Soichiro Inatani - Software Engineer

R&D Engineer and UX Researcher - Bridging innovative technology with human-centered design

CV

Soichiro Inatani

R&D Engineer | Software Engineer | UX Researcher

📧 inai17ibar@gmail.com 🌐 GitHub | LinkedIn 📍 Tokyo, Japan

Professional Summary

Experienced R&D Engineer and Software Engineer with expertise in developing innovative applications using Python, TypeScript, React, and modern AI technologies. Strong background in machine learning, image processing, natural language processing, and LLM applications. Proven track record in UX research with 5 years of experience bridging technology and user needs. Passionate about creating global business opportunities through engineering.

Core Competencies

Technical Skills

  • Primary Languages: Python, TypeScript, React, C++, C#, Go
  • AI/ML: Machine Learning, LLM/VLM Applications, LLMOps, Image Processing, Natural Language Processing
  • Frameworks & Tools: LangChain, Three.js, Unity, Unreal Engine
  • Research Methods: User interviews, usability testing, data analysis, PoC development
  • Development: Full-stack development, algorithm implementation, system architecture

Research & Analysis

  • User Experience Research (5+ years)
  • Data-driven decision making
  • Product strategy and roadmap development
  • Technical feasibility analysis
  • International research collaboration

Professional Experience

R&D Engineer & Software Engineer

Sony Corporation - Tokyo, Japan April 2016 - Present

LLM/VLM Creative Application Development (2023 - Present)

  • Role: Software Engineer, Algorithm Implementation, LLMOps
  • Technologies: TypeScript, Python, Three.js, C#
  • Developed frontend applications and algorithms using TypeScript and Python
  • Reproduced and implemented research paper algorithms (C#, Python)
  • Built and validated VLM-based automation system for algorithm evaluation, replacing manual human evaluation
  • Implemented coverage evaluation system for foundation models
  • Impact: Created 3D algorithm programs using TypeScript and Three.js; developed LLMOps system components

LLM Mental Health Development (2024 - Present)

  • Role: Software Engineer, UX Research, LLM Application Development
  • Technologies: TypeScript, Python, LangChain
  • Developed frontend and backend services using TypeScript and Python
  • Enhanced LLM functionality using LangChain
  • Conducted multiple PoCs and managed outsourced experimental app development
  • Impact: Clarified requirements through PoCs; delivered validated prototype applications

Virtual Production Projects

  • Role: Accessibility R&D focused on hearing-impaired users

Entertainment Business and Research Collaboration (2018 - 2019)

  • Role: Music Business Team Leader (3 members), Software Engineer
  • Technologies: C++, Python
  • Extracted customer challenges in the music business domain
  • Conducted PoCs demonstrating feasibility of ideas and concepts
  • Performed technical validation using prior research and internal technologies
  • Established collaborative framework with music business division

AR Glasses/Hand Controller Project (2016 - 2018)

  • Role: R&D Engineer, Sub-Project Leader (~10 members)
  • Technologies: Unity, C#, Python, C++, Unreal Engine
  • Designed UX and interactions from customer research through requirements definition
  • Developed and validated Unity applications integrated with HMD and hardware
  • Designed and implemented logger and simulator for hardware-transmitted data
  • Implemented and validated hazard detection algorithms; established safety guidelines for AR glasses during walking
  • Impact:
    • Filed 4 patents as primary inventor
    • Created middleware connecting multiple HMD types with OptiTrack and proprietary hardware
    • Developed multiple demo AR applications using the middleware

Algorithm Engineer (Side Project)

Image Processing Algorithm Improvement Project 2022 (3 months)

  • Technologies: Python, C++, Image Processing
  • Improved accuracy and speed of specific object detection algorithms
  • Impact: Achieved 4x speed improvement (1300ms → 300ms) while maintaining accuracy

Machine Learning Engineer (Intern)

Uzabase, Inc. - Tokyo, Japan 1 year

  • Applied machine learning techniques to business challenges

Long-term Intern

FreakOut Inc. - Tokyo, Japan

Education

Master of Engineering - Information Engineering

Tokyo University of Agriculture and Technology - Tokyo, Japan April 2014 - March 2016

  • Research: Character and non-character separation in digital handwriting using LSTM Neural Networks

Exchange Student

Czech Technical University - Prague, Czech Republic August 2014 - December 2014

  • 4-month research exchange program
  • Poster presentation at peer-reviewed international conference

Bachelor of Engineering - Information Engineering

Tokyo University of Agriculture and Technology - Tokyo, Japan April 2010 - March 2014

  • 6 years of research experience in machine learning and pattern recognition

Career Vision

My goal is to become a Product Manager who deeply understands technology after gaining a few more years of hands-on engineering experience. I believe PdMs will play a crucial role in business success in the AI era.

My strength lies not just in technical capability, but in deeply understanding business objectives and customer value through both quantitative and qualitative metrics. By combining this with technical expertise, I can deliver meaningful value. My long-term aspiration is to launch new global businesses from Japan through engineering excellence.

Languages

  • Japanese: Native
  • English: Professional working proficiency

This CV is regularly updated. For the most current version, please visit my GitHub Pages or contact me directly.