Jan 2023 – Aug 2025 · 2 yrs 7 mos · United States · On-site

May 2022 – Aug 2022 · 3 mos · Santa Clara, California, United States

Jul 2020 – Aug 2021 · 1 yr 1 mo · Gurgaon, Haryana, India

Jan 2020 – Jun 2020 · 5 mos · Bengaluru, Karnataka, India

• Worked as a part of the Edge ML group on Keyword Detection on small scale devices where we developed a phoneme detection framework to convert speech to phonemes. We built a classifier on top of the phoneme detector to detect the keywords.
• Mentors: Harsha Vardhan Simhadri, Prateek Jain

Jul 2019 – Dec 2019 · 5 mos · New Delhi Area, India

• Teaching Assistant for the course of ELP212:(Electromagnetism Lab)

Feb 2018 – Jun 2020 · 2 yrs 4 mos · New Delhi Area, India

• Working on Developing Deep Reinforcement Learning Algorithms for Planning problems of variable sized Graphs.

May 2019 – Jul 2019 · 2 mos · Greater Los Angeles Area

• Worked on integrating the temporal knowledge graphs and time series attributes. Designed a new Neural Network Framework to predict future graphs and attributes. I was selected as a part of the IUSSTF-Viterbi Scholarship 2019.

May 2018 – Aug 2018 · 3 mos · Singapore

• I have worked on Explainable AI for Food Recommendation Systems under Prof Brian Lim, NUS, and implemented a Natural Language Conversation System capable of answering questions in the form of a dialog. I have implemented a Deep Ingredient Classifier capable of predicting food categories and ingredients in the given food image. The project aimed to develop a system capable of explaining the food recommendation provided by dieting apps and adapt to user needs.

May 2017 – Jul 2019 · 2 yrs 2 mos · New Delhi Area, India

• Working on Developing Deep Learning Algorithm for Fall Detection in the elderly people using acceleration signal from an accelerometer attached to the body. Supervised by Prof Deepak Joshi.