I am currently working as a Machine Learning Engineer at Beam AI and a Research Intern at the Empathic Computing Laboratory, University of South Australia. I specialize in Artificial Intelligence, Computer Vision, and Robotics. My expertise lies in developing innovative, data-driven solutions to address complex challenges, with a focus on scalability and efficiency.
- AI & Machine Learning: Building intelligent systems using advanced machine learning techniques.
- Computer Vision: Developing vision-based solutions for automation and real-time systems.
- Robotics: Exploring SLAM, path planning, and control systems.
- Open Source Collaboration: Contributing to meaningful open-source projects.
- Advanced Machine Learning with Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG).
- Deep Learning techniques for signal processing and classification.
- Enhancing object detection and segmentation models using YOLOv8.
- Multimodal approaches combining AI and Robotics for real-world applications.
- AI Research Projects: Let’s explore innovative solutions using state-of-the-art models.
- Robotics Systems: Collaborate on building autonomous robotic systems.
- Open Source Initiatives: Developing tools and solutions for the community.
- Tech Education Platforms: Sharing knowledge and mentoring aspiring developers.
I’m inspired by Boston Dynamics’ robotic systems and aim to contribute to robotics technology to reduce redundant tasks and benefit humanity. When not coding, I enjoy mentoring students and working on impactful research projects.