Experience
Work Experience
Intern- Product RD and Infrastructures- US Applied Research Center, ByteDance, Mountain View, CA, May–August 2022
- Conducted an extensive survey on a new area of research- Foundation Models (FM) and its implementation.
- Proposed a research approach to using FMs in a federated learning setting, combining distributed training, aggregation, and online temporal updating of FMs.
- Designed a proof-of-concept implementation of above approach to introduce high performance and communication-efficient federated multi-task learning for ByteDance products.
Applied Scientist Intern, Alexa AI, Amazon, Seattle, WA, May-August 2021
- Worked on the NLP engine of Alexa to enhance its contextual question-answer capability.
- Implemented Contextual Bandits and Experience Replay to improve follow-up question-answering by 17%.
- Introduced and implemented Online Learning pipeline for continual training and adaptation of the model.
Research and Development Engineer, Mentor Graphics, Noida, India, June 2016-July 2017
- Developed sink interface of Embedded Display Port (eDP) protocol for energy-efficient single stream transport using System Verilog and C++.
- Improved the simulation verification mechanism by developing a universal check script in Perl.
Teaching Experience
- Head of Content Development, Course on Optimization Models in Engineering (EECS 127/227AT), UC Berkeley, with Prof. Venkat Anantharam, Fall 2020
- Content Developer, Course on Optimization Models in Engineering (EECS 127/227AT), UC Berkeley, with Prof. Alexandre M. Bayen, Fall 2019
Professional Services
- Lead Organizer: Tackling Climate Change with Machine Learning at ICML 2021.
- Organizer: Tackling Climate Change with Machine Learning at NeurIPS 2021.
- Publicity Chair: International Conference on Systems for Energy-Efficient Built Environments (BuildSys) 2022.
- Lead Organizer: International Workshop on Applied Machine Learning for Intelligent Energy Systems at ACM e-Energy Conference 2019, 2020, 2021, 2022, 2023.
- Organizer: 1st Climate Change AI Summer School on Tackling Climate Change with Machine Learning, 2022.
- Reviewer: AAAI Conference on Artificial Intelligence 2022, 2023.
- Reviewer: Tackling Climate Change with Machine Learning workshops at NeurIPS 2019, ICLR 2020, NeurIPS 2020.
- Meta Reviewer: Tackling Climate Change with Machine Learning workshops at ICML 2021, NeurIPS 2021.
- Reviewer: Multimodal Learning and Applications workshop at CVPR 2021, 2022
- Reviewer: European AI4Cities Grant Program
- Reviewer: Journal of Building Engineering
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