Computational researcher with over 7 years of experience developing vision-based and data-driven systems for healthcare and bioengineering applications. Proficient in Python, OpenCV, TensorFlow, and PyTorch, with expertise in real-time object detection, pose estimation, and 3D reconstruction algorithms. Recognized through publications and awards, demonstrating a strong commitment to advancing computational methods for biomedical research.

Languages & AI/ML:

Libraries: • Ultralytics YOLO • Polars

Hardware: • Teensy • Controllers • Sensors

Design: Autodesk Inventor • Fusion 360 • Meshmixer • Slicer3D

• Computer Vision: Real-time object detection, pose estimation, 3D reconstruction
• Healthcare Applications: Vision-based systems for medical diagnostics
• Bioengineering: Data-driven solutions for biological systems
• Machine Learning: Deep learning models for biomedical applications
• Image Processing: Advanced algorithms for medical imaging

⚡ Currently exploring: Joint kinematics and advanced pose estimation techniques

💡 Always interested in: Collaborating on innovative computer vision projects in healthcare and bioengineering