At Zendesk, I have been on the Deploy team, where my responsibilities have included managing Spinnaker and its infrastructure, creating plugins that enhance Spinnaker’s by adding more features, and developing various deployment tools for our engineers. The majority of applications at Zendesk are deployed using Spinnaker, which requires it to be robust and available with virtually no downtime.

In my day to day work, I make extensive use of AI to enhance my workflow. I stay up to date with the latest AI tools and techniques and have been sharing these concepts and skills with my team.

Additionally, I am the Security Champion for the Deploy team. I am responsible for making sure the Deploy team’s applications and services are vulnerability free and for planning for security features for them.

While at JPMorgan Chase, I worked on a team that is driving JPMorgan Chase’s initiatives in the public cloud forward. I am currently working on creating an application that will allow users to generate projects from a template that can immediately be deployed onto AWS or the JPMC private cloud. The generated project has all boilerplate code taken care of, including code to provision the cloud infrastructure they need. This project is being closely followed by leadership and is expected to be leveraged by teams across LOBs.

Additionally, I have helped with the development and deployment of a scalable microservice that have been deployed onto AWS EKS. This microservice does risk grading on clients. It is one of the first microservices running in production on the AWS cloud for our Corporate Technology LOB.

Technologies: Spring Boot, AWS, Groovy, Maven Archetypes, Sceptre, Kubernetes, MariaDB

In addition to this, I have also helped with the machine learning efforts our data scientists are pushing forward. For this, I have assisted a team that created data pipelines that move highly confidential data from our on-premises data centers to AWS S3 and vice versa. Once the data is on S3 it will be consumed by a machine learning model for peer recommendations.

Technologies: Apache Airflow, Kubernetes, Python, AWS, Hadoop

Previously, I worked with a team on an application that performs real time credit risk checks for incoming trades from corporate investment bank clients. The application limits JPMorgan’s risk in the event of a client not being able to pay for the security after JPMorgan purchases it. It does this by making sure there is enough collateral or credit to cover the cost of the security the client wants to purchase and by evaluating certain rules. This, in turn, guarantees that JPMorgan’s exposure on any trade for a client does not exceed the total exposure limits for that client.

Technologies: Java, Spring Framework, Spring Boot, Kafka, Docker, Splunk

During this time, I was a part of a team that was working to recreate the monolithic auto loan origination platform using microservices.

Technologies: Spring Boot, AWS ECS, Jenkins, Splunk

I worked in the “Help me when I am in a Difficult Situation” experience team. As part of this team, I worked on projects that related to customers that were past due on their auto loans.

Technologies: Java, Spring Boot, Kafka, AngularJS, AWS ECS, Splunk