Apr 2021 – Oct 2025 · 4 yrs 6 mos · Bengaluru, Karnataka, India · On-site

• > Independently architected and implemented a critical Python-based Presubmit Check Service, as a member of Google One and Photos team, to automate the validation of experiment configs prior to code submission.
• > Integrated with file-read and changelist APIs, the service preemptively identified and flagged setup errors and led to a significant 40% decrease in on-call incidents due to improperly configured experiments.
• > Led the launch and implementation of the Personalization and Data Wipeout project, a crucial initiative to ensure user privacy and data compliance. Automated the deletion of sensitive user data based on consent status and mandated retention periods. Integrated user data pipelines and wipeout mechanisms, processing 3B+ rows to guarantee timely and accurate data cleanup.
• > Spearheaded the design and development of the Experiments Status Dashboard, a centralized platform providing real-time insights into over 2,000 concurrent experiments. Engineered a unified view by aggregating and synthesizing data from more than 100 disparate sources,
• collaborated with analysts and product managers across multiple teams to make faster, data-driven decisions.
• > Played a pivotal role in the successful, high-stakes launch of the Google One + Gemini AI Ultra plan at Google I/O 2025, responsible for ensuring 100% metric availability and analytics system stability.

Jul 2020 – Apr 2021 · 9 mos · Bengaluru, Karnataka, India

• > Worked as an Analyst in the Investment Strategy Group (ISG) team in the Consumer and Investment
• Management Division that focused on building a high performant and resilient foundation to support
• investment tools and asset management platforms catering to high net worth clients. Using Python scripts and services, enhanced and optimized existing products and curated product management tools.

Feb 2020 – Jul 2020 · 5 mos · Bengaluru Area, India · On-site

• > Worked in the Seller Partner Financial Tech team and a scalable and fault-tolerant Java-based data pipeline to automate ContraCogs calculations, processing millions of transactions daily.
• > Tackled significant data complexity by designing a system to reconcile inputs from 10+ data sources (including APIs, data streams and flat files) for ensuring timely and accurate vendor financial settlements.

Jan 2019 – Jun 2019 · 5 mos · New Delhi Area, India · On-site

• Under the Amazon Campus Mentorship Series, as a mentee, developed a Flexible and Reusable Dashboard Tool for the Amazon employees. Option for various data sources from which one can fetch data and depict it using various visualization tools. Worked with MongoDB for storing data which then will be utilized for visualization purpose.

May 2019 – May 2020 · 1 yr · New Delhi Area, India

• Headed the Management of companies for the Placement Division of my college, and aided in the Placement of around 200 students till date, and counting. Responsible for maintaining database and managing candidates for the companies for the placement year 2018-19

Feb 2019 – Mar 2019 · 1 mo · India

• Developed an Optimized IOT System to reduce the overall Carbon Footprint of the network through the use of Gateway & End Nodes and by optimizing the data transferred in the network.

Jun 2018 – Jul 2018 · 1 mo · New Delhi Area, India

• Worked as an intern in DRDO on the project of development of the trainee database for the effective management of data. Used for maintaining all the details about all the interns and trainees working there.

Mar 2018 – May 2018 · 2 mos

Sep 2017 – Feb 2018 · 5 mos

Oct 2016 – Feb 2017 · 4 mos