With 3 years of professional experience, I build and run production backend systems end to end: Java (Spring Boot) microservices, containerized with Docker and deployed on Kubernetes, with full observability and cloud integration. I work across the whole lifecycle — designing REST APIs, modeling data, wiring messaging and caching, adding metrics and health checks, and shipping to a Kubernetes cluster.
Core strengths
- Java / Spring Boot microservices: REST APIs, Spring Data JPA, Spring Security, caching, and messaging (RabbitMQ / AMQP). I've authored and own production services including a recommendation engine, an analytics service, an authentication service, and an order read-replica service.
- Kubernetes & DevOps: Dockerized services, Kubernetes deployments and service manifests, Prometheus / Micrometer monitoring (ServiceMonitor), Actuator health checks, and horizontal scaling.
- Databases & messaging: PostgreSQL, MongoDB, Redis / caching, RabbitMQ; read-replica and high-throughput data-access patterns.
- Cloud: Google Cloud (BigQuery, Secret Manager, Spring Cloud GCP) and AWS messaging.
Recommendation & data
I specialize in recommendation and personalization systems. I've built a production Spring Boot recommendation microservice and segment-aware models in BigQuery — lift-based "frequently bought together", sequential next-purchase prediction, and brand/category affinity. I'm comfortable across the full data path: SQL/BigQuery modeling, Python ETL, and OCR/document-extraction pipelines.
Also
- Mobile: offline-first React Native / Expo apps shipped to the Play Store.
- AI automation: LLM + text-to-speech (ElevenLabs) content and workflow pipelines, prompt engineering, and RAG.
What you get: clean, documented, tested code; production-grade thinking around monitoring, scaling, and security; and an engineer who ships from the database and Kubernetes cluster all the way to the app the user touches. Tell me the outcome you want and I'll propose the simplest reliable way to get there.
Skills: Java, Spring Boot, Kubernetes, Docker, Microservices, PostgreSQL, MongoDB, RabbitMQ, Redis, Prometheus, BigQuery, GCP, AWS, Python, SQL, Recommendation Systems, React Native, LLM / GenAI.