At Pathao, Inc Ltd, I rewrote a legacy geospatial SOA application into Kubernetes-based microservices on GCP using H3 indexing. The work improved system accuracy from 95% to 99.5% and generated ✩133K in annual revenue.
I also introduced Redis caching for critical data pipelines, reducing average request latency by 70% and infrastructure costs by 40%. I designed multi-region GCP deployments and added Prometheus metrics and Grafana dashboards to improve availability and reduce MTTR.
Earlier at Pathao, Inc Ltd, I shipped a restaurant availability optimization engine that lifted deliveries per hour by 20% and generated ✩3K/month in revenue. I’ve also worked on asynchronous processing, CI/CD pipelines, and geospatial APIs, using Go, Kubernetes, and PostgreSQL.

