Results-driven Mechatronics Engineer with hands-on expertise in AI, Computer Vision, and Autonomous Systems. Delivered production-ready solutions including a full-stack delivery robot (23-package ROS 2 architecture) and a real-time driver monitoring system achieving 99.8% accuracy — both deployed in real-world environments. Passionate about building intelligent systems at the intersection of robotics and generative AI.
- Computer Vision, Deep Learning, NLP, Generative AI (LLMs, GANs, Transformers, RAG)
- Machine Learning, Reinforcement Learning, Prompt Engineering
- Deep Learning: PyTorch, TensorFlow, Keras, Hugging Face
- Computer Vision: OpenCV, YOLO, MediaPipe, InsightFace
- Data Science: Scikit-learn, Pandas, NumPy
- Development: Docker, Git, Linux, Streamlit, Android Studio
- ROS 2, Nav2, SLAM, Path Planning, Sensor Fusion (EKF)
- Languages: Python, C++, C, SQL
- Embedded: Raspberry Pi, Arduino, Microcontrollers, Sensors (LiDAR, IMU)