System Architecture,
Operational Scale,
Scientific Computing.
10+ years engineering high-concurrency microservices and leading multinational technical teams.
Bridging industry scale and academic rigor. Applying AI-driven optimization to distributed systems, operational efficiency, and structural data architectures for scientific modeling.
Actively exploring Direct Funded PhD opportunities in AU.
Currently Engineering Manager at AstronLab. Ex-Zeals (Tokyo).
Core Competencies
Distributed Systems • High-Concurrency Microservices • Scientific Computing
Applied AI Research • Operational Intelligence • Engineering Leadership
Technical Stack & Tooling
Current Research Intentions
My work sits at the intersection of high-concurrency software engineering and scientific computing. I am currently exploring the application of AI-driven operational optimization in distributed architectures, while simultaneously developing robust pipelines for computational biology and statistical modeling (e.g., pipeline optimization for high-dimensional biological data formats).
Leveraging a decade of applied industry expertise leading data-intensive architectures, I am actively seeking to transition into a formal Direct Funded PhD or collaborative research role, contributing deeply to both academic literature and translational technology.
Applied Research & Engineering
View catalogtaskpilot mcp
AI-powered project management server with workflow-based feedback control (Model Context Protocol). Designed to scale operational efficiency.
drpc: Decentralized RPC Framework
A secure, peer-to-peer decentralized RPC framework built on libp2p with gRPC support, scaling high-throughput environments.
Scholarly & Technical Writing
View archivetuneR: A Deep Dive into Hyperparameter Optimization with mixOmics
In-depth analysis of statistical methods for multivariate omics analysis, translating statistical rigor into optimized R packages.
From Microservices to Microbiomes: A Software Architect's Guide to Conquering Omics Data
Demonstrating expertise in omics data architecture and the application of high-concurrency microservice design to computational biology.