Sep 2021 – Apr 2023 · 1 yr 7 mos

• I led the architecture and development of the GitHub Actions Insights portal, designing both the user interface and the data ingestion pipeline that serves over 200 organizations and enterprises. This initiative provided actionable visibility into workflow usage and performance across large-scale engineering teams.
• To enhance system efficiency, I designed and implemented a batched consumer service to process Kafka events from GitHub, achieving a 95% reduction in latency and improving event throughput.
• Additionally, I developed a background service for data reconciliation, ensuring data quality, integrity, and consistency between the upstream systems and the Insights platform, thereby strengthening overall platform reliability.

Aug 2020 – Aug 2021 · 1 yr

• I automated the creation of the employee hierarchy graph that powers Teams Insights, developing a .NET-based application integrated with scheduled GitHub Actions. This automation eliminated manual intervention and significantly reduced human errors, ensuring accurate and timely hierarchy updates across the platform.
• I also identified critical gaps in the Insights Data Platform related to repository transfer scenarios and implemented a complete pub/sub event-driven workflow to handle both intra and cross-enterprise repository transfers seamlessly, improving data consistency and system resilience.

Apr 2019 – Aug 2020 · 1 yr 4 mos

• I revamped and optimized the user interface for the Azure DevOps Test Plans offering, enhancing usability and overall performance for over 1 million users. This modernization improved the end-to-end user experience and expanded the product’s accessibility and reliability at scale.
• Additionally, I optimized Test Plans REST APIs and query performance, achieving a 50% reduction in response time and significantly improving efficiency for enterprise users managing large-scale test suites.

Jan 2019 – Apr 2019 · 3 mos

• I developed an in-house ETL framework that streamlined the consolidation of reference data from multiple sources into a single unified system. The framework automated data extraction, rule-based transformations, and loading processes into a MySQL database thus improving data accuracy, accessibility and processing efficiency across teams.
• In addition to development, I mentored and onboarded new team members, guiding them through the ETL framework’s design principles, architecture, and best practices to ensure consistent implementation and knowledge sharing within the team.

Aug 2016 – Dec 2018 · 2 yrs 4 mos

• I built a self-serve data consistency framework to ensure seamless data integrity across multiple systems such as Hadoop, DB2, and MySQL, reducing manual validation and improving data quality organization-wide. I also developed a machine learning solution based on the Holt-Winters Triple Exponential algorithm to identify transaction trends and automatically alert teams about unusual patterns in credit card transactions, helping strengthen fraud detection efforts.