08/29/2026 updated
100 % available
Senior AI & Full Stack Engineer
Osaka, Japan
Worldwide
Bachelor of Science in Computer ScienceAbout me
Senior AI & Full Stack Engineer with 8+ years of experience building scalable SaaS platforms, AI applications, and cloud-based systems. I have strong experience with LLMs, RAG, AI agents, LangChain, OpenAI APIs, FastAPI, React, Kubernetes, and AWS.
AI AgentsRAGTailwind CSSOpenAILLaMALangChainActionScriptLinuxDevOpsDjangoGitHubPython (Programming Language)PostgreSQLMongoDBMySQL
AI & Machine Learning
Expertise in building and deploying production AI applications using LLMs such as GPT, Claude, Llama, and Mistral, as well as LangChain, LangGraph, RAG pipelines, AI Agents, OpenAI API, Vector Databases, Prompt Engineering, and Fine-tuning techniques including LoRA and PEFT.
Full Stack Development
Strong proficiency in both frontend and backend development, covering React, Next.js, TypeScript, Tailwind CSS, Redux, React Query on the frontend, and Python, FastAPI, Django, Node.js, Express, Go, GraphQL, and REST APIs on the backend.
Cloud & DevOps
Hands-on experience with cloud infrastructure and DevOps tooling including AWS, Docker, Kubernetes, Terraform, GitHub Actions, Nginx, Linux, and CI/CD pipelines, with a track record of reducing API latency and deployment times significantly.
Database Management
Proficiency with a wide range of databases including PostgreSQL, MongoDB, MySQL, Redis, Pinecone, Weaviate, and Elasticsearch, supporting both relational and vector-based data storage needs.
RAG Pipeline Development
Design and implementation of Retrieval-Augmented Generation pipelines that improve response accuracy and reduce hallucinations in enterprise knowledge systems.
AI Agent Development
Development of AI agents to automate multi-step business workflows, reducing manual effort and improving operational efficiency.
Microservices Architecture
Development of microservices-based platforms using React, Node.js, GraphQL, and PostgreSQL, with CI/CD pipelines implemented via GitHub Actions and Docker.
Privacy-Preserving Machine Learning
Implementation of privacy-preserving machine learning techniques for healthcare applications, alongside real-time sentiment analysis pipelines with high prediction accuracy.
Expertise in building and deploying production AI applications using LLMs such as GPT, Claude, Llama, and Mistral, as well as LangChain, LangGraph, RAG pipelines, AI Agents, OpenAI API, Vector Databases, Prompt Engineering, and Fine-tuning techniques including LoRA and PEFT.
Full Stack Development
Strong proficiency in both frontend and backend development, covering React, Next.js, TypeScript, Tailwind CSS, Redux, React Query on the frontend, and Python, FastAPI, Django, Node.js, Express, Go, GraphQL, and REST APIs on the backend.
Cloud & DevOps
Hands-on experience with cloud infrastructure and DevOps tooling including AWS, Docker, Kubernetes, Terraform, GitHub Actions, Nginx, Linux, and CI/CD pipelines, with a track record of reducing API latency and deployment times significantly.
Database Management
Proficiency with a wide range of databases including PostgreSQL, MongoDB, MySQL, Redis, Pinecone, Weaviate, and Elasticsearch, supporting both relational and vector-based data storage needs.
RAG Pipeline Development
Design and implementation of Retrieval-Augmented Generation pipelines that improve response accuracy and reduce hallucinations in enterprise knowledge systems.
AI Agent Development
Development of AI agents to automate multi-step business workflows, reducing manual effort and improving operational efficiency.
Microservices Architecture
Development of microservices-based platforms using React, Node.js, GraphQL, and PostgreSQL, with CI/CD pipelines implemented via GitHub Actions and Docker.
Privacy-Preserving Machine Learning
Implementation of privacy-preserving machine learning techniques for healthcare applications, alongside real-time sentiment analysis pipelines with high prediction accuracy.
Experience
Professional experience5 - 10 years
Freelancer since2026
Languages
EnglishFluentJapaneseNative speaker
Project history
Designed and deployed production AI applications using FastAPI, LangChain, OpenAI APIs, and vector databases. Built RAG pipelines for enterprise knowledge systems. Developed AI agents to automate multi-step business workflows. Optimized cloud infrastructure reducing API latency by 40%. Led a team of eight engineers delivering scalable AI services.
Built machine learning pipelines for real-time sentiment analysis. Implemented privacy-preserving ML techniques for healthcare applications. Integrated AI-powered features into the company's SaaS platform. Developed backend services using Python, FastAPI, PostgreSQL, and Docker.
Developed a microservices-based e-commerce platform using React, Node.js, GraphQL, and PostgreSQL. Reduced page load time by 30% through frontend optimization. Designed GraphQL APIs for high-volume production traffic. Implemented CI/CD pipelines using GitHub Actions and Docker, reducing deployment time from 3 hours to 25 minutes.