I am on the data pipelines team that provides the framework for users to run ETL workloads on our platform

I developed the technical design, planned the delivery schedule, managed meetings across different teams, and communicated progress with senior level directors while coding the majority of the project. I also architected the system to be extensible that will serve as a core component of the platform that other features will build upon. To accomplish this, I wrote the service level code in typescript while also leveraging AWS cloudformation templates to serve as infrastructure as code

I built a new way to reprocess files that could scale efficiently and work with other parts of our platform. I leveraged elastic search as our source of truth which made it consistent with our core search experience. This unified the UX experience with other types of bulk processing jobs in our system and also unlocked over 100x improvement in allowing customers to perform batch reprocessing jobs.

I solved major issues when trying to run and monitor multiple data pipelines concurrently. I achieved this by constructing a new scheduler that implemented a novel fairness algorithm that I designed. I also fixed a multi-tenant issue where noisy neighbors had prevented customers from receiving the throughput they expected. In addition, I changed the backend logic for APIs that had previously caused our database to crash due to expensive joins and poor data models.

I developed a solution to prevent multiple data pipelines from creating infinite loops that would crash our platform. I had to understand the end to end architecture of how files moved in our system and how we could add metadata to protect our system. Overall, this has saved the platform tens of thousands of times from crashing

Currently building a new infrastructure monitoring product in Golang to leverage Appdynamics’ new platform. Drove the investigation on how we could utilize Prometheus based exporters to reach parity with, and eventually surpass our current solution. Implemented a mock GRPC server while abstracting the functionality, which allowed for various validations through different implementations. Restructured our CICD pipeline to optimize efficiency and bootstrap our test framework

Designed and implemented the core framework of our company's new kubernetes monitoring solution using Java and Golang. Developed the infrastructure using Gradle, standardized the logging system, and integrated our product into our CICD TeamCity pipeline. Led several meetings describing the internal architecture and presented our product at an all hands.

Became our team's subject matter expert on our company’s build and CICD systems. Established multiple pipelines for our team using Gradle, Docker, Makefiles, and Kotlin. Drove our team's devops efforts and parallelized tests to reduce the bottleneck by 30%, saving around 25 minutes for every commit across the company that ran through the central pipeline.

Promoted to a head role in January 2016 and was responsible for managing logistics for over 30 other course producers and TAs.

Held weekly office hours to help students learn the fundamentals of C++.

Oversaw labs, proctored midterms, graded assignments, and worked directly with the professor.