AI Workflow Design
Practical AI systems for product discovery, requirement shaping, proposal drafting, specification writing, QA preparation, and delivery documentation.
AI-Integrated Product Leader•Technical Product Ownership•Platform Strategy
I turn complex business needs into AI-integrated products that ship.
14+ years across software engineering, system architecture, product ownership, fintech KYC, digital platforms, and AI-assisted delivery operations.
14+years from engineering and architecture to senior product ownership
AIworkflows across research, proposals, specs, QA, documentation, and project memory
KYCregulated fintech delivery with compliance, analytics, UAT, and go-live discipline
What I do
AI-enabled product judgment for complex systems.
Technical Product Ownership
API-aware user stories, acceptance criteria, architecture constraints, system trade-offs, and delivery-ready product decisions.
AI-Assisted Delivery Ops
LLM workflows, automation, project memory, meeting synthesis, and reusable team operating patterns that reduce delivery drag.
Regulated Platform Delivery
KYC, onboarding, PDPA-aware flows, analytics, UAT, stakeholder alignment, and go-live coordination for complex digital products.
Selected proof
Work signals
Client-sensitive details stay anonymized while showing how I apply AI, product judgment, and technical depth to work that needs to ship.
AI Operations
Product delivery with AI built into the workflow
Introduced AI-assisted workflows for proposals, product specs, documentation, QA support, meeting synthesis, and project memory so teams move faster with clearer context.
Fintech / KYC
Regulated flows that still ship
Led functional product design for KYC and onboarding flows where compliance, completion rate, analytics, UAT, and release timing all had to move together.
Platform / Growth
Digital platforms with business impact
Shaped landing pages, microsites, A/B tests, vendor evaluation, analytics, CMS, automation, and conversion-focused roadmaps.
Method
Business clarity, technical depth, delivery discipline.
Operational Weight
I work best where product decisions carry real business and technical consequences: regulated flows, AI-enabled operations, platform trade-offs, stakeholder alignment, and systems that must keep working after launch.
Technical Translation
My engineering and architecture background helps me turn ambiguity into API-aware requirements, AI-assisted workflows, testable acceptance criteria, and realistic release plans.
Experience snapshot
Built from both sides.
I bring a hybrid AI, product, and engineering perspective to delivery.
Having started as a software engineer and system architect, I understand what it takes to build robust systems. Today, I use that technical foundation to connect complex business needs, engineering execution, and practical AI workflows.
Own product delivery from discovery and solution design to backlog, sprint delivery, UAT, and go-live. Introduced AI-powered workflows for proposal drafting, specification writing, documentation, QA preparation, meeting synthesis, and project knowledge management.
Led functional product design for KYC verification flows across design, engineering, analytics, and compliance. Defined KPIs, sprint scope, user research inputs, dashboards, and release priorities around regulated delivery goals.
Managed landing pages, campaign microsites, conversion funnels, A/B testing, vendor evaluation, analytics, CMS, automation tools, and digital platform roadmaps aligned with business goals.
Built full-stack systems, APIs, server deployments, Asterisk call center integrations, and backend foundations that now inform technical product decisions, system trade-offs, and AI workflow design.