Data Platform Architecture
Designing scalable lakehouse and analytics infrastructure that transforms raw data into actionable intelligence.
Independent Research Lab
Building intelligent systems at the intersection of
Data Platforms,
AI, and
Automation.
DTL explores scalable infrastructure, applied AI systems, and experimental tooling designed to augment human decision-making.
Capabilities
Designing scalable lakehouse and analytics infrastructure that transforms raw data into actionable intelligence.
LLM agents and intelligent automation workflows that integrate seamlessly into enterprise environments.
Rapid prototyping of tools that rethink how engineers work and explore new paradigms for developer productivity.
Research Areas
Exploring how AI can augment developer workflows without adding cognitive overhead.
Migrating legacy systems to modern, cloud-native data architectures.
Building autonomous systems that can reason, plan, and execute complex tasks.
Scalable platforms for real-time voice processing and conversational AI agents.
Applied Work
Real-world systems built for enterprise clients
Architected voice AI infrastructure handling 1000+ daily customer service calls. Built multi-project Terraform IaC, TypeScript/Python APIs, and prompt engineering for phone agents with voice synthesis.
Built RAG chatbot processing 10K+ documents for enterprise knowledge management. Developed semantic chunking for unstructured data and internal LLM tooling with Slack integration.
Implemented Data Vault 2.0 architecture serving 100+ business users. Optimized query performance with 60% reduction in report generation time for retail analytics.
Client work shown with permission. Some details redacted for confidentiality.
Principles
Engineering should amplify thinking, not complexity.
Systems should evolve toward clarity.
AI should extend human capability, not replace it.
We believe the best technology disappears into the background, enabling people to focus on what matters. Every system we build is measured by how much cognitive load it removes, not adds.
Founded by
Data Platform Engineer with 7+ years building scalable infrastructure at organizations including Novo Nordisk and Coca-Cola Bottlers Japan. Based in Tokyo.
Visit personal siteGet in Touch
Interested in collaboration, consulting, or just want to discuss data platforms and AI systems?
[email protected]