Places I have worked at :
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NavLab Robotics Institute - CMU

Research Assistant, Deep learning for infrastructure object detection

The objective of this project is to apply deep learning techniques to develop a detector that can find infrastructure objects in images. The Navlab goup has a large data base of road images taken from inside vehicles. Currently Navlab uses classic computer vision techniques to detect traffic signs and road damage.

We will develop a general detector based on state-of-the-art deep learning that should outperform the current detector and should be expandable to detect other infrastructure objects like fire hydrants or street lights.

Fall 2016
Pittsburgh, Pennsylvania
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Machine Learning Department - CMU

Teaching Assistant

I am currently working as a Teaching Assistant in the Machine Learning Department for the course "Topics in Deep Learning 10-807". Deep Learning is a new course being offered this semester by Prof. Ruslan Salakhutdinov.

My responsibilities as a TA are going to be grading assignments, framing questions for the assignments and exams, answering questions on piazza and during office hours.

Fall 2016
Pittsburgh, Pennsylvania
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NOAH Basketball

Research Intern

NOAH is a company dedicated to providing data analytics solutions in Basketball to improve performance of players. I worked as an intern on doing exploratory computer vision work regarding the recognition of basketball players during basketball training and games. During this internship I have explored face verification using deep learning, player tracking, background subtraction and many other computer vision techniques.

Summer 2016
Pittsburgh, Pennsylvania
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Cylab (Biometrics Center)

Research Assistant

The biometrics center in cyLab, CMU is set up to use biometric data in security applications. I am currently working as a Research Assistant. My role is to refactor code to C++ from python for a face recognition project which uses R-CNN's. Also, they are interested in taking my course project "Video Synopsis" forward and make it better.

May 2016
Pittsburgh, Pennsylvania
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PES Institute of Technology

Project Intern

I worked as an intern for a "Text to Speech project" jointly undertaken by PESIT and IIT Madras. My role was to perform a literature survery on current Machine Learning techniques used to predict prosody in speech. Prosody is the the patterns of stress and intonation in a language. It is the feature that seperates human speech from a monotonic robotic one. Prosody prediction is an unsolved problem in speech processing so I usually found myself reading research papers on current advancements in the time I spent there.

Sep 2014 to Nov 2014
Bangalore, India
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Li2 Innovations

Project Intern

Li2 Innovations is a company which focuses on educating young engineers in the fields of robotics and embedded systems by providing workshops and courses. I took various courses with them entitled Speech Processing Robot, Embedded Systems with MSP430 and Arduino workshops. After the courses, I continued as an intern. My team was working on optimizing code for a 3-D printer. We also worked on using hand-gestures to make a robot change directions.

Jun 2013 to Oct 2013
Bangalore, India