May 2023 – Feb 2025 · 1 yr 9 mos · Bengaluru, Karnataka, India · On-site

Sep 2022 – May 2023 · 8 mos

Jan 2022 – Dec 2022 · 11 mos · Bangalore Urban, Karnataka, India · Remote

• Worked on optimizing training datasets for trade-off between selection bias and training noise in early filtering models for ad candidates as a pruning layer in a multi stage ranking system and developed metrics to evaluate the effectiveness of the same.

Sep 2021 – Jan 2022 · 4 mos

• Key member and lead for the design and development effort across diverse multi-functional partners in launching and delivering Product Ads across more than 30 countries in 20 different languages in EMEA, APAC, and LATAM regions, supporting advertisers with multi-lingual product feeds and cross-border targeting, which was critical in ensuring the success of the product launch and driving revenue growth to over $200M annual run rate.

Jul 2014 – Sep 2021 · 7 yrs 2 mos

• Worked extensively on various ML algorithms for search query classification, categorization, and annotation. Worked on algorithms for ad candidate generation, as well as scoring and ranking algorithms for ad candidates across multiple objectives. Experiences in fine tuning and distilling Large-scale Transformer based models.

Jul 2011 – May 2014 · 2 yrs 10 mos

Jul 2010 – Jun 2011 · 11 mos · Bangalore

• Worked on cross-platform and multi-technology solution modules for automated monitoring, performance evaluation, and alerting system over SNMP for heterogeneous services running across large scale networks.