• Spearheaded onboarding automation for Einstein Hawking team’s AI hosting platform

• Coordinated across 3 teams to understand pipeline needs and security requirements of ML applications

• Architected API design to host Hawking Applications dynamically and reduce onboarding time from 2 weeks to 3 days

• Developed unified workflow with Python and Java to deploy new applications across 5 feature packages

• Expedited rule generation for Delta One team’s automated option trading system

• Redesigned price-based rule generator with C++ and Python to avoid redundant ML model evaluations for 2x speedup

• Devised C++ algorithm to cover 60% more relevant target points during rule generation

• Expanded metrics and test coverage with C++ for 3 code suites

• Improved process graphs emitted from digital item ordering API to expedite request tracking for clients and engineers

• Coordinated across 2 teams to understand user needs, approve design proposal, and deploy API changes across 5 packages

• Coded inter-process graphical linkage with Java and Kotlin to save 700 hours per year of tracking sequential process graphs

• Onboarded new service to graph tool with Java and Kotlin to save 80 hours per year of reading raw data logs

• Compiled metrics dashboard and employed 2-day canary release to address latency risk of emitting new graph events

• Leveraged Guice for utility dependency injections and Mockito for unit testing

• Enhanced Design Insights team front-end to enable 10x speedup with feature integrations

• Migrated 2 client-facing Angular webpages to TypeScript + React + Redux to improve compatibility with company codebase

• Transformed each page’s global initialization workflow into 5+ encapsulated processes

• Leveraged Redux-Saga to optimize asynchronous API requests

• Coded unit tests in Jest and deployed changes to Azure DevOps pipeline