Jan 2022 – Jun 2022 · 5 mos · Bengaluru, Karnataka, India

• Worked with the NBU Ads team on translating webpages into regional languages for emerging markets.

Jun 2021 – Jul 2021 · 1 mo · Gurugram, Haryana, India

• Worked on improving vision engines for age, gender, sentiment detection to state-of-the-art architectures targeting both accuracy and efficiency.

Jan 2021 – Jun 2022 · 1 yr 5 mos · Chennai, Tamil Nadu, India

• Advisor: Dr. Mitesh M. Khapra
• Proposed a systematic evaluation framework for design and analysis of better NLG evaluation metrics - paper accepted at EMNLP 2021.
• Designed the first of its kind MultiModal CheckList to analyse and subsequently improve the Robustness of Vision Language Models - jointly awarded the Best Dual Degree Project Award at CSE, IIT Madras.
• Worked as a Teaching Assistant under Dr. Balaraman Ravindran for the courses CS5691: Pattern Recognition and Machine Learning & CS6700: Reinforcement Learning.

May 2019 – May 2020 · 1 yr · Chennai Area, India

• Advisor: Dr. Arun Rajkumar
• Developed an algorithm PARWiS for Winner Determination from Active Pairwise Comparisons under a Shoestring Budget - paper accepted at ICDM 2021.
• Designed an algorithm for Active Ranking from Pairwise Comparisons for the cases of Dynamically arriving items and voters - paper presented at CoDS COMAD 2020.

May 2020 – Mar 2021 · 10 mos

• Advisors: Dr. Carlos Fernandez-Granda, Dr. Mitesh M. Khapra
• Developed an Unsupervised Deep Video Denoiser (UDVD) to achieve state-of-the-art denoising of single noisy videos - paper accepted at ICCV 2021.
• Achieved effective denoising on several real-world datasets: raw videos from surveillance cameras, fluorescence microscopy videos of cells, and electron-microscopy videos of catalytic nanoparticles.

Dec 2018 – Dec 2018 · 0 mo

• Implemented a Cloning protocol based on Quantum Reinforcement Learning using the IBM Quantum Experience Platform. DOI: 10.1007/s11128-020-02657-x