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

Research Assistant
May 2018 – Present
Worcester, MA, USA
  • 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.
System Engineer
Jul 2016 – Jun 2017
Eduvance, Mumbai Area, India
  • 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
Intern
Jun 2016 – Jul 2017
Eduvance, Mumbai Area, India
  • Conducted Student and professional training sessions on ARM Cortex M0+ and Programmable System on Chip microcontrollers in association with ARM and Cypress university programs.
Intern
Dec 2015 – Jan 2016
Eduvance, Mumbai Area, India
  • Developed hardware-based embedded system code evaluation platform for ARM Cortex M0 series microcontrollers.

Education

Worcester Polytechnic Institute, MA, USA
August 2017-2019
  • 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
Fr. C. Rodrigues Institute of Technology, Mumbai, India
August 2012-2016
  • 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

Skills

PROGRAMMING LANGUAGES
Python
C/CPP
JAVA
HTML and CSS
SOFTWARE FRAMEWORK
ROS
MATLAB
SOFTWARE LIBRARIES
PyTorch
Tensorflow
Keras
SciKit-Learn
OpenCV
PCL

Portfolio

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Self Driving Car

Robocon

Artificial Intelligence

WHRL-WPI Humanoid Robotics LAB

ELECTRONIC TABLA (MIT MEDIA LABS-DESIGN INNOVATION INDIA)

Design Innovation is an initiative by MIT Media Labs to encourage innovation. I was part of Sensors across scale track where I teamed up to build Electronics Table also know as TAAL. Unlike any other musical instruments a traditional tabla did not undergo any revolution. So we decided to add some modern technology to it. We interfaced capacitive touch sensors to the frame of tabla and those were interfaced over arduino to a sound processing software ABLETON over arduino midi interface. We implemented various filters on the sound coming from tabla so to add a new dimention to it.

IoT LAB (Eduvance)

I was product lead for IoT lab offering by Eduvance. I worked on ESP8266 and HTML5 to create IoT lab devices. Also created REST APIs over GET requests so that it can be used in any IoT applications. To know more about these products follow the link IoTlab product page

LPC2148 Grader-GradeME (Eduvance)

GradeME is another offering by Eduvance which is a skill development and assesment platform. I made a module to test an individual's skill on ARM7 architecture using LPC2148. Whole module was written in python2.7 and using LPC2148 simulator. It evaluated skills of a student on concepts based on ARM7 using programming assignments given to him using checkpoints based approach. The module was implemented as a web worker and communicated to the platform using GradeMe framework. Follow the link to checkout GradeMe

Publications

Design and implementation of advanced auto calibrating line following sensor for coloured surfaces with a white line
Samruddhi P.,Ameya W.,Mitali S.,Saurav P.,Aditya B.
2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES)
http://ieeexplore.ieee.org/document/7853535/
Citations: 1
A low cost portable oscilloscope for educational platforms using a Programmable System on Chip
Ameya W., Zalak D., Gaurav S., Varun D., Abhay T., Sachin G.
Advances in Communication and Computing Technologies (ICACACT), 2014 International Conference
http://ieeexplore.ieee.org/document/7853535/
Citations: 2
Implementation of MOSFETs in a closed loop H-Bridge motor driver using charge pumps
Ameya W.,Nilay S.,Jonathon J.
India Conference (INDICON), 2015 Annual IEEE
http://ieeexplore.ieee.org/document/7853535/
Intelligent Workplace Assistant
Aditya S., Ameya W., Aditya B., Onkar G., Ashish H.
International Journal of Soft Computing and Artificial Intelligence, ISSN: 2321-404X,
http://www.iraj.in/journal/journal_file/journal_pdf/4-204-145127939880-83.pdf