I build at the intersection of machine learning for healthcare and robotics, with a strong interest in data-driven, reliable, and human-centered systems.
I enjoy taking ideas from concept to implementation by combining data, code, and hardware to solve real-world problems.
- Machine learning for healthcare applications
- Robotics and embedded systems
- Intelligent systems that integrate perception, data, and control
- Machine learning for healthcare and clinical decision support
- Data-driven rehabilitation and assistive technologies
- Intelligent perception for robotic systems
- Reliability, safety, and standards in ML-enabled healthcare systems
- Languages: Python, C, C++
- ML and Data: NumPy, pandas, scikit-learn
- Hardware: Microcontrollers, sensors, FPGA workflows
This GitHub contains:
- ML projects focused on healthcare
- Robotics and embedded systems builds
- Well-documented learning and prototype projects
Each repository reflects my focus on building systems that are clear, functional, and extensible.
I am open to collaboration, learning, and building impactful systems.
Feel free to explore my work or reach out.