05/28/2026 updated
100 % available
Full-Stack & AI Developer | Web Apps, Automation & Smart Systems
Tokyo, Japan
Only remote
BA Computer ScienceAbout me
I help build AI tools and web apps that automate work and improve customer experience. I’ve experienced AI chat systems that answer customer questions using company data, dashboards that turn business data into clear insights, and tools that automate repetitive tasks—saving hours every week.
RAGLLMChatGPTAutomated Critical Asset Management SystemsBuild AutomationPython (Programming Language)PostgreSQLLiveChatMongoDBNode.jsNext.jsShopifyWordPressChatbotsPHP Frameworks
I build fast, reliable web applications and AI-powered tools that help businesses automate workflows and improve user experience.
✅ AI & Automation
- AI chatbots for customer support
- Workflow automation tools
- Data dashboards & insights systems
- AI integration into web applications
✅ Web Development
- Frontend: React, Next.js, TypeScript, Tailwind CSS
- Backend: Node.js, Express, PHP
- Databases: PostgreSQL, MySQL, MongoDB
✅ CMS & WordPress
- Custom WordPress & WooCommerce development
- Elementor-based websites
- Performance optimization & clean UI
You can expect clean and reliable code, quick communication, smooth collaboration, and a strong focus on building solutions that genuinely support your business.
If you’re building a product, improving performance, or adding AI to your system, feel free to reach out. I’m happy to help.
Experience
Professional experience5 - 10 years
Freelancer since2025
Languages
EnglishNative speakerJapaneseNative speaker
Project history
- Built multi-agent orchestrations that automated complex business workflows across siloed data sources using LangGraph, AutoGen, and CrewAI.
- Built multi-agent orchestrations using LangGraph, AutoGen, and CrewAI, automating complex business workflows across siloed data sources.
- Developed agentic workflows with tool calling, memory management, and self-reflection loops for production-grade AI systems.
- Applied prompt compression, semantic caching, and quantization strategies to reduce latency and operational costs.
- Built GraphRAG systems that reduced hallucination by 60%+ across enterprise QA applications using knowledge graphs and vector retrieval.
- Architected GraphRAG systems combining knowledge graphs with vector retrieval, reducing hallucination by 60%+ across enterprise QA applications.
- Implemented hybrid vector search strategies using Pinecone, Qdrant, FAISS, and Milvus for high-accuracy retrieval at scale.
- Developed document ingestion pipelines using Unstructured.io, LlamaParse, and Azure OCR, enabling seamless enterprise data processing.
- Deployed and fine-tuned production LLMs including GPT-4o, Claude 3.5, Gemini, and Llama 3 with LoRA/QLoRA quantization.
- Deployed and fine-tuned GPT-4o, Claude 3.5, Gemini, and Llama 3 using LoRA/QLoRA quantization for production environments.
- Established comprehensive LLM evaluation frameworks using LangSmith, RAGAS, and DeepEval, tracking hallucination and faithfulness metrics.
- Optimized model inference through quantization and caching, balancing performance, accuracy, and cost.
- Developed 15+ SEO-friendly React/Node.js applications that improved client search rankings by 40%+.
- Built 15+ SEO-friendly web applications using React.js and Node.js/PHP, improving client search rankings by 40%+ across diverse industries.
- Developed custom WordPress SEO automation plugins deployed across 40+ client websites, reducing manual SEO audit time by 70%.
- Implemented AI-driven content analysis solutions that automated SEO workflows, cutting manual audit effort by 70% while improving content quality.
- Optimized MySQL and MongoDB databases for 5 enterprise SEO platforms, achieving consistent page load times under 1.2 seconds.
- Led legacy system migrations to Next.js for major clients, increasing organic traffic by 25% post-launch.