Hire the Best Computer Vision Engineers
in Turkey

I’m a Machine Learning Engineer with hands-on experience building, deploying and scaling production ML systems that deliver measurable business value. I design end-to-end solutions across Deep Learning, Computer Vision and Natural Language Processing, and I pair strong research knowledge with pragmatic engineering and MLOps practices to ensure reliability and performance in production. Core Expertise: - End-to-end ML solutions: problem framing, data pipeline, model selection and training, deployment, monitoring, and iteration. - Computer Vision: CNN architectures, object detection, instance/semantic segmentation, OCR pipelines, and face recognition systems. - NLP & Transformers: fine-tuning BERT-style models, text classification, sentiment analysis, named entity recognition, and retrieval-augmented workflows. - Robust MLOps: model optimization, CI/CD for ML, containerization, automated testing, monitoring and cost-efficient deployment. Technical Highlights: - Languages: Python, C/C++, SQL, CUDA. - Frameworks: TensorFlow, PyTorch, Keras, OpenCV, scikit-learn, NLTK, Pandas, NumPy. - Backend & API: Django, Flask, FastAPI; Streamlit & Gradio for demos. - Databases & infra: PostgreSQL, MySQL, MongoDB, vector DBs (Pinecone, ChromaDB); Docker; AWS (SageMaker), GCP (Vertex AI), Azure ML. How I Work: - Clean, maintainable code and modular architectures designed for scale. - Transparent communication, regular updates, clear timelines, and actionable demos. - Focus on delivering reliable solutions that align with business KPIs. If you’d like, I can evaluate your project and propose a phased plan with milestones, deliverables and a timeline. Let’s discuss how to turn your ML idea into production-ready value.

Artificial Intelligence Engineer with 3+ years of experience developing computer vision algorithms and deploying real-time AI solutions at the edge. Proven expertise in Edge AI, IoT-integrated systems, and scalable backend design for anomaly detection and visual inspection in industrial environments.

I'm Doğuş Can Korkmaz, an experienced Artificial Intelligence Engineer specializing in computer vision, deep learning, and autonomous systems. With an MS in Computer Engineering from Istanbul Technical University, I bridge advanced research with practical applications, creating robust, scalable AI-driven solutions. My professional journey includes roles such as Artificial Intelligence Engineer at GönderAL Payment Services, where I developed document processing and OCR pipelines leveraging advanced Vision-Language Models, and as Perception and Vision Engineer at DELIVERS.AI, crafting real-time perception systems and cloud-native infrastructures for autonomous last-mile delivery robots. As a freelance developer, I’ve executed complex projects including multimodal image generation, unsupervised crop classification, and object detection workflows. My experience at Albert involved building Retrieval-Augmented Generation (RAG) systems, enhancing semantic extraction through large language models. Key Expertise: * Computer Vision: Semantic segmentation, object detection, and tracking optimized for real-time deployment (Nvidia Jetson, TensorRT, CUDA). * AI Model Development: Advanced document understanding, generative AI workflows, and LLM integrations. * Cloud & MLOps: Comprehensive deployment experience across AWS, Azure, and GCP, including RESTful APIs and scalable infrastructures. * Programming & Frameworks: Proficient in Python, PyTorch, OpenCV, ROS, FAISS, LangChain, and advanced ML libraries. With a proven record of innovation, highlighted by international hackathon awards and leadership roles in autonomous robotics projects, I’m committed to transforming ambitious concepts into intelligent, practical systems. Let's collaborate to turn your vision into impactful real-world AI solutions.

👁️‍🗨️ AI Engineer | Computer Vision Specialist | Image Processing & ML Developer 🎯 Transform Complex Challenges into Scalable AI Revenue Engines I build smart AI and Computer Vision systems that automate complex tasks, transform data into insights, and solve real-world problems—fast, clean, and at scale. With a strong academic background and a hands-on mindset, I turn data and ideas into clean, deployable tools. I'm currently pursuing a Master’s degree in Computer Vision and AI at Bursa Technical University, combining academic depth with real-world project execution. Whether you're looking to process images, train deep learning models, or automate decision-making pipelines—I'm here to help. ✅ What I Bring to the Table (Backed by Code & Results): 💡 2+ years of hands-on experience in: -AI & ML Development: Classification, Regression, Clustering -Deep Learning: CNNs, RNNs using TensorFlow, Keras, PyTorch -Computer Vision: Object Detection, Image Segmentation, Feature Extraction -Image Processing: OpenCV, PIL, MATLAB Image Toolbox, Scikit-Image -Data Analysis: Google Data Analytics Certificate | Pandas, NumPy, Seaborn -Web Scraping: BeautifulSoup, Selenium, Scrapy -Automation: OpenAI GPT-4o, LangChain, Make.com workflows -Programming Languages: Python & MATLAB (full project lifecycle experience) -Deployment & Prototyping: Streamlit, Flask, Google Colab, Jupyter, Git 🧠 Domain Focus: 📸 Computer Vision -Real-time image classification and detection -Medical imaging, industrial inspection, visual automation pipelines -OpenCV, Scikit-Image, YOLO, custom-trained CNNs 🖼️ Image Processing -Noise reduction, filtering, thresholding -Edge detection, histogram equalization -Morphological operations & feature extraction -Image transformation, ROI analysis, multi-channel manipulation -OpenCV, PIL, MATLAB Image Toolbox, Scikit-Image 🤖 AI & Deep Learning -GPT-based agents & intelligent chatbots -Predictive modeling & data-driven decision systems -Custom models trained on proprietary datasets 🧹 Data Workflows -From scraping raw data to training models -Feature engineering, cleaning, and exploratory analysis -Data visualization dashboards with Python 🎓 Background & Certifications: -MSc in AI & Computer Vision – Bursa Technical University (in progress) -BSc in Electrical and Electronics Engineering with focus on interdisciplinary smart systems -Google Data Analytics Professional Certificate -Strong blend of theoretical knowledge + practical implementation Why Clients Choose Me: ✅ End-to-End Project Ownership – from data collection to AI deployment 💬 Communication-First Approach – clear updates, transparent timelines 📄 Clean Code & Docs – modular, scalable, easy to maintain Flexible Collaboration: Comfortable with agile workflows, research-based prototyping, or fast execution 📩 Let’s Solve It with AI. Whether you're a startup or a research team, I’ll help you: Build vision-based tools or AI assistants Automate data-heavy workflows Train and deploy ML models that work at scale 🎁 Free AI Roadmap: Tell me your biggest challenge—I’ll send back a tailored technical gameplan (free of charge, no commitment). Available for fixed-price or hourly projects. Confidentiality guaranteed.

Hi, I am an AI & Machine Learning Engineer specializing in Perception 3D, Computer Vision, Edge Computing, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Chatbot Development, Generative AI, Embedded Systems, and Firmware Development. Please get in touch if you need help with the following: • Machine Learning & Deep Learning model development • Computer Vision tasks like object detection, segmentation, and 3D reconstruction • Natural Language Processing (NLP) including text mining, sentiment analysis, and chatbots • Generative AI models for stock prediction, image inpainting, and virtual clothing • Time-Series Forecasting and Anomaly Detection • Firmware development for microcontrollers (ESP32, STM32, PIC) and IoT devices • Schematic and PCB design using Altium, KiCad, Eagle, and EasyEda • AWS IoT Core setup and cloud integration for IoT projects • Device driver development for various peripherals (I2C, SPI, etc.) • AI Deployment & MLOps with AWS, GCP, Docker, and Kubernetes • Data Analysis & Visualization for business intelligence Tools and technologies I use: • Python, C++, R, JavaScript • TensorFlow, Keras, PyTorch, Scikit-Learn, HuggingFace, LangChain • Zephyr RTOS, FreeRTOS, ESP-IDF • Flask, Django, Node.js • AWS IoT Core, GCP, Docker, Kubernetes • Altium, KiCad, Eagle, EasyEda • MongoDB, MySQL, PostgreSQL, Cloud SQL • Pandas, NumPy, Matplotlib, Seaborn, SciPy Do reach out if you need something other than this, I may be able to help out and guide.

I am an AI/ML practitioner with a passion for academic research. I have PhD in Computer Science from the City University of New York (CUNY). I have extensive research and development experience in the industry. My area of expertise includes AI, machine learning, deep learning, computer vision, NLP, data science, privacy enhancing technologies, federated learning, reinforcement learning, and telecommunication. While working in the industry, I have been also involved in many academic research studies, and have 30+ scientific articles published in prestigious conferences and journals. My computing skills: Very proficient with deep learning and machine learning algorithms (e.g. supervised & unsupervised algorithms, reinforcement learning, LSTM, SVM, decision trees, KNN, RF, and more – have publications on these issues) Very proficient with computer vision techniques such as object recognition (by YOLO), image classification (by CNN), biometric identification by siamese networks. Very proficient with privacy-preserving ML solutions such as federated learning, differential privacy, multiparty computation (have publications on this issues) Very proficient with NLP issues such as vectorization, word embeddings, text segmentation and classification Very proficient with programming in Python, C and C++ Very proficient with Tensorflow and Scikit-Learn Machine Learning Frameworks Very proficient with image processing techniques by OpenCV Very proficient with vulnerability detection on source code by ML Very proficient with Network Simulator (ns-3) Proficient with Bash Shell scripting on Linux operating system Experience with AWS, SQL, MATLAB, Nmap, Wireshark, Backtrack, Wmware Experience with ROS (Robot Operating System) and Gazebo simulation