Graduate Research Assistant

• Aug 2023 - Present

Working with Prof. Rebekka Burkholz on theory and practical concepts related to sparsity in deep learning with a focus on Lottery tickets.

Graduate Research Assistant

• Jul 2022 - Jul 2023

Working under the supervision of Prof. Sebastian Stich on deep learning theory and distributed learning paradigms (Federated Learning).

Researcher

• Nov 2020 - Jul 2022

Decentralized, Volunteer driven research collective with members collaborating on cutting edge applications of deep learning research. Decentralized, Volunteer driven research collective with members collaborating on cutting edge applications of deep learning research.

Junior Deep Learning Research Scientist

• Jul 2020 - May 2021

- Working on Remo.ai, a data management platform to organize, annotate and visualize data for various computer vision tasks. - Worked on integrating Remo.ai more tightly with popular deep learning frameworks. - Adding new functionalities to the open source remo-python SDK. - Developed integration points, and tutorials for multiple deep learning tasks including but not limited to Image Classification, Object Detection and Instance Segmentation. - Working on Remo.ai, a data management platform to organize, annotate and visualize data for various computer vision tasks. - Worked on integrating Remo.ai more tightly with popular deep learning frameworks. - Adding new functionalities to the open source remo-python SDK. - Developed integration points, and tutorials for multiple deep learning tasks including but not limited to Image Classification, Object Detection and Instance Segmentation.

Deep Learning Intern

• Mar 2020 - Jun 2020

Started and designed a pipeline Media restoration, up-scaling and transformation using deep learning. This included but was not limited to – De-noising, artifact removal and super-resolution. Also includes edge deployment with relevant performance engineering optimization for multimedia applications Started and designed a pipeline Media restoration, up-scaling and transformation using deep learning. This included but was not limited to – De-noising, artifact removal and super-resolution. Also includes edge deployment with relevant performance engineering optimization for multimedia applications

Founder

• May 2019 - May 2020

Founded SRM Machine Intelligence Community, for enabling a culture of undergraduate led research in Machine Intelligence. Founded SRM Machine Intelligence Community, for enabling a culture of undergraduate led research in Machine Intelligence.

Machine Learning Researcher (Consultant)

• Sep 2019 - Dec 2019

Ported over 22+ models across various Computer Vision and NLP tasks including but not limited to Generative, Processing and Task Specific Models to augment creatives and artists to work with Deep Learning. Worked to optimize performance on the platform and simplify user interaction for ensuring accessibility. Ported over 22+ models across various Computer Vision and NLP tasks including but not limited to Generative, Processing and Task Specific Models to augment creatives and artists to work with Deep Learning. Worked to optimize performance on the platform and simplify user interaction for ensuring accessibility.

Artificial Intelligence Researcher & Board Member

• Aug 2016 - Oct 2019

1. Board Member till March 2019, worked in a leadership role managing an interdisciplinary research lab with 150+ working in the field of Artificial Intelligence, AR/VR, Electrical Systems, Blockchain and Computational Biology. 2. Researcher in the field of applications of deep neural networks in Computer Vision, NLP with a specific focus on Creativity, performance engineering and interdisciplinary applications. 3. Mentored associates at the lab on the theory and applications of the fundamentals in artificial intelligence and deep learning, and took classes and acted as a project adviser. Show less

Deep Learning Consultant

• Aug 2019 - Aug 2019

Worked as a deep learning consultant for Intel AI for education -- mentored high school students through the process of ideation, planning and execution of artificial intelligence projects. Worked as a deep learning consultant for Intel AI for education -- mentored high school students through the process of ideation, planning and execution of artificial intelligence projects.

Deep Learning Intern

• Jun 2019 - Jun 2019

Working on Projects Related to : 1. Automatic Speech Recognition for Endangered Languages using Kaldi ASR and PyTorch Kaldi. This involves the complete process from Data Acquisition, Pre-Processing Recipe, and Distributed Training and Deployment. 2. Deep Learning optimization on Edge devices for Computer Vision, via Performance Engineering at the compiler Level, custom operations and tuning. Working on Projects Related to : 1. Automatic Speech Recognition for Endangered Languages using Kaldi ASR and PyTorch Kaldi. This involves the complete process from Data Acquisition, Pre-Processing Recipe, and Distributed Training and Deployment. 2. Deep Learning optimization on Edge devices for Computer Vision, via Performance Engineering at the compiler Level, custom operations and tuning.

Undegraduate Researcher

• Sep 2018 - Dec 2018

Worked at Responsive Environments group Advised by Prof Joseph A Paradiso and Ishwarya Ananthabhotla. Worked on the confluence of deep learning, signal processing and cognitive science for working on stylistic manipulation of music for information delivery. Worked at Responsive Environments group Advised by Prof Joseph A Paradiso and Ishwarya Ananthabhotla. Worked on the confluence of deep learning, signal processing and cognitive science for working on stylistic manipulation of music for information delivery.

TA and Workshop Exec

• Sep 2018 - Dec 2018

Presented at Reading Groups and was a Teaching Assistant for the Deep Learning workshop series conducted by the community. Presented at Reading Groups and was a Teaching Assistant for the Deep Learning workshop series conducted by the community.

Vice Chair

• Jul 2017 - Jul 2018