Hiroyuki Masuda

Product Lead Engineer with 10+ years of backend and infrastructure experience. Owning product-wide engineering accountability — technical strategy, team growth, and cross-functional decision-making. Recently building AI systems that automate complex workflows — from natural language understanding to API orchestration, knowledge retrieval, and operational decision support.

Building and operating MCP servers with FastMCP, AI agents with Go + Genkit, and running local fine-tuning experiments with LoRA + MLX on Apple Silicon. Integrating LLMs into production via Vertex AI, Claude, and Gemini.

Depending on the requirements, I work with Go, Rust, C++, TypeScript, Python for development, and commonly use gRPC, ConnectRPC, GraphQL, Pub/Sub for service communication.

I actively engage in re-architecting systems, including reviewing domain modeling for complex core services, service decomposition, and implementing Event Sourcing & CQRS on top of orchestration-based Saga patterns. Event store data is utilized for aggregate reconstruction, audit logs, and training data.

I also manage cloud-native infrastructure, including microservice container operations, CI/CD (Argo Rollouts, PipeCD, Cloud Build, GitHub Actions), and environment setup using Kubernetes, Istio, Prometheus, Grafana, Terraform. I focus on building productivity tools and reducing toil.

On Google Cloud / AWS, I have hands-on experience with a wide range of services including GKE, Anthos, Cloud Run, Pub/Sub, AlloyDB, Spanner, BigQuery, Vertex AI.