May 2023 – Mar 2025 · 1 yr 10 mos

• Spearheading the design and development of a repairs onboarding platform, enabling hardware teams to efficiently onboard repair logic across different systems in the machine health pipeline.
• Developing automated fault detection and recovery mechanisms to improve datacenter fleet availability, resulting in multi-million-dollar savings per quarter.
• Leading cross-org collaboration to enable fault reporting and repair of links between machines and network devices.
• Building a high-scale telemetry collection platform to parse and collect essential metrics from Google’s datacenter fleet.
• Led the design and development of notification delivery and telemetry infrastructure for the Google Home Wear application.
• Developed Material 3 components from scratch for the Wear Material library.
• Worked on performance optimization for Wear applications.

Nov 2021 – Apr 2023 · 1 yr 5 mos

Jun 2020 – Nov 2021 · 1 yr 5 mos · Bengaluru, Karnataka, India

• Developing automated solution to map vendor inventory file to amazon required template for bulk listing.
• Developing solution to allow vendors to seek UPC exemption.
• Re-designed marketplace agnostic configurations to reduce efforts for launching accounting solutions in new marketplaces from 3 weeks to 2 days.
• Worked on launch of accounting solution for marketplace launch of SA, and pay for prime using GC in US and MX.
• Developed automated solution for report storage and visualization to decouple accounting team dependence for analysis of large reports.

May 2019 – Jul 2019 · 2 mos · Bengaluru Area, India

• Worked on estimator flow to predict the estimated cost of the project.
• Developed algorithms to get the most optimal position of an item in 3D space.
• Technologies Used: Ensemble learning, K-d trees, Java, Python, Node.js

Jul 2017 – Dec 2017 · 5 mos · Gwalior Area, India

• Teaching Assistant for the course of data structures offered in fall 2017.

May 2017 – Aug 2017 · 3 mos · ABV-IIITM

• Developed Backend Service for communication with IOT based switches.
• Technology used: Node.js, MongoDb

Jan 2017 – Aug 2018 · 1 yr 7 mos

• Spearheaded the design and development of backend service for automated prediction of health indicators from sound files.
• Accomplished 89% cost saving and reduced processing time from 3.5 days to under an hour by migrating to serverless architecture.
• Technologies used: AWS Lambda, S3, SQS, SNS, Cloudformation