Engineered an AI dispatch system integrating LLMs with Google Maps API for FSE routing and cost-optimized recommendations, reducing dispatch time by 30% and travel costs by 15% across 500+ monthly incidents

Designed a modular Angular ERP architecture using abstract base components and shared services, standardizing lifecycle, grid, and data handling logic, cutting 40% redundant code and boosting feature delivery speed by 35%

Optimized backend performance with Redis caching, AWS Lambda serverless execution, and S3-based asset delivery, cutting API latency by 25%, reducing infrastructure costs, and improving system uptime to 99.95%

Delivered an AI recommendation engine in 2 weeks using AWS Bedrock and Google Places API, dynamically curating personalized plans based on user location and interests

Drove 25% retention improvement by implementing Spring Boot microservices for behavioral analytics, enabling data-driven product decisions and launching features aligned with user engagement patterns

Integrated GitHub Actions CI/CD pipeline enforcing 100% Jest and Storybook test coverage on every PR, eliminating frontend regressions, streamlining code review, and guaranteeing consistent UI across the platform