Pre-planning and discovery
Use AI to explore problem spaces, identify stakeholders, draft discovery questions, compare product approaches, convert rough ideas into structured plans, and prepare decision-ready briefs.
AI-enabled delivery · Tokyo, Japan · Remote
AI Consultant for product, engineering, and startup execution.
Senior Technical Program Manager using AI across the full SDLC: pre-planning, discovery, requirements, architecture, development, testing, release, operations, documentation, and post-development improvement. 15+ years across e-commerce, payments, finance, mobile, backend, and global delivery.
AI consulting profile
Practical AI use across development, delivery, and startup operations.
I research, build, and work daily with AI as a hands-on development partner and operational accelerator. My focus is not limited to code generation: I use AI to clarify ideas, shape product direction, write requirements, compare architecture options, speed up implementation, improve reviews, prepare releases, analyze incidents, create documentation, and identify repeatable workflows that can help a startup move faster.
AI exposure
AI across the SDLC, business functions, and daily systems.
This section is separate from my employment history. It describes how I use and evaluate AI as a practitioner, consultant, and builder.
Requirements and architecture
Use AI to turn business context into user stories, acceptance criteria, technical specs, architecture tradeoffs, risk lists, API outlines, data models, and rollout plans.
Development acceleration
Use AI in hands-on development for scaffolding, code review, refactoring, test design, debugging, documentation, UI iteration, and faster movement across unfamiliar codebases.
Testing, release, and operations
Use AI to generate test cases, inspect edge cases, prepare release notes, review operational risks, summarize incidents, and convert lessons learned into preventive actions.
Startup workflows beyond engineering
Apply AI to founder research, hiring workflows, customer support drafts, sales and marketing content, investor preparation, competitive research, process automation, and internal knowledge management.
Daily AI operating style
Use AI in everyday life and work as a thinking partner for research, writing, learning, planning, communication, decision support, and personal productivity.
AI for management
How I use AI as a Senior Technical Program Manager.
My AI usage is not only engineering-focused. I use it to improve the management layer around technical work: clarity, alignment, risk control, decision quality, and faster execution across product, program, and project responsibilities.
Cross-team clarity and executive-ready delivery control
- Turn scattered updates into program status, risks, decisions, and next actions.
- Compare roadmap options across teams, dependencies, milestones, and delivery risk.
- Draft stakeholder updates, steering notes, escalation summaries, and leadership briefs.
- Analyze incidents and recurring delivery friction to propose preventive process changes.
Planning, tracking, and risk management at execution speed
- Break ambiguous goals into tasks, owners, timelines, acceptance checks, and QA gates.
- Generate project plans, meeting agendas, RAID logs, test scopes, and release checklists.
- Identify hidden assumptions, missing dependencies, edge cases, and schedule risk early.
- Convert meeting notes into decisions, action items, follow-ups, and Jira-ready work.
Better discovery, prioritization, and customer-facing thinking
- Explore user needs, market context, personas, jobs-to-be-done, and product hypotheses.
- Draft PRDs, user stories, acceptance criteria, launch notes, and experiment plans.
- Evaluate feature ideas by value, complexity, adoption friction, and operational cost.
- Translate technical tradeoffs into business language for non-technical stakeholders.
Input: messy reality
AI: structure, compare, draft, challenge
TPM judgment: decide, align, execute
Output: faster delivery with clearer risk
AI in SDLC
Where AI fits from idea to production.
01
Pre-plan
Market scan, problem framing, stakeholder map, assumptions, first project brief.
02
Define
User stories, acceptance criteria, edge cases, data needs, delivery milestones.
03
Design
Architecture options, API shape, UX flows, risk comparison, rollout strategy.
04
Build
Scaffolding, implementation, refactoring, code review, documentation.
05
Verify
Test cases, QA checklists, regression risks, release notes, incident prevention.
06
Operate
Metrics review, support drafts, incident summaries, learning loops, workflow automation.
Founder research
Market, competitors, positioning
Go-to-market
Sales copy, landing pages, outreach
Operations
SOPs, hiring, support, automation
Knowledge
Docs, decisions, onboarding, memory
Consulting strengths
Where AI exposure connects with delivery experience.
AI-Assisted Software Development
AI in SDLC
Startup AI Workflows
Prompted Research and Planning
AI-Enhanced Documentation
AI for Product Discovery
Program Management
Project Management
Cross-functional Teams
Agile Methodologies
Requirement Gathering
Risk Management
Stakeholder Collaboration
Process Improvement
Global Deployments
Software Development
Professional work history
Fast Retailing, Moneytree, Origami, and Rakuten.
This timeline reflects my formal employment history and domain background. The AI section above describes my current AI consulting exposure and working style.
Sep 2023 - Present
Senior Technical Program Manager, All Regions
Fast Retailing Group (Uniqlo, GU, PLST) · Tokyo, Japan
- Currently leads multiple projects across diverse teams of 30+ microservices within the e-commerce department.
- Manages global deployments and complex projects aligned with various teams.
- Applies risk management and stakeholder engagement to support successful project execution.
- Fosters collaboration between technical and non-technical teams to improve operational efficiency.
- Supports feature flags across the organisation for over 40 PFs and global releases with 0 major issues.
Apr 2023 - Mar 2024
Uniqlo/GU Smartphone Apps Development Lead
Fast Retailing Group (Uniqlo, GU, PLST) · Tokyo, Japan
- Led development of Uniqlo/GU smartphone apps across iOS and Android platforms.
- Coordinated closely with stakeholders, product managers, PM, QA, and operation teams.
- Served as the primary troubleshooting contact for the apps.
- Worked with iOS and Android engineers and provided technical support when needed.
Apr 2022 - Mar 2023
Senior iOS Engineer, Uniqlo iOS Apps Japan and All Regions
Fast Retailing Group (Uniqlo, GU, PLST) · Tokyo, Japan
- Developed and distributed iOS apps and functionality to Japan and other regions, including US and ASEAN.
- Worked with stakeholders to convert ideas into user stories.
- Communicated with the development team to create tangible products.
Jan 2020 - Mar 2022
Moneytree Professional Services iOS Projects
Moneytree K.K. · Tokyo, Japan
- Led architecture and delivery of Mable, MUFG's financial asset management app.
- Sustained a 4.5-star App Store rating since August 2020.
- Gathered business requirements and worked with product teams to turn them into developer requirements.
- Delivered a new version of the application in every sprint.
Jun 2017 - Dec 2019
Moneytree iOS App and MTLink iOS SDK
Moneytree K.K. · Tokyo, Japan
- Worked on Apple Editors' Choice Moneytree iOS app.
- Supported rapid adoption of latest technologies and biometric authentication.
- Owned MTLink SDK delivery for Moneytree clients, including banks such as Mizuho and MUFG.
Sep 2015 - Jun 2017
Senior Mobile Engineer
Origami Inc. · Tokyo, Japan
- Prototyped QR code payment in week 1, which became Origami Pay's primary payment technology.
- 99%+ of users chose QR over manual input.
- Worked on Japan's first mobile payment market app and Apple Editors' Choice product.
- Prototyped Origami Beacon Pay and built shopping cart, A/B testing, and gradual rollouts.
Jan 2011 - Aug 2015
Mobile Engineer / Backend Engineer
Rakuten Group Inc. · Tokyo, Japan
- Worked on Ichiba e-commerce apps, Gateway app, and Shashinkan Photo Services app.
- Developed and managed internal libraries shared between iOS apps.
- Managed Gerrit code review server for clean Git history.
- Designed a centralized push notification system and developed Rakuten Photo Services backend and frontend systems.
Education and tools
IIT Delhi algorithms background with program, project, web, backend, and mobile tools.
Education
Master of Technology in Computer Applications, major in Algorithms, IIT Delhi, 2008 - 2010. Bachelor of Science and Technology, Computer Science & Engineering, IEC-CET Greater Noida, 2004 - 2008.
Program and project tools
Gantt Chart, Google tools, Microsoft tools, Apple tools, Sheets, Keynote, PowerPoint, Scrum, Agile, Waterfall, Jira, Confluence.
Web, backend, and APIs
JavaScript, JSON/XML, REST API, MySQL, PHP, Zend, Facebook Graph API, Perlbal, Cronjob, i18n, Apache, Git, SVN, Bitbucket, Github.
iOS and mobile
Objective-C, Swift, RxSwift, RxCocoa, SpriteKit, CocoaPod, CoreData, UIKit, iBeacon, Bluetooth Low Energy, UI/UX, XCTest, Xcode, VIPER, MVVM.
Debugging and delivery
LLVM, LLDB, Firebug, Postman, Charles, Mogenerator, Framework, Library, HockeyApp, TestFlight, iTunes Connect.
Languages and patent
Japanese language - business level. Japan Patent - algorithm for automatic layout of photos in a photo book, granted by Japan Patent Office.
Source resume
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