Khantil Choksi
Staff Software Engineer at Google
Mountain View, California, United States
Summary
👤
Senior🎓
Top SchoolKhantil Choksi is a Staff Software Engineer and Tech Lead at Google with 10 years of experience building and scaling high-throughput distributed systems that power Ads products across 25+ areas and contribute to multi-billion dollar revenue. He leads a 10+ engineer team, owning technical strategy, product execution, and infrastructure roadmaps while partnering closely with PM, Sales, and UX to deliver measurable advertiser and user benefits. Known for launching a new product area from scratch and shaping 20+ cross-functional initiatives, he combines hands‑on systems design with people development and a sustained top‑1% execution record. Based in Mountain View, he brings SRE roots and a product-first mindset to resilient measurement and conversion optimization challenges, and quietly balances pragmatic engineering with a playful Github habit of “sometimes write code.”
10 years of coding experience
7 years of employment as a software developer
High School Mathematics and Science, High School Mathematics and Science at Sardar Vinay MandirAndroid Developer Nanodegree Android Mobile Applications Development, Android Developer Nanodegree Android Mobile Applications Development at UdacityBachelor of Engineering (BE) Computer Science & Engineering, Bachelor of Engineering (BE) Computer Science & Engineering at The Maharaja Sayajirao University of BarodaMaster's degree Computer Science, Master's degree Computer Science at North Carolina State UniversityBright School
English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (27)
percentage10
traffic9
jenkins8
api8
api-ai8
provisioning8
wit-ai8
testing7
pipeline7
continuous-integration7
ansible6
kubernetes-cluster6
docker6
proxy6
continuous-deployment6
Programming languages (5)
Github contributions (5)
khantilchoksi/DevOps-CI-CD-Pipeline-using-Jenkins
Feb 2018 - Jun 2018
Provisioning and configuring Jenkins server, automatically using Ansible. Automated testing, prioritization analysis and deployment of the software in continuous deployment pipeline. Automatic Infrastructure Upgrade: Automatically creating a Kubernetes cluster, for running a Dockerized version of application Canary Release: Using a proxy/load balancer server, route a percentage of traffic to a newly staged version of software and remaining traffic to a stable version of software. Stop routing traffic to canary if alert is raised. Rolling Updates: While redeploying application on one instance with updated version; other instances of application should remain operational.
Contributions:198 commits, 4 PRs, 2 pushes in 4 months
prioritizationproxyjenkins-serverroutecontinuous-integration
khantilchoksi/Linux-Networking-Virtualization
Oct 2018 - Jan 2019
Contributions:96 commits, 1 push, 1 branch in 3 months
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