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!!

With nearly 10 years of hands‑on experience in deep learning and machine learning, I’m your go‑to AI expert for everything from model research to full‑stack deployment. Whether you’ve got a breakthrough idea for an AI‑driven product or need to modernize your existing systems, I’ll work with you to design, train, and productionize custom models that deliver real impact. I’ve helped startups and enterprises across healthcare, finance and manufacturing: 🚀Custom AI & ML Solutions – From medical‑image analysis and 3D point‑cloud reconstruction (NeRF, segmentation) to NLP pipelines and speech systems (ASR, TTS, multi‑role emotional voice), I translate requirements into scalable, maintainable code. 🚀Competition & Research Edge – Silver and bronze medals on Kaggle; two‑time world runner‑up in ICMI’s attention‑detection; multiple patents in medical AI and image generation; peer‑reviewed publications. 🚀Large‑Scale LLM & Agent Systems – Architected domain‑specific RAG and AI‑agent frameworks for knowledge work automation and conversational platforms. What I Offer 💡Strategic AI consulting: Roadmaps, feasibility studies, and proof‑of‑concepts 💡Custom model development: DL, ML, LLM fine‑tuning, RAG, agent design 💡3D systems: 3D reconstruction, point‑cloud segmentation, NeRF integration 💡Medical AI: Early disease detection, CBCT motion‑artifact correction, MRI/CT workflows 💡Speech & NLP: ASR, TTS, multi‑persona emotional synthesis, conversational bots 💡Technical Toolbox Python · PyTorch · TensorFlow · Keras · Transformers · MLFlow · LLMs · Embeddings · Ranking · RAG, Multi-Agent · Deep-Research · LangChain · LangGraph · LangSmith · Jupyter · Scikit-learn · LightGBM · XGBoost · CatBoost · Optuna · OpenCV · OpenPose · OpenFace · NeRF · 3D Point Cloud · 3D/4D Gaussian Splatting · MONAI · CT Analysis · ASR · TTS · Elasticsearch · Docker · Antigravity · Cursor · Claude Code ✅Augmented Development with Vibe‑Coding By mastering vibe‑coding techniques, I leverage Claude Code and Cursor to accelerate development—while they don’t replace an experienced AI engineer, their assistance helps me produce cleaner, more efficient code. Let’s turn your AI ambitions into reality. Send me a message and let’s discuss how I can help you leverage cutting‑edge AI to accelerate your business.

I’m a data scientist and machine learning engineer with a passion for solving complex problems using data. I have extensive experience in using Python for data analysis, visualization, web scraping, and machine learning. I can handle any type of data, from structured to unstructured, from text to images, from audio to video. I can also build chatbots that can interact with users on various social platforms. I’m proficient in using deep learning frameworks such as PyTorch and TensorFlow for natural language processing and computer vision tasks. I can design, train, and deploy neural networks and machine learning models that can perform tasks such as sentiment analysis, text summarization, machine translation, image classification, object detection, face recognition, and more. I’m always eager to learn new skills and technologies, and I’m always up for a challenge. I value quality, efficiency, and customer satisfaction. I can deliver your project on time and within your budget. If you’re looking for a reliable and professional data scientist and machine learning engineer, look no further. Let’s chat and discuss how I can help you achieve your goals. data science | machine learning | python | deep learning | pytorch | tensorflow | nlp | computer vision | neural networks | chatbots | sentiment analysis | text summarization | machine translation | image classification | object detection | face recognition

