Jan 2024 – Jun 2024 · 5 mos · Bangalore

Apr 2023 – Jul 2023 · 3 mos · India · Remote

• Developed a cutting-edge generative AI solution using body tracking vision algorithms and text-to-2d image models for use in body augmentation with real-time generated assets in an Augmented Reality (AR) space for Android devices using Kotlin, ARCore, and Tensorflow.
• One of 100 fellows selected amongst 10,000+ applicants and 2,500+ project proposals across India in a program backed by Meta and FICCI (Federation of Indian Chambers of Commerce and Industry) and organized by Reskilll, for the partner organization and startup, Tiluf.

May 2022 – Jul 2022 · 2 mos · Bengaluru, Karnataka, India · Remote

• Leveraged Java, AngularJS, and AWS in the Competitor Monitoring Team, adding state-saving capabilities that reduced repetitive input by 60%, and developed a robust log system for tracking internal tool usage across various regions.
• Integrated real-time data from various e-commerce websites including Amazon.com, using a high-volume subscriber queue system to support various internal teams in data analysis of online retail business.

May 2021 – Jul 2021 · 2 mos

• Implemented an ensemble approach combining pose detection and CNN algorithms using Python and Tensorflow and conducted rigorous experimentation and evaluation on a dataset of 20,000+ images, ensuring the algorithms’ reliability and scalability for real-time systems.
• Conducted an extensive literature survey, thoroughly evaluated the performance of the proposed algorithm with the latest state-of-the-art benchmarks for distracted driver detection using image data, and wrote a comprehensive research report.