• Designed and developed a provider search service which uses member preferences and personalized prompts to serve ML-model generated provider recommendations, increasing visit conversions and member retention by 20%.

• Implemented a wait-time estimator for real-time patient queues, combining Queueing Theory and ML-based predictions, that serves 40% more accurate estimates than the baseline, reducing dropoffs and increasing NPS.

• Designed and implemented durable, event-driven APIs and RPC services using Golang, Apache Kafka, and Temporal Workflows to ensure fault-tolerant, guaranteed delivery of data to and from Athena (EHR)

• Engineered an automated lifecycle pipeline to streamline provider onboarding and offboarding, cutting down manual tasks for clinical liaisons and significantly minimizing human errors and delays.

• Designed and developed integration testing framework using Java, Rest.Li and Ambry DB, increasing code coverage and verifying downstream and core services functionality, which reduced manual toil and dependency on SRE.

• Engineered touchless deployment pipeline from code merge to production, added validations on emitted metrics and automated test stages, which increased deployment frequency from once a fortnight to 4-5 times a week.

• Implemented routing and planning in Trip Planner service to enable users to navigate across the Tesla supercharger network. Developed vehicle digital model for accurate route energy and consumption calculations.

• Optimized path searching algorithm for low latency route calculation by introducing just-in-time compilation capability, redesigning path graphs and migrating from Dijsktra to A* for shortest path search.

• Designed and implemented a data pipeline and data mart with Grafana visualizations to aggregate and analyze Trip Planner telemetry using Python, PostgresDB and Jenkins, giving service performance visibility to developers.

• Developed an orchestration module to enable Tesla Map Builder service to ingest large-scale map fixes files.

• Designed, developed and unit-tested multi-tier and scalable features on popular racing game ”CSR2” using C#, Ruby, RSpec and Unity Engine, improving user retention and metrics and increasing player engagement.

• Architect-ed and introduced changes to real-time matchmaking C++ server, lowering matchmaking times by 20% and reducing failures for online players. Added security measures to Ruby API server to validate matchmaking.

• Enhanced the Release Admin Tool by developing capabilities for faster metadata ingestion, greater visibility and feature configuration for releases, thereby reducing the production readiness time of the game.