Google

• Future proofing Google's distributed systems infrastructure (end of Moore's law, ML, Silent Data Corruption)
• 50+ interviews
• 30+ hours of classes taken to educate Nooglers

Software Engineer

Apple

• Worked on scaling Ads Serving Platform to handle half a billion requests a day
• 2nd place in Apple India Hackathon, which eventually spun off into a project I led for improved Ad targeting algorithms

Microsoft

Azure Compute (2017 - 2018):
• Developing multi-tenant, highly available distributed systems for Microsoft Azure
• Launched Dynamic Configuration on Compute and Virtual Machine Scale Sets

Azure Monitoring (2015 - 2017):
• Shipped Azure Resource Health - Resource Health tells you the health of all of your resources in Azure, along with historical health and outage related data. 
• The backend is a custom Near Real-Time engine that processes over 2 million heart beats every minute and has an SLA of 99.9%

Oracle

Oracle Database Server Technologies -
Worked on Data-bound Collation at a container level for Oracle 12c as a part of SQL Execution team.

Member Technical Staff

Startups

[Kiwi - a Sequoia Capital-backed mobile game development company]
• Improved ad targeting by developing an analytics platform that fetches statistical data by crawling the Play Store and iTunes store.
• Developed AdLooper - A free Direct Deals and Ad Mediation service that optimises ad revenue using margin free direct deals and ad inventory from major ad networks

I'm a TL/Engineer at Google, Switzerland.  I have 11 years of experience in designing, developing and monitoring high-performance distributed systems with massive scale.  

Programming Languages - GoLang, Java, C#, C++, Ruby, Python
Cloud - GCP, Azure
Datastores - Spanner, Cassandra, MongoDB, Redis, SQL Server, Oracle PL/SQL, Postgres

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