a leader and as a highly efficient individual contributor.

You want a 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 who can turn real-world challenges into impactful solutions. With 7+ years of experience, I focus on your unique needs to deliver tailor-made applications that truly make a difference. Whether you need to track billiards balls, run advanced retail analytics, or deploy on-edge solutions, I’m here to help transform your vision into reality. Hi, I’m Antonio, and I’m here to help you bring your vision to life. 🔎 𝗛𝗼𝘄 𝗜 𝗪𝗼𝗿𝗸 1. In-Depth Discovery I begin every project with a thorough conversation, asking lots of questions to clearly define your goals, constraints, and success criteria. This ensures I build exactly what you need to solve your unique problem effectively. 2. Modular Problem-Solving I break complex tasks into smaller pieces, then test multiple approaches to find the most effective solution. This strategy delivers reliable and efficient 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. 🏆 𝗡𝗼𝘁𝗮𝗯𝗹𝗲 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀 & 𝗔𝗰𝗵𝗶𝗲𝘃𝗲𝗺𝗲𝗻𝘁𝘀 • 𝙋𝙤𝙤𝙡-𝘽𝙞𝙡𝙡𝙞𝙖𝙧𝙙 𝘽𝙖𝙡𝙡 𝙏𝙧𝙖𝙘𝙠𝙞𝙣𝙜 (𝙔𝙤𝙪𝙏𝙪𝙗𝙚 𝘾𝙝𝙖𝙣𝙣𝙚𝙡 @𝙋𝙤𝙤𝙡-𝙞𝙨-𝘼𝙧𝙩) Created a tracking system that draws colored lines for each pool ball’s trajectory in real time. This involves ball detection, tracking, color recognition, smoothing, and anti-aliased rendering. One showcased video reached 18K views, demonstrating a blend of precision and style. • 𝙈𝙖𝙧𝙠𝙚𝙩 𝘼𝙣𝙖𝙡𝙮𝙨𝙞𝙨 & 𝘽𝙪𝙨𝙞𝙣𝙚𝙨𝙨 𝙄𝙣𝙩𝙚𝙡𝙡𝙞𝙜𝙚𝙣𝙘𝙚 Built a commercial product that uses cameras in retail stores, coffee shops, and restaurants to gather foot traffic, demographic data, and in-store behavior analytics. Currently deployed in 10 locations, it offers powerful insights for more informed decision-making. • 𝙊𝙥𝙚𝙣-𝙎𝙤𝙪𝙧𝙘𝙚 𝙎𝙚𝙜𝙢𝙚𝙣𝙩𝙖𝙩𝙞𝙤𝙣 𝙏𝙤𝙤𝙡 (𝙐𝙨𝙞𝙣𝙜 𝙎𝘼𝙈 2.1) Combined Meta’s SAM 2.1 with Ultralytics to develop a user-friendly, privacy-focused segmentation tool. Users can apply positive or negative prompts without relying on expensive or riskier cloud services. • 𝙎𝙥𝙤𝙧𝙩𝙨 𝙑𝙞𝙙𝙚𝙤 𝘼𝙣𝙖𝙡𝙮𝙩𝙞𝙘𝙨 a) Soccer: Detected and tracked players to measure goals, ball possession, and movement heatmaps. b) Squash: Measured approximate movement speed by tracking players during training drills. Both applications rely on person detection and tracking, followed by sport-specific analytics. • 𝙇𝙞𝙘𝙚𝙣𝙨𝙚 𝙋𝙡𝙖𝙩𝙚 𝙍𝙚𝙘𝙤𝙜𝙣𝙞𝙩𝙞𝙤𝙣 𝙤𝙣 𝙍𝙖𝙨𝙥𝙗𝙚𝙧𝙧𝙮 𝙋𝙞 Achieved a stable 15 FPS OCR system in full HD on a Raspberry Pi 4B, illustrating how I optimize advanced models for edge devices. • 𝘼𝙒𝙎-𝘽𝙖𝙨𝙚𝙙 𝘾𝙤𝙢𝙥𝙪𝙩𝙚𝙧 𝙑𝙞𝙨𝙞𝙤𝙣 𝘿𝙚𝙥𝙡𝙤𝙮𝙢𝙚𝙣𝙩𝙨 Proficient with Lambda, EC2, and Rekognition to handle tasks like face matching and real-time action recognition at scale. • 𝘿𝙖𝙩𝙖 𝘼𝙣𝙣𝙤𝙩𝙖𝙩𝙞𝙤𝙣 & 𝘿𝙖𝙩𝙖𝙨𝙚𝙩 𝘾𝙧𝙚𝙖𝙩𝙞𝙤𝙣 Adept at using local (CVAT, Make Sense) and cloud-based (Roboflow, Ultralytics Hub) annotation tools. I’ve built large, high-quality datasets (some exceeding 300K labeled instances) to train robust custom models. 🌟 𝗪𝗵𝗮𝘁 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗦𝗮𝘆 “Hire him already! Quickly! I have been working with freelance data scientists for about a decade... Antonio is the best freelance engineer I have ever worked with. Extremely competent, knowledgeable, and passionate about Computer Vision. He communicates effectively.” “I was impressed with the level of work Antonio put into my project.” “He showed great expertise in my video classification task. His adherence to schedule and communication skills are also commendable. I'd love to work with him again.” “Really great to work with, would definitely hire again! Knowledgeable about AI, communicative, responsive, and timely." “Available FAST and very helpful. Clearly knows the space, and quickly understands use cases." 🤝 𝗟𝗲𝘁’𝘀 𝗖𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗲 Ready to bring cutting-edge computer vision to your business or project? • I’ll clarify your goals with detailed conversations. • I’ll design a modular, data-driven solution that meets your needs. • I’ll keep you informed every step of the way with straightforward updates. Send me a message or invite me to your job to explore your vision together. I look forward to bringing your ideas to life!

I am a Ph.D. scholar specializing in Machine Learning and Deep Learning with expertise in model design, optimization, and mathematical modeling. My research spans computational neuroscience, cognitive neuroscience, computational psychology, and cheminformatics, with publications in high-impact journals where I also serve as a reviewer (IEEE Transactions, Nature, PLOS One). In addition to academic contributions, I have developed production-ready AI solutions for clients, some of which directly supported their successful funding. I bring together strong research expertise and practical problem-solving to deliver impactful results.