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Yu Otsubo (大坪 悠)

Yu Otsubo (大坪 悠)

AI Development Lead / Software Engineer


Background


About

About

Software and Infrastructure developer with 9+ years of experience, currently leading engineering teams with a focus on generative AI and AI agent development. AWS Certified Solutions Architect - Professional with deep expertise in serverless architecture and production-level AI systems. Published 3 technical books in 2025 on MCP and AI agents. Led development of A-BOSS, a production AI agent serving 700+ users at KDDI. Camera and music-loving web developer who is also an amateur DTM composer and guitarist. Active open source contributor with 190+ GitHub repositories.

Work Experience

Work Experience

  • Software Engineer / AI Development Lead, 

    Feb, 2024 - Present

    Leading generative AI application development with focus on AI agents. Development lead for A-BOSS (AI Business Department Manager) serving 700+ users. Published 3 technical books in 2025. Contributing to AWS Japan Official Blog and providing training as KAGAI Learning Hub instructor.

    • Development lead for A-BOSS - AI agent for KDDI corporate sales, serving 700+ users with 10 hours/month efficiency gain per user

    • Built 議事録パックン (Minutes Pakkun) - comprehensive sales support tool with meeting transcription and proposal generation

    • Deployed かぐたん (Kagutan) - secure internal AI chatbot to 1,200 users across 4 companies with ~2,000 monthly requests

    • Co-authored 3 technical books: 'やさしいMCP入門', 'AIエージェント開発/運用入門', and 'KAG Tech Book Vol.1'

    • Featured in AWS Japan Official Blog for A-BOSS case study

    • Instructor at KAGAI Learning Hub for GenAI and AI agent training

    • Active speaker at technical conferences including NW-JAWS and Langfuse Night

    • Currently on parental leave (Sep 2025 - Apr 2026) while continuing technical activities

  • SRE Engineer, 

    Sep, 2023 - Jan, 20244 months

    As an SRE Engineer, improved continuous development processes using AWS CDK, GitHub Actions, and Autify.

    • Built and improved CI/CD pipeline and infrastructure on AWS

    • Migrated services from EC2 to ECS/Fargate with Blue/Green deployment

    • Expanded automated testing using Autify and developed execution pipeline for QA efficiency

  • Application Engineer / Development Manager, 

    Aug, 2018 - Aug, 20235 years 1 month

    Full-cycle engineer for Web-based event matching platform using AWS, Nest.js, and React with TypeScript. Development Manager for Product Infrastructure team.

    • Developed pseudo-live function for pre-recorded video live streaming

    • Built video distribution platform and API infrastructure for external collaboration

    • Developed public API platform and MA/SFA integration (Marketo/Salesforce connectors)

    • Created Data Clean Room with Snowflake and AWS

    • Led Product Infrastructure team mission formulation and execution

    • Accelerated CI/CD and maintained E2E tests for engineering team support

    • Introduced FaaS migration and Blue/Green deployment

  • Tech Lead / Senior Engineer, 

    Apr, 2019 - Jul, 20212 years 4 months

    Tech Lead and AWS architect for Web-based and Native App chatbot services. Led team of 8-10 members with responsibilities spanning architecture, development, team management, and stakeholder negotiation.

    • First experience as tech lead

    • Architecture featured at AWS Summit Tokyo 2019

    • Managed 8-10 member team

    • Scrum development methodology

  • Data Engineering Developer, 

    Oct, 2017 - Mar, 20191 year 6 months

    Developed data analysis infrastructure for chatbot conversation analysis. Implemented Data-lake architecture with serverless Lambda Python and Pandas.

    • Data-lake Architecture using AWS

    • Serverless with Lambda Python

    • Pandas data analysis

    • Scrum development

  • Backend/DevOps Engineer, 

    Oct, 2016 - Sep, 20171 year

    Developed and operated Web-based chatbot services using AWS, Python, and Node.js. Architecture featured ECS with Docker, DynamoDB, Lambda, and S3.

    • First experience using AWS

    • First experience using Python and Node.js

    • Serverless architecture implementation

    • CI/CD with Drone and Pytest

    • Lectured at AWS Summit Tokyo 2019 company booth

    • Scrum development

  • Project Manager, 

    Apr, 2017 - Sep, 20176 months

    Led analytics operation system development using Splunk and Hadoop (MapR) for internal log analysis.

    • Project management and team building

    • Big data handling with Splunk and Hadoop (MapR)

    • Internal log analytics operation system

  • System Engineer / DevOps, 

    Apr, 2016 - Mar, 20171 year

    Developed and operated location-based services using on-premise servers. Built integrated monitoring system with Zabbix.

    • Location-based service development and operation

    • Integrated monitoring system with Zabbix and Expect automation

    • First professional engineering role

Projects Experience

Projects Experience

  • A-BOSS (AI Business Department Manager), KDDI Agile Development Center

    Jul, 2024 - Present

    Production AI agent serving as a virtual department manager for KDDI corporate sales. Provides executive-level expertise for proposal reviews and strategic guidance. Features faithful replication of real executive's thinking patterns, personality, and speaking style (including Kansai dialect). Built on Amazon Bedrock with Agentic Workflow using ReAct pattern.

    • Serving 700+ KDDI corporate sales staff in production

    • Achieves 10 hours/month efficiency gain per user

    • Reduced proposal creation time by up to 1 hour

    • Contributes to KDDI-BX initiative (46,939 hours/year saved company-wide)

    • Featured in AWS Japan Official Blog and multiple media outlets (Nikkei, Business Insider Japan)

    • Multi-modal analysis including PowerPoint documents

    • Automatic user feedback summarization and reflection

    • RAG with internal knowledge base

    • LLMOps with Langfuse for observability

  • 議事録パックン (Minutes Pakkun), KDDI Agile Development Center

    Sep, 2024 - Present

    Comprehensive sales support tool covering the full cycle: meeting transcription → proposal creation → knowledge sharing. Automatically generates meeting minutes from audio/video, creates proposal drafts, searches internal product information, generates competitor comparison tables, and creates daily/weekly reports.

    • Saves up to 1 hour per meeting

    • End-to-end sales activity support

    • Multi-modal input (audio/video)

    • Automated proposal generation

    • Internal knowledge base integration

    • Competitor analysis automation

  • midi-mcp-server, Personal OSS

    Apr, 2025 - Present

    Model Context Protocol server for MIDI generation. Enables AI agents to create MIDI files programmatically through standardized protocol interface.

    • 16 stars on GitHub

    • Early contribution to MCP ecosystem

    • TypeScript implementation

    • Integration with midi-writer-js

  • langfuse-v3-terraform, Personal OSS

    Dec, 2024 - Present

    Terraform module for deploying Langfuse v3 on AWS. Enables cost-effective LLMOps infrastructure setup with best practices.

    • Production-ready Terraform module

    • Cost-optimized AWS deployment

    • Comprehensive blog posts on operation

    • Community contributions to Langfuse ecosystem

  • The Chatbot Service for Customer Support (Web), KDDI Corporation

    Mar, 2016 - Sep, 20182 years 6 months

    Hybrid architecture chatbot combining AI and human operators for telecommunications customer support. Achieved high FAQ response rate using Elasticsearch as search engine.

    • Hybrid architecture with chatbot and human operators

    • Elasticsearch-based FAQ search engine

    • Labor saving and improved customer satisfaction

    • Roles: Primary Developer, Data Scientist, Scrum Master

  • The Chatbot Service for Customer Support (Native Apps), KDDI Corporation

    Oct, 2018 - Mar, 20223 years 6 months

    Enhanced chatbot service for Android and iOS customer support apps. Microarchitecture using Node.js for BFF with WebSocket, Python for backend. Architecture featured at AWS Summit Tokyo 2019.

    • Native app chatbot for Android and iOS

    • WebSocket-based real-time communication

    • Microarchitecture with Docker containers

    • Featured at AWS Summit Tokyo 2019

Skills

Skills

  • Generative AI & LLM

    Amazon Bedrock

    Claude 4 (Opus/Sonnet)

    OpenAI API

    LangChain

    LangGraph

    Mastra

    Model Context Protocol (MCP)

    Langfuse

    ReAct Agent Pattern

    Agentic Workflow

    Multi-Agent Systems

    A2A Protocol

    RAG (Retrieval Augmented Generation)

  • AWS Cloud Services

    Lambda

    ECS/Fargate

    DynamoDB

    S3

    SQS/SNS

    CloudWatch

    Athena

    Glue

    Kinesis

    RDS

    ElastiCache Valkey

    OpenSearch Serverless

    Transcribe

    AppSync

    Amplify

    Terraform

    AWS CDK

    Terraform Cloud

  • Backend Development

    FastAPI (Python)

    Flask (Python)

    Nest.js (TypeScript)

    Node.js

    Express

    SpringBoot (Java)

    Echo (Go)

    Pytest

    Pandas

    Scikit-learn

  • Frontend Development

    React.js

    Next.js

    Gatsby.js

    Astro

    Vue.js

    Nuxt.js

    Preact

    TypeScript

    Styled Components

    Bootstrap 5

    Sass/SCSS

    Jest

    React Testing Library

    Cypress

    Storybook

    Percy

    Lighthouse

  • Database & Data Engineering

    MySQL

    PostgreSQL

    ClickHouse

    Snowflake

    Presto with Hadoop

    Data Lake Architecture

  • DevOps & CI/CD

    GitHub Actions

    Drone CI

    CircleCI

    Travis CI

    Azure Pipelines

    Docker

    Autify

    K6 Load Testing

    Blue/Green Deployment

    Serverless Architecture

    Prettier

    ESLint

    Stylelint

    Textlint

  • Security & Monitoring

    Snyk

    OWASP ZAP

    Gitguardian

    Brightsec

    Sentry

    Zabbix

    Splunk

  • Data Science & ML

    Jupyter Notebook

    Pandas

    Scikit-learn

    R

    Keras

    Statistical Analysis

  • Mobile Development

    Flutter (Dart)

    Android Java (WearOS)

Education

Education

  • Department of Education, Bachelor, Waseda University

    Apr, 2012 - Mar, 2016

    3.4

    Social education

    Educational psychology

    Education within enterprise

  • Software Engineering (Sub-major), Sub-major, Waseda University

    Apr, 2012 - Mar, 2016

    Javascript

    C++

    Ruby

    VisualBasic

    Java

    Unix/Linux

    UML/Design Pattern

    Multimedia (Adobe PhotoShop/AfterEffects/Premier)

  • Data Analysis (Sub-major), Sub-major, Waseda University

    Apr, 2012 - Mar, 2016

    Database (MySQL, Oracle)

    R

    Multivariate analysis

    Social statistics

  • General Education, High School Diploma, Niigata Prefectural Nagaoka High School

    Apr, 2009 - Mar, 2012

Certificates

Certificates

Awards

Awards

  • AWS Summit Tokyo 2019 - Featured Speaker , Amazon Web Services / KDDI Corporation

    Awarded on: Jun 12, 2019

    Lectured at company booth on chatbot architecture using AWS services. Presented serverless architecture with ECS, DynamoDB, and Lambda.

  • KDDI-BX Project Achievement , KDDI Corporation

    Awarded on: Dec 31, 2024

    A-BOSS project contributed to 46,939 hours/year saved across KDDI-BX initiative. Generated 10 hours/month efficiency per user for 700+ sales staff.

  • Award of Technology Quality Improvement , KDDI Corporation

    Awarded on: Mar 31, 2019

    Stable and flexible system design utilizing AWS and successfully responded to large-scale traffic without problems.

Volunteer Work

Volunteer Work

  • Community Member, Langfuse JP同好会

    Jan, 2024 - Present

    Active participant in Japanese Langfuse community, sharing LLMOps knowledge and best practices.

    • Speaker at Langfuse Night #1 (Nov 2024): 'Langfuse v3 使ってますか?'

    • Developed langfuse-v3-terraform module for AWS deployment

    • Published blog posts on cost-effective Langfuse operation

  • Instructor, KAGAI Learning Hub

    Jan, 2025 - Present

    Providing enterprise training on generative AI and AI agent development.

    • Corporate training on GenAI application development

    • AI agent architecture and LLMOps workshops

    • Sharing production-level implementation knowledge

  • Active Contributor, Open Source Community

    Jan, 2016 - Present

    Maintaining 190+ public repositories with focus on developer productivity tools and AI agent ecosystem.

    • Created midi-mcp-server (16 stars) - MCP server for MIDI generation

    • Developed mcp-prompts - MCP server for prompt template management

    • Built langfuse-v3-terraform - Terraform module for Langfuse v3 on AWS

    • Maintained portfolio and blog sites with 100% Lighthouse scores

    • Created developer tools: ebook_homebrew, update_release, npm_profile_card

Publications

Publications

  • やさしいMCP入門 (Gentle Introduction to MCP) , 秀和システム (Shuwa System)

    Published on: Jul 01, 2025

    Co-authored with Minoru Onda. Introduction to Model Context Protocol (MCP), the new standard for AI agent era. Based on popular slides, explains fundamentals accessible to both engineers and non-engineers. Covers MCP architecture, hands-on tutorials, client/server applications, and business impact. Reprinted within 2 months due to strong reception. 160 pages, A5 format.

  • AIエージェント開発/運用入門 [生成AI深掘りガイド] (AI Agent Development/Operations Guide) , SBクリエイティブ (SB Creative)

    Published on: Oct 01, 2025

    Co-authored with Minoru Onda and Masaki Tsukada. Comprehensive guide covering AI agent fundamentals to implementation and LLMOps. Includes complete implementation examples from simple reasoning agents to MCP-based and multi-agent systems. Covers LangChain, LangGraph, Mastra, Amazon Bedrock, Langfuse, and Guardrails. Features full-color illustrations and extensive hands-on exercises. Launch event held on release date. 408 pages.

  • KAG Tech Book -Vol1- , KDDI Agile Development Center

    Published on: May 30, 2025

    Technical anthology by KDDI Agile Development Center engineers. Contributed chapter on 'Celery in Detail' - comprehensive guide to Python distributed task queue library including operational considerations and AWS scaling practices. Published at Gijutsushoten 18 (Tech Book Festival 18).

Interests

Interests

  • Professional Interests

    Generative AI and LLM applicationsAI Agent development and orchestrationLLMOps and observabilityAWS serverless architectureFull-stack web developmentDevOps and CI/CD automationOpen source contributionTechnical writing and knowledge sharing
  • Photography

    Landscape photographyHistorical buildings and architectureEmotional and atmospheric shotsTravel photography worldwide
  • Music

    DTM composition (Vocaloid)Guitar playingHigh-tempo rhythmic musicCollaboration with other artists
  • Personal Projects

    Weekend coding projectsHome automation with Raspberry PiChrome theme developmentTechnical blog writing