Specializing in machine learning, deep learning, and AI system architecture. Passionate about creating intelligent solutions that solve real-world problems.
6+ years of Python development for AI/ML applications. Extensive experience with TensorFlow, PyTorch, scikit-learn, and data science libraries. Built production-ready ML pipelines and APIs.
3+ years of C/C++ experience in performance-critical applications. Deployed CV algorithms in C++ and optimized ML model inference on microcontrollers using C.
2+ years of experience developing with React and Next.js. Built a personal portfolio and created lightweight web apps for AI tools and demos.
Skilled in developing and deploying CV algorithms, including detection, tracking, and segmentation, with expertise in model optimization, real-time inference, and tools like OpenCV, TensorFlow, and PyTorch.
Proficient in developing ML models for classification, regression, and forecasting tasks. Experienced with algorithms like decision trees, neural networks, and ensemble methods, using tools such as TensorFlow, Pandas and scikit-learn.
Experienced in analyzing complex datasets using Python, Pandas, and SQL. Skilled in data cleaning, visualization, and extracting insights to support decision-making and model development in AI projects.
Skilled in building backends with Flask and Django for AI-driven web apps. Experienced in API design, database integration, and deployment.
Strong foundation in algorithms and data structures.
Built a web platform that analyzes surgical videos with multi-AI modules, and generates multi-dimensional analysis results.
Developed an object detection model for surgical instruments and deployed it to a mobile application using Unity.
Built an open source GUI for object detection, segmentation, and tracking using Ultralytics YOLOv8/YOLO11 on video, image, and live stream sources.
Collaborated with Stuttgart University and industry partners to develop an AI model that predicts battery SOC, SOH, and SOF by analyzing volume changes in cells. Successfully deployed the model on a microcontroller, achieving 98% accuracy.
Developed a remote tower solution for air traffic control using AI and computer vision technologies. The system provides air traffic controllers with a real-time panoramic video feed of the airport environment, complemented by automated object detection and tracking. This enhances safety and efficiency of air traffic.
Developed a web application for retail sales forecasting using AI to optimize supply chain management. Researched forecasting algorithms and implemented backend for model training, evaluation, and inference.