Jan 2026 – Apr 2026 · 3 mos · Bengaluru

Jun 2023 – Apr 2026 · 2 yrs 10 mos · Bengaluru, Karnataka, India

• Glance is a lockscreen content discovery platform serving over 200M+ users across devices from leading OEMs including Xiaomi, Samsung, RealMe, Oppo, Vivo, and Motorola. It is operational in diverse markets such as India, Indonesia, Japan, Brazil, and the USA.
• As part of the Ad Tech team at Glance, I contributed to both direct and programmatic advertising initiatives with a strong focus on ad recommendation and revenue optimization.
• Direct Revenue Initiatives:
• Designed and deployed a real-time ad recommendation system handling ~40K QPS, leading to a 15% improvement in CTR, CVM, and Purchase Rate.
• The improved performance directly impacted $25K+ in daily direct revenue (DRR).
• Programmatic Revenue Initiatives:
• Led the end-to-end development and deployment of a reinforcement learning–based dynamic floors model for Glance’s ad inventory, optimizing publisher yield and driving a 10% increase in programmatic revenue.
• Built and scaled infrastructure to process 400M+ ad requests daily across various inventory sources.
• Overall impacted $100k+ revenue in terms of DRR.

Dec 2021 – Jul 2023 · 1 yr 7 mos · Bengaluru, Karnataka, India

Jul 2019 – Dec 2021 · 2 yrs 5 mos

Jan 2019 – Jun 2019 · 5 mos

Feb 2018 – Jun 2018 · 4 mos

• As a data science intern, my project was "NSDP prediction of different Indian States". I extracted data from RBI website, cleaned it and then made my predictions using different machine learning models like LSTM, GRU, Multi Layeer Perceptron and ARIMA, and displayed results using highcharts and highstocks.

Sep 2017 – Nov 2017 · 2 mos · The LNMIIT

Jul 2015 – Jun 2019 · 3 yrs 11 mos · Jaipur Area, India