Jan 2025 – Jul 2025 · 6 mos · Edinburgh, Scotland, United Kingdom · On-site

• Working on efficient watermarking in diffusion models in the Generative AI Laboratory (GAIL) at the University of Edinburgh.
• Supervisors and Collaborators: Marc Juarez Miro, Joschka Roffe, Markulf Kohlweiss, Luo Mai

Jul 2024 – Dec 2024 · 5 mos · London Area, United Kingdom · On-site

• Working on Mixture of Experts (MoE) for performing autoregressive, interleaved multi-modal generation.

Jan 2023 – May 2023 · 4 mos · Edinburgh, Scotland, United Kingdom · On-site

• Working as teaching assistant and marker for Machine Learning Practical (MLP) course offered within the school of informatics

Jan 2021 – Mar 2021 · 2 mos · New Delhi, Delhi, India

Jun 2020 – Jul 2021 · 1 yr 1 mo

• 1. Working under Dr. Hari Trivedi on detection, localization of spine hardware and classification of hardware brand using X-Ray reports.
• 2. Working with Dr. Imon Banerjee and Dr. Judy Gichoya on Generalizability of Deep neural networks on chest radiographs.
• 3. Working on the identification of Melanoma in lesion images for challenge organized by Society for Imaging and Informatics in Medicine (SIIM).

Jan 2020 – Jun 2020 · 5 mos · New Delhi Area, India

• 1. Worked under Dr Tavpritesh Sethi on the prediction of Hemodynamic Shock from Thermal Images and Videos in collaboration with AIIMS, Delhi.
• 2. Worked on Visualization of the attention heads of the model using gradCAM and other interpretation methods.
• 3. Implemented and studied different strategies for domain-specific model pretraining and evaluation on highly imbalanced medical datasets.

May 2019 – Aug 2019 · 3 mos · New Delhi Area, India

• 1. Working in the Computational Biology laboratory under Dr GPS Raghava on the application of machine learning on protein sequences for Allergen / Non-Allergen prediction.
• 2. Implemented ensemble machine learning models such as Bagging, Boosting, Voting and Cascaded-classifiers.
• 3. Handled feature selection and reduction using Recursive Feature Elimination and Principal Component Analysis.

Jan 2019 – Jul 2020 · 1 yr 6 mos · New Delhi Area, India

Nov 2018 – Jan 2020 · 1 yr 2 mos · New Delhi Area, India

• 1. Organized HackData - a 30-hour long hackathon in which 150+ teams participated.
• 2. Organized ACM Talks where eminent faculties from different institutions around the country visit and give a talk on a topic of their interest. Till now, we have had the honor of having -
• Dr. Vineeth Balasubramanium on Deep Learning and Computer Vision
• Dr. Sandeep Sen on Randomized Algorithms

Jul 2018 – Dec 2019 · 1 yr 5 mos · New Delhi Area, India

• Working under Dr. N Sukumar (Head, Center of Informatics and Professor, Department of Chemistry) on 'Application of Capsule Nets in Pharmacophore-based virtual high-throughput screening' with an aim to circumvent the 3D QSAR problem in pharmacophore-based drug modeling.
• Github Link: https://github.com/Raman1121/OUR-2018

May 2018 – Jul 2018 · 2 mos · Gandhi Nagar, Gujarat, India

• Selected to work with the professors of Indian Institute of Technology Gandhinagar, as a part of the Summer Research Internship Program (SRIP). Working under professor Shanmugathan Raman on Computer Vision and Digital Image processing.

May 2018 – Jul 2018 · 2 mos · Gandhinagar

• Selected amongst 300 students all over the country for Summer Research Fellowship Program 2018 by Indian Academy of Sciences.

Dec 2017 – Jan 2018 · 1 mo · New Delhi Area, India

• Worked under Professor Bibhu Biswal and Professor Abhijeet Kumar Parmar on analysis of speech recordings and corresponding text transcripts.
• The system learns the pronunciation of character, phonemes, and word in the voice by listening to the human audio inputs.