● Tackled the problem of slow, manual vehicle diagnosis and repair workflows, reorienting the platform toward accelerated AI-driven diagnosis and reduced repair time to improve service-center efficiency and scalability.

● Owned the end-to-end redesign of the diagnosis workflow, enabling ML predictions from minimal inputs, eliminating vehicle log file dependency, and driving 20% DAU growth via faster AI-powered diagnosis.

● Designed and developed both high and low-level designs for a real-time analytics dashboard, aggregating metrics from four systems into service-center leaderboards, resulting in a 30% increase in user engagement.

● Led the transition from a single-tenant to a multi-tenant architecture, enabling multi-brand expansion, new enterprise deployments, and $XXXK+ in ARR leading up to the Series A funding round within a year.

● Built these platforms using a full-stack architecture including Node.js, React/Next.js, GraphQL, REST APIs, PostgreSQL, and AWS Lambda, selecting technologies based on scalability, latency, and AI-integration requirements.

● Led internationalization of a vehicle service center diagnosis platform by developing locale-aware APIs and data models, enabling rollout across 6 global markets.

● Built a scalable GraphQL API layer spanning diagnostics, repair, and analytics workflows, supporting 40+ APIs and serving 10K+ daily requests with <20ms latency.

● Engineered BigQuery-based analytics pipelines and data models over 10TB+ of customer and vehicle data, surfacing trends that drove a 3% sales increase sustained over two consecutive quarters.

● Built KPI dashboards and self-serve datasets using BigQuery and SQL, reducing manual reporting effort by 30% and enabling data-driven product and growth decisions.

● Developed large-scale analytics pipelines with BigQuery and Apache Beam (Dataflow) via Airflow, optimizing SQL performance to cut data retrieval latency by 10% across high-volume datasets.

● Built a scalable Reporting and Test Management platform using Java Spring Boot microservices, handling 10K+ test records per day with improved reporting performance.

● Implemented centralized secrets management for Spring Boot services, securing credentials across 10+ microservices and multiple deployment environments.

● Eliminated duplicated security controls across microservices by implementing a centralized API gateway with authentication and encryption, improving auth latency by 15% and reducing unauthorized access attempts.

● Designed and developed backend services for reporting and test workflows, supporting over 5 client deployments and contributing to repeat business as part of a top-performing engineering team.

● Optimized Spring Boot REST API services through indexing and join optimization of complex SQL queries, reducing application latency by 25% while delivering production features.