Independent Research Lab

Dai Tech 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.

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What We Do

Data Platform Architecture

Designing scalable lakehouse and analytics infrastructure that transforms raw data into actionable intelligence.

Snowflake dbt Dagster Lakehouse

Applied AI Systems

LLM agents and intelligent automation workflows that integrate seamlessly into enterprise environments.

LLM Agents RAG Automation Tool Use

Engineering Experiments

Rapid prototyping of tools that rethink how engineers work and explore new paradigms for developer productivity.

Prototyping DevTools CLI Workflows

Current Focus

AI-Assisted Engineering

Exploring how AI can augment developer workflows without adding cognitive overhead.

Enterprise Data Modernization

Migrating legacy systems to modern, cloud-native data architectures.

Agent-Driven Automation

Building autonomous systems that can reason, plan, and execute complex tasks.

Edge-Native Infrastructure

Distributed systems designed for low-latency, high-availability deployments.

Projects

Experimental systems and applied research

Active 2025

GenAI TC Tool

An AI-powered technical consulting assistant that maps UI to databases, learning data fields to act as an expert system for enterprise data migration.

LLM RAG Enterprise
Research 2024

Data Platform Experiments

Reference architectures and patterns for modern data platforms. Exploring the boundaries of lakehouse design and real-time analytics.

Snowflake dbt Dagster
Prototype 2025

Agent Workflow Engine

A lightweight orchestration layer for LLM agents. Enabling complex, multi-step reasoning with tool use and memory.

Python Agents Tool Use

Projects are works in progress. Some are internal tools, others may become open-source contributions.

Philosophy

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

Yuhao Dai

Data Platform Engineer with 7+ years building scalable infrastructure at organizations including Novo Nordisk and Coca-Cola Bottlers Japan. Based in Tokyo.

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Let's Talk

Interested in collaboration, consulting, or just want to discuss data platforms and AI systems?

hello@daitechlab.com