Kevin Pham — AI Implementation & Workflow Automation Portfolio

Selected work

Three examples of my work: a shipped product, an AI workflow automation prototype, and a product feedback assistant prototype.

Live product

Plendy — location-based experience app

Founder and solo builder of a live App Store app that helps people save, organize, and share location-based experiences.

FlutterFirebaseMaps/PlacesPostHogAI-assisted development

Handled product strategy, UX, implementation, testing, release, and early growth experiments.
Built authentication, saved experiences, sharing flows, location features, analytics, and discovery links.
Used AI-assisted workflows to prototype, debug, document, and iterate across release workstreams.

Visit site App Store

Portfolio prototype

AI Intake Triage Workflow

A client/service intake workflow that turns messy requests into structured handoffs.

Workflow mappingAI classificationRouting logicOps dashboard

Captures an unstructured request and generates summary, urgency, category, owner, and next action.
Models the handoff between intake, AI triage, ownership, and notification.
Designed to translate into Airtable/Notion + Zapier/Make/n8n + OpenAI/Claude + Slack/Gmail.

Open demo Read case note

Portfolio prototype

AI Product Feedback Assistant

A product operations workflow that turