Problem Solver
Drew Conyers
Areas Drew Conyers is Knowledgeable in:
Power systems engineering, data analytics, deep learning, and product design
Techniques Drew Conyers Uses:
My problem solving techniques involve prioritizing practical and cost-effective solutions that are straightforward and easy to implement.
Drew Conyers's Problem Solving Skills:
- Scikit-learn
- OpenCV
- TensorFlow
- Azure
- C++
- Java
- Machine Learning
- Python
- Product Design
Drew Conyers's Problem Solving Experience:
- Developed various engineering medical applications through research lab at UT Austin: Computer Vision Vein & Artery Detection for da Vinci Robotic System, Delayed Teleoperation Training using EEG Data for da Vinci Robotic System, Commercialization of Flexible Drilling Device for Orthopedics and Neurosurgery, Data Driven Tissue Manipulation da Vinci Robotic System.
Research and development of self powered IoT device using plants as a fuel source.