- Developed Java microservices on Azure, processing 2K+ requests/min to enhance backend interaction with vehicles- Led development and testing of new features across 4+ teams, improving release cadence by 20%- Created Grafana dashboards and alerts that reduced incident detection time and help identify irregular interactions- Presented multiple POCs displaying request/response and pub/sub performance for user-to-vehicle subscriptions- Mentored 3 rotation engineers bi-annually, contributing to a 15% faster onboarding

- Support management of advanced sensing vehicles for ground-truthing data collection operations; enhances development for Sensor Performance and Alignment, Vehicle Architecture, Data Ops and Perception Analysis on UltraCruise Development- Execute mass testing on sensor to camera alignment algorithm to implement automated performance validation in python- Develop server for big data validation and sensor performance reports incorporating RAID technology and edge computing- Planned and implemented dev environment framework to allow multiple developers to work simultaneously

- Developed Java microservices on Spring Boot framework integrating with Kafka, Redis and Oracle following CI/CD approach- Bootstrapped new microservices with Oracle and Kafka and integrated with existing applications- Implemented Mockito Unit and Cucumber Integration tests while supporting bench testing team with priority Bug Fixes- Followed SAFE Agile methodology and gained familiarity with Kubernetes, PCF, Kibana

- Detailed Specifications by creating sequence diagrams for calibrations programming via diagnostics communication- Wrote python script to interact with lower level hardware to ensure ethernet data transfer upgrades to 48kB- Created an interactive log parser to reduce investigation time by 80% for issue resolution team on high priority bugs- Implemented diagnostics service Java handlers(DIDs, RIDs, IOCIDs) and tested using VehicleSpy on infotainment bench setup- Gained familiarity with software tools including QFIL, TeraTerm, Vehicle Simulator, VehicleSpy to build, flash and test infotainment software builds, as well as support cross functional teams with end to end testing

- Mediated weekly meetings to keep suppliers and GM aligned on all calibrations development and eliminate roadblocks- Developed VBA script to automate creation of an all encompassing calibrations list, aligning parties on all calibrations changes and minimizing delays by eliminating standard questions- Established calibrations testing to ensure all requirements are met and outlined future stability and robustness testing plans

- Aided Data & Analytics Team in developing a pricing tool using Machine Learning and Augmented Intelligence techniques through AGILE methodology to accurately predict the price of our products without negatively impacting client retention- Trained categorical model for price change predictions with a rising accuracy rate of 60% for Small Business Units- Created Tableau dashboards to present relationships between different data resources on the effectiveness of the ML model