Oct 2022 – Feb 2024 · 1 yr 4 mos

Aug 2021 – Oct 2022 · 1 yr 2 mos · Seattle, Washington, United States

• Data & Search Infra

Jul 2018 – Aug 2021 · 3 yrs 1 mo

• 1. As a first engineer for AWS Kendra, I architected Kendra service tech stack (ML powered search as an AWS service) from end to end.
• 2. Helped in bootstrapping the team from 1 to 200+ engineers.
• 3. Was tech lead and primary poc for engineering teams across Seattle and NY. Led the team to re:Invent launch in 2019 and then doing GA in May 2020.

Jun 2016 – Jun 2018 · 2 yrs

• 1. Part of Lex launch team and one of the early engineers at AWS AI
• 2. Designed and delivered critical glue libraries for Amazon Lex Dataplane to de-risk Lex launch in re:Invent 2016
• 3. Designed and delivered Chatbot service platform which let Lex developers deploy their bot on social media messaging platforms like Facebook, Slack, Twilio etc.
• 4. Planned and executed the effort to reduce Amazon Comprehend's ML inference cost by 40%

Oct 2014 – Jun 2016 · 1 yr 8 mos

• 1. Tech lead of client team for AWS Workspaces client. Our team was responsible for development of client software for AWS Workspaces on Windows, OS X, iOS, Android and Chrome OS platforms.
• 2. I took the Chrome OS client for Workspaces from idea to delivering it in 2016.
• 3. Re-designed and implemented the next generation of Android client for Workspaces in 2015

Jun 2013 – Oct 2014 · 1 yr 4 mos

• Confidential

Jan 2006 – Jan 2013 · 7 yrs · Noida, Uttar Pradesh, India

• Designed and developed multiple document conversion engines (PDF->X and X->PDF) for Adobe LiveCycle ES. Supported (AIX/HPUX/RHEL/Windows Server(all editions) ) X (JBoss/WebLogic/WebSphere) X (Oracle/DB2/MySql) platforms for the product. This engine was second highest revenue generator for entire Adobe LiveCycle suite revenue.
• Designed and developed features like handling password protected PDFs, text highlight, etc. for Adobe Reader on mobile.