Full-stack software engineer on audience targeting platform to create marketing audiences from 3.9B cards.

1. Designed and implemented a drag-and-drop audience builder UI using Angular 14. Users reported improved usability, responsiveness, and multi-tasking capabilities. UI supported creation of complex queries with intuitive visualizations and query validation.
2. Proposed and led platform observability project to export operational metrics to Prometheus and Grafana and enable alerting. Collaborated with product owner, tech leads and ops teams to scope requirements and validate design. Identified performance bottlenecks and SLA violations in real-time on microservices.
3. Implemented hive query support in marketing platform to advanced audience targeting using Hive datasets. Queries were on-demand and near real-time on terabyte scale hybrid text/parquet datasets.
4. Built reporting on marketing campaign ROI contrasting control and test groups, with APIs delivering dynamically generated Excel sheets from user provided templates using Apache POI. Skills - Full-stack development, Data Engineering, Microservices (Java, Scala, Spring, Angular, Apache Spark, Python) (Promoted to Senior Software Engineer in 2023)

Built experimental feature to read decision tree models and execute at scale on audience targeting platform.

1. Enabled data scientists to run pre-trained models on large datasets in a self-service fashion.
2. Added data pipeline stage, APIs, UI components. Handled production issues and delivered product demo. Skills - Full-stack development with Scala, Java, TypeScript, Debugging, Software Testing, Large Information Systems

Web development and ML model evaluation for Autodesk Design Graph, a ML platform for 3D design data.

1. Contributed functional and test code to Express APIs in Node.js for the supporting cloud framework.
2. Evaluated ML algorithms on evaluation datasets and produced analysis for multi-label classification problem. Skills: Node.js, Python, REST APIs, Machine Learning