2X GCP Certified • Google Certified Proffessional Machine Learning Engineer • Google Certified Associate Cloud Engineer Contributed to Stanford Research (Echonet Dynamic) open source project for Interpretable AI for beat-to-beat cardiac function assessment. Successfully completed Stanford online certification in Machine learning with 97.3% grade. I love to work on challenging and state of the art cutting edge machine learning and artificial intelligence projects that push the edge or require the latest research in the field of machine learning and artificial intelligence. I have worked on attention mechanisms for improving the efficiency of existing models as well as creating new models from scratch that increase the capabilities for the model to solve the particular task much more effectively. I am able to implement "pytorch" "tensorflow" "keras" "octave" "tflearn" "sklearn" "pandas" "matplotlib" "nunmpy" "scipy" among others for any machine learning tasks, in the wide range of application spectrum. I am able to design front end back-end of the apps or a website etc. Can work on web-sockets servers google cloud platform hadoop reactjs image processing end to end models (including data prepossessing) I have successfully concluded a number of competition on kaggle with respectable positions on the leader-board. I am able to implement bhednau and Luong Attention mechanisms both in image (or video) classification, object detection or surveillance tasks, as well as in NLP (Natural Language Processing). NLP (implementation include:) Spacy Glove Vector Custom embeddings etc Can work with: Python reactjs c++ bash linux octave AWS Google cloud Terraform Ci/CD pipelines Kubernetes Tools: Prometheus Grafana Docker google cloud ml google ai-platform aws sagemaker google ml toolkit Azure Databricks Google AutomL Apart from the above interest, I also have always had the aspiration of being a writer.Starting of from the minor projects I am on my way to write a book, a semi-fictional psychoanalysis.I would love to write about new things and therefore add on to my own knowledge while doing that and earning at the very same time.

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.

Machine Learning Engineer with solid expertise in Python programming, Artificial Neural Networks, Convolutional Neural Networks, Natural Language Processing, and Computer Vision. I work extensively with Large Language Models (LLMs), prompt engineering, and AI agents, combining deep learning techniques with real-world applications across vision and language. Passionate about building scalable, intelligent systems that bridge the gap between perception and reasoning.

🏆 A dedicated professional with comprehensive expertise in Machine Learning, Computer Vision, Deep Learning, and Generative AI. I bring extensive experience in deploying advanced AI models and optimizing solutions for both desktop and embedded environments. My background includes certifications in Data Science, Deep Learning, and Machine Learning in Production, complemented by hands-on project experience. 🏆 🏆🏆 𝙀𝙓𝙋𝙀𝙍𝙏 𝙄𝙉 🏆🏆 🚀 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧 🚀 ✅ Computer Vision Tasks: Skilled in Image Classification, Image Segmentation, and Object Detection. ✅ Deep Learning Frameworks: Proficient with TensorFlow, Keras, and PyTorch for developing sophisticated neural network models. ✅ Advanced Architectures: Experience in implementing Vision Transformers, Swin Transformers, and DETR. ✅ Image Processing: Expertise in numpy, OpenCV, matplotlib, and Pillow for preprocessing and manipulation. ✅ Annotation Tools: Familiar with LabelKit, Labelbox, labelme, and Colabeler for data labeling and annotation. ✅ Embedded Computer Vision: Proficient in deploying models on resource-constrained environments using TensorFlow Lite and other techniques. ✅ Explainable AI: Utilizes LIME and Grad-CAM for model interpretability. 🚀 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 🚀 ⭐ Supervised Learning: Implementing models such as Logistic Regression, SVMs, Decision Trees, and Neural Networks. ⭐ Unsupervised Learning: Expertise in clustering methods like K-means, DBSCAN, Birch, and Hierarchical clustering. ⭐ Semi-Supervised Learning: Leveraging both labeled and unlabeled data for improved model accuracy. ⭐ Classification and Regression: Building and tuning models for various prediction tasks including Linear, Polynomial, Ridge, and Lasso Regression. ⭐ Ensemble Methods: Enhancing model performance with Random Forests, Bagging, and Boosting techniques. ⭐ Feature Engineering: Advanced techniques for feature selection and dimensionality reduction. 🚀 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬 🚀 📈 Statistical Analysis: Applying advanced statistical methods for deriving insights from complex datasets. 📈 Data Interpretation: Translating analytical findings into actionable business strategies. 📈 Trend Analysis: Identifying patterns and forecasting future trends. 📈 Predictive Modeling: Utilizing predictive models for risk assessment and decision-making. 📈 Multivariate Analysis: Handling and analyzing multi-dimensional data. 🚀 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 🚀 📜 Generative Adversarial Networks (GANs): Experience with StyleGAN, StyleGAN2, StackGAN, CycleGAN, SRGAN, and DCGAN. 📜 Generative AI Tools: Proficient with Ollama, LangChain, Llama3.1, RAG, Gemini, and GPT. 🚀 𝐄𝗺𝗯𝗲𝗱𝗱𝗲𝗱 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 🚀 📦 Embedded Devices Experience: Expertise with Arduino, STM32, ESP32, FPGA, Raspberry Pi, and Nvidia Jetson. 📦 Deployment Projects: Successfully deployed various AI models on edge devices, including Jetson Orin Nano and Jetson Tx2, for tasks like ANPR, emotion detection, gesture recognition, and more. 🏆🏆𝗧𝗢𝗢𝗟𝗦 𝗔𝗡𝗗 𝗧𝗘𝗖𝗛𝗡𝗜𝗖𝗔𝗟 𝗦𝗞𝗜𝗟𝗟𝗦🏆🏆 🔍 Core Tools: Pandas, Numpy, Scikit-Learn, TensorFlow, Keras, PyTorch, XGBoost, LightGBM, CatBoost 🔍 Visualization: Matplotlib, Seaborn, Plotly, ggplot2 🔍 Data Processing: Dask, Apache Spark 🔍 Deep Learning: TensorFlow, Keras, PyTorch, Caffe, Theano 🔍 Natural Language Processing: NLTK, SpaCy, Gensim, BERT 🔍 Generative AI: GANs (StyleGAN, StyleGAN2, StackGAN, CycleGAN, SRGAN, DCGAN), Ollama, LangChain, Llama3.1, RAG, Gemini, GPT 🔍 Transformers: Vision Transformers, Swin Transformers, DETR 🔍 Statistical Modeling: Statsmodels, SciPy 🔍 Computer Vision: OpenCV, PIL (Python Imaging Library), skimage 🔍 Development Tools: Jupyter, Docker, Git, SVN 🔍 Embedded Devices: Arduino, STM32, ESP32, FPGA, Raspberry Pi, Nvidia Jetson 📞 𝗟𝗲𝘁 𝘂𝘀 𝗖𝗼𝗻𝗻𝗲𝗰𝘁: 💼 I am passionate about bringing innovative AI solutions to life and optimizing them for various platforms. Contact me to explore how we can collaborate on your next project and achieve outstanding results together!

