Jul 2018 – May 2019 · 10 mos · Chennai, Tamil Nadu, India

• Worked under the mentorship of Prof. Mitesh Khapra, Department of CSE, IIT Madras, while pursuing M.Tech in CSE as part of the Dual Degree Programme.
• Thesis title:
• CM-GANs: Cross-modal generative adversarial networks for learning common representations for text and image data

May 2017 – Jul 2017 · 2 mos · Bengaluru Area, India

• Worked as part of a team on a project for predicting saliency of elements in mobile user interfaces and informational documents.
• Saliency prediction would help in reducing the time for manual user interface evaluation and could be integrated as part of design tools, to provide immediate feedback to user interface designers.
• This work was published at IEEE WACV 2018. In addition, 2 patents were also filed with the US Office of Patents, of which one has already been granted, and the other is pending review.

Dec 2016 – Oct 2025 · 8 yrs 10 mos

• Maximl | Industrial AI Platform for Maintenance and Safety
• https://www.maximl.com/
• Maximl is an Industrial AI platform for hazardous industries that leverages deep domain-backed intelligence to solve the problem of tribal knowledge in effective maintenance of industrial assets, while ensuring strong safety controls at the last mile.
• We are a technology startup backed by Nexus Venture Partners and Axilor Ventures, with a goal to supercharge the next generation of knowledge workers working in hazardous industries, who will not tolerate the typical enterprise bloatware that the previous generation has been forced to use.
• Maximl is present across India, LATAM, Europe and SEA with Fortune 500 customers across Oil & Gas, Chemicals, Steel, CPG and Industrial Engineering. Our AI-native approach enables accelerated transformation of use cases across maintenance, inspection, safety and operations for quick value realisation and adoption by large enterprises.