Train newly joined Google employees on Google related technologies and work culture.

Taught entrepreneurship to grade 4th students.

• Snoball allows users to buy in bulk to get a major discount. 
• I designed and developed the entire app (with one more engineer) in three months and deliver it for testing on AWS. 
• The application was developed using Node.js, ReactJs, MongoDB, GraphQL, and AWS. 

• MyfitCode app generates personalized exercises for fitness club members as per their preference/ages and goal. 
• I developed the entire backend API and admin tool using node.js, Angularjs, MongoDB also maintained infrastructure using AWS.

• The Robotics infrastructure platform team develops and manages infrastructure for robots.
• My core contribution is to use media pipe in c++ to develop a machine learning platform to perform object detection from camera feed and control robots.

• Google chat supports one-to-one and group communication at a very high scale.
• My contribution is to scale and maintain the Chat Message engine to dispatch the events to recipients. 

• This is a  highly scalable and event-driven system to scan source code written by the developers to discover open-source vulnerabilities and secrets in the near-realtime.  
• I was part of the core team that designed and developed this product from scratch. Later, I redesigned components related to storage and compute and optimized overall performance which helped to scan 3x more repositories and reduced failed messages from on average 10 million to on average 300 thousand.  
• Team also developed Earlybird tool written in Golang to scan sensitive data elements and open-sourced it. 
• Product is developed using Kubernetes/Docker/ArgoCD/Lambda/Micro services/RabbitMQ/Node.js/Mongodb/Golang etc.  
• Product has followed 100% platform as a code, smaller source code repositories, etc which lead to faster development, higher code reusability, and fewer bugs. 
• While working on this product, I also completed certification on Docker, Kubernetes for Administrator, and Kubernetes for Developer. 

• This was an experimental app to allow Amex customers to do credit transfers to their peers. 
• As a senior engineer, I joined this product in the beginning, and designed, and developed most parts of the app.   
• The product had native apps on iOS, Android, and Web platforms. 
• I designed to use a single source code using React/ReactNative/Node.js for front-end apps and use Node.js and MongoDB for the backend API. 
• It helped to develop an iOS and Android app in a short month of time. 
• I also wrote automated end-to-end browser-based testing using nightwatch.js and letter rewrite into webdriver.io.

• This project is related to ebook content authoring, publishing of ebook, managing Digital library, and integrating eBook into the different learning management systems. 
• This is the flagship product of Pearson with millions of users.  
• I developed a compute-intensive content management tool to process pdf, xml, html and generate eBook.  
• I did a major contribution to integrating eBook with major learning management systems. 
• Technologies used: JAVA, Spring, Lucene, Tomcat, Oracle, Angular.js, Node.js

Optimize message latency delivery to Google Chat clients

Measure the loss of events to dispatch through different systems.

Outstanding contributors  for year 2019 and 2020.

On filing patent "US-011552979-B1: Automated Early-Stage Application Security Monitoring"

Received employee of the quarter award.

Received seven times between June 2006 to June 2013.

Teach Google tech stack and work culture to Nooglers in every quarter

Tech talk on core system design of Google chat.

Presented in Amex DevCon 2021

Presented to close group at Amex.

Presented to close meetup group.

Presented in Phoenix React meetup group.

https://github.com/lee5i3/config-secrets/pull/2

https://github.com/americanexpress/earlybird