⚡ Stop wrestling with demo AI that breaks on real user traffic. I build production-grade AI Agents, advanced RAG, and custom tools. Top Rated Plus | Top 10 Machine Learning Agency on Upwork | $500K+ Earned | 8+ Years in AI & Software Engineering I'm an AI Engineer building production-grade AI agent and RAG systems, not simple prompt wrappers. With 8+ years in software engineering and AI development and $500K+ earned on Upwork, I hold Top Rated Plus status and our team is ranked among the Top 10 Machine Learning agencies on the platform. I work with companies that need an AI system to actually run in production, handle real user traffic, and stay accurate, not a demo that breaks on the first edge case. As an AI Engineer, my core work covers retrieval-augmented generation pipelines, agentic workflows with tool calling and structured outputs, prompt engineering, and LLM integration with OpenAI, Anthropic, and Gemini APIs. This is the kind of system clients need an AI Engineer for: not a chatbot that answers FAQs, but an agent that retrieves the right information, calls the right tools, and follows through on what the user actually needs, with hallucination reduction and evaluation built in from the start. As a Machine Learning Engineer and Data Scientist, I build systems for structured and time-series data: demand forecasting, anomaly detection, biomedical signal analysis, and structural health monitoring. My data scientist workflow covers Python, scikit-learn, pandas, NumPy, and SciPy alongside deep learning frameworks including TensorFlow, PyTorch, and Keras, with experiment tracking and evaluation metrics to ensure models perform consistently in production. When a project needs predictive or classification models alongside the AI agent itself, I own that layer too as a Machine Learning Engineer. As a Computer Vision Engineer and software engineer, I build object detection, multi-object tracking, pose estimation, and image segmentation systems using OpenCV, YOLO, and deep learning architectures. Where this intersects with the AI Engineer work is in multimodal systems and computer vision agents: I work with Vision Language Models (VLMs) to build AI pipelines that understand images and video, not just text. Most AI Engineers only work with text. I bring production computer vision and deep learning experience on top of the LLM layer, which matters for any product where the AI needs to see, not just read. On the engineering side, I work as a Python developer and software engineer building backend services with FastAPI, vector databases including Pinecone and pgvector, and LangChain or custom orchestration for multi-step agent logic. When a project needs full ownership of both the AI layer and the surrounding application, I work as a Full Stack AI Developer, handling backend APIs, database design, and frontend integration so the AI system ships as a complete product, not just a backend script. I work with a specialized team that includes a computer vision PhD, deep learning researchers, and mathematical optimization specialists. This lets me scope larger systems, split orchestration, retrieval, and evaluation work across the team, and deliver a full AI Engineer and Machine Learning Engineer engagement faster than a solo contributor could, with the software engineering discipline of clean APIs, logging, and testing baked in from day one. Clients typically work with me when they need: - an AI Engineer to build a RAG pipeline, AI agent, or chatbot that actually works in production - a Machine Learning Engineer or Data Scientist to build predictive models or structured data pipelines - a Computer Vision Engineer to add visual understanding or VLM-based reasoning to an AI product - a Software Engineer who understands LLM orchestration, tool calling, vector search, and backend architecture - a Python developer who can own the full stack from model training to deployed API If you need an AI Engineer and a software engineer with the full stack from prompt design to production deployment, let's talk. Main stack: Python, OpenAI API, Anthropic Claude, Gemini, LangChain, LangGraph, LlamaIndex, FastAPI, Pinecone, pgvector, TensorFlow, PyTorch, Keras, OpenCV, YOLO, Docker, PostgreSQL, JavaScript, Git.

Hello, With 12+ years of experience in Computer Vision and software development, I have worked with global companies to build high-performance applications. My expertise spans modern C++ development, AI-driven solutions, and full-stack application design, delivering scalable and efficient software. ✅ Computer Vision & AI Proficient in OpenCV, ONNX Runtime, TensorRT, OpenVINO, MVTec HALCON, YOLO, RF-DETR, DeepSORT, PaddleOCR, Tesseract OCR, EasyOCR, DINO, GroundingDINO, CLIP, SAM, Hugging Face Transformers, Milvus, Albumentations, Scikit-learn, and AWS SageMaker. I develop AI-driven applications for object detection, classification, segmentation, tracking, features extraction, image retrieval, and anomaly detection. I also work with ONNX to optimize AI models for deployment. ✅ 3D Point Clouds Processing Processing Point Clouds using PCL (C++) and Open3D (Python). Train custom models on spatial unorganized point clouds for 3D object detection and segmentation using PointNet++ and RandLaNet. Develop viewer applications for displaying 3D point clouds using VTK. ✅ UI/UX & Application Development I specialize in Modern C++ with Qt (Widgets & QML) and C++Builder, crafting intuitive and high-performance user interfaces. ✅ Web Application Development: Develop Web Applications for SCADA, HMI and Control Systems with using Qt QML & WebAssembly ✅ Cloud & AWS Integration I leverage AWS services (SageMaker, S3, Lambda) to deploy and scale AI/ML applications efficiently. I also integrate AWS with C++ SDK for seamless cloud communication. ✅ Networking & Web Communication Experienced in TCP/IP, REST APIs, WebSockets, and Web Services, ensuring robust connectivity and real-time communication in applications. ✅ Embedded & Industrial Communication I work with UART, RS-232/485, OPC UA, CAN Bus, Modbus, Bluetooth, and NFC, enabling seamless integration with embedded systems and industrial devices. ✅ Build, CI/CD & Version Control Proficient in CMake, Conan, Docker, Jenkins for build automation and Git, Mercurial for efficient version control and collaboration. Whether you need a high-performance application, AI-powered computer vision solution, or cloud-integrated system, I bring efficiency, scalability, and reliability to your projects. Let's build something exceptional together! Yours Sincerely, Mahmut Veli

Most AI/ML projects work in notebooks — but fail in production. I build the ones that actually run. I’ve led production AI systems in real-world environments, including large-scale energy solutions for ENGIE Brasil. I design and deploy end-to-end AI systems that handle incomplete data, noisy signals, and real-world constraints. I’m a Data Scientist and AI Engineer with a Ph.D. in Cognitive Science and 12+ years of experience. On Upwork, I’ve delivered 25+ projects, $50K+ in earnings, and maintain a 100% job success score as a Top Rated Plus freelancer. My work goes beyond modeling — I build systems that integrate into real workflows. I’ve built: * LLM-based systems (RAG pipelines, AI assistants, internal copilots) * Automation agents and decision systems * Time series models for energy, anomaly detection, and predictive maintenance I work best with clients who want to build something real — not just experiments. If you already have data and a clear problem, I can help you turn it into a working system.