Hiroyuki Masuda

Forward Deployed Engineer and Engineering Manager with 10+ years of backend and infrastructure experience, now working in AI engineering, recommender systems, and personalization. I sit between customers and the product — leading delivery on the client side while feeding what I learn back into the platform, and building the FDE organization that scales it. Previously owned product-wide engineering accountability as a Product Lead Engineer: technical strategy, team growth, hiring, and cross-functional decision-making.

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 Gemini Enterprise Agent Platform (formerly 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, Gemini Enterprise Agent Platform.