• Built APIs for transactions reissue automation to reduce engineering time spent by ~6 hrs/week and errors by 100%.

• Designed and developed a self-serve UI for returns and reissue automation, removing engineering bottleneck from the loop, and saving over 90% of time for engineers and our internal customers.

• Created APIs to render check details and email configurations in ~30 transaction data pipelines.

• Streamlined team’s oncall process using Datadog, Rollbar, and OpsGenie, improving incident remediation by 50%.

• Mapped Covid 19 spatial data using PostGIS to create data pipeline for health vulnerability detection based on geographical and community patterns from over 100000 data points.

• Designed a localization algorithm for efficient spatial data scraping, enabling accurate extraction and analysis of geospatial information from various sources.

• Developed software to create 2D maps and a centralized infrastructure using Mapbox, Leaflet, Javascript, and Python.

• Utilized topic modeling to model time series data on Covid 19 controversies, collaborating with Sandia National Lab.

• Mined 5 mil healthcare insurance data sources to build a cost-optimized prescription drugs system.

• Transformed raw data to extract meaningful prescription and provider information for detailed analysis.

• Created a distributed SQL query infrastructure for efficient performance in over 300 mil data points.

• Analyzed and identified the intention of 135000 git commits for creating a code vulnerability finder model.

• Annotated over 45000 commits by 816 authors and 5 mailing lists with 400000 messages to create a database.

• Achieved 54% precision in identifying malicious commits and 62% for commits that patch vulnerabilities.