
Hello World!
I'm Ameya Wagh,
Robotics Graduate Student
at Worcester Polyetchnic Institute.
aywagh@wpi.edu
About Me
I am a passionate roboticist and experienced embedded systems engineer with a demonstrated history in IoT and e-learning industry. I am currently pursuing MS in Robotics at WPI and self-driving car engineer nano degree from Udacity. My current research at WPI includes Robot Perception inclined towards 2D computer vision and 3D Point Cloud processing. I am proficient in Python, C, C++, and bash, and machine learning frameworks such as Scikit-learn, Keras, PyTorch, and Tensorflow. My research interests include computer vision, machine learning, deep learning, embedded systems, and IoT. After my graduation, I plan to work in the self-driving car industry. Portfolio: http://www.ameyawagh.info Github: https://github.com/AmeyaWagh
Experience
- Working with Prof. Emmanuel Agu on diabetic wounds analysis (NIH funded) with semantic segmentation techniques using U-Net and conditional random fields.
- Developed a semi supervised image annotation software for ground truth labeling of wound image dataset using Deep Extreme Cut.
- Developed automated code evaluation softwares for ARM7 and ARM Cortex M4 for the GradeME platform. link.
- Lead a team of 4 in developing IoT software stack for devices such as ESP8266 and Raspberry Pi and implemented its REST API framework for Eduvance IoT lab offering
- Conducted Student and professional training sessions on ARM Cortex M0+ and Programmable System on Chip microcontrollers in association with ARM and Cypress university programs.
- Developed hardware-based embedded system code evaluation platform for ARM Cortex M0 series microcontrollers.
Education
- Currently pursuing MS in Robotics Engineering. (GPA 4.0/4.0 SEM 2)
- Relevant Coursework: Foundation of Robotics, Computer Vision, Artificial Intelligence, Robot Dynamics, Robot Control
- Secured Bachelor of Electronics and Telecommunication Engineering with Distinction (CGPA of 8.19/10).
- Relevant Coursework: Microprocessors and Microcontrollers, OOP, Operating Systems, Image Processing, Computer Networks