About me

Principal Software Engineer, Technical Architect, AI-Driven SDLC

Principal Software Engineer and Technical Architect with 15+ years of experience designing, building, and leading delivery of web platforms, from legacy monoliths to cloud-native microservices on AWS and Kubernetes. Has led engineering teams of 5–30 people for clients in Japan, Australia, the US, and the UK, across event management, cloud security, insurance, mobile testing, gaming, and large-scale consumer services. Currently driving AI-assisted SDLC adoption with AI coding agents and agentic workflows, while keeping engineers accountable for quality.

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Services

Technical Architecture

Designing scalable, secure, cloud-native systems: service boundaries, integration contracts, SSO, and event-driven messaging, with a clear path forward from what runs today.

AI-Driven Delivery

Bringing AI coding agents into the SDLC of your team, from pilot to rollout, with repeatable workflows, review guardrails, and engineers accountable for every change.

Legacy Modernization

Moving legacy monoliths forward without breaking existing clients: impact analysis, provider-agnostic abstractions, phased deprecation, and safe migrations.

Full-stack Product Engineering

Building responsive, accessible, and fast web applications end to end, including AI features such as agent-driven recommendations, with solid quality gates.

Cloud & DevOps

Running containerized workloads on cloud platforms with CI/CD, infrastructure as code, and monitoring that cut manual steps and human error.

Technical Leadership & Presales

Leading teams of 5–30 engineers with estimates stakeholders can trust, clear technical proposals, backlog grooming, mentoring, and hiring.

AI-driven SDLC

AI agents do the first draft at every stage. An engineer reviews each one before work moves on, so delivery gets faster and accountability stays with the team.

AI draftsEngineer checks

Requirements

Estimation

Design

Build

Review

Test

Release

Drafts user stories and acceptance criteria from briefs and meeting notes.

Breaks epics into stories and proposes PERT ranges.

Writes the spec, compares approaches, and sketches diagrams.

Implements the plan task by task, test first, using project skills and MCP.

Runs a first-pass PR review for bugs, security, and over-engineering.

Generates unit and end-to-end tests, including edge cases.

Writes PR descriptions, changelogs, and runbooks.

Confirms scope and edge cases with the product owner.

Calibrates the numbers to a P80 confidence level.

Approves the spec before any code is written.

Self-reviews the diff and verifies it locally.

A peer reviewer signs off on the change.

QA verifies the build before merge.

The owner reviews and ships.

1
Requirements
AI drafts
Drafts user stories and acceptance criteria from briefs and meeting notes.
Engineer checks
Confirms scope and edge cases with the product owner.
2
Estimation
AI drafts
Breaks epics into stories and proposes PERT ranges.
Engineer checks
Calibrates the numbers to a P80 confidence level.
3
Design
AI drafts
Writes the spec, compares approaches, and sketches diagrams.
Engineer checks
Approves the spec before any code is written.
4
Build
AI drafts
Implements the plan task by task, test first, using project skills and MCP.
Engineer checks
Self-reviews the diff and verifies it locally.
5
Review
AI drafts
Runs a first-pass PR review for bugs, security, and over-engineering.
Engineer checks
A peer reviewer signs off on the change.
6
Test
AI drafts
Generates unit and end-to-end tests, including edge cases.
Engineer checks
QA verifies the build before merge.
7
Release
AI drafts
Writes PR descriptions, changelogs, and runbooks.
Engineer checks
The owner reviews and ships.

~80–90%

less time drafting user stories

~50–70%

less effort spent on PR review

AI toolbox

Coding assistants

Claude Code
Cursor
GitHub Copilot

Agentic workflows

BMAD-Method
Superpowers
Ponytail
Custom skills & slash commands

Context & automation

MCP servers
trace-mcp
RTK
Claude Code headless
justfile & shell runners

Fun facts

Years in the industry

Largest team led

Countries worked with

Japan, Australia, US, UK, India, Belarus

Coffee consumed

Industries

Event management
Cloud security
Insurance
Mobile testing
Gaming
Consumer services at scale
Ad networks
ERP
Real estate
Streaming data migration

Planning a new platform, a migration, or an AI rollout?

I help teams design the architecture and ship it, with AI in the workflow and engineers accountable for the result.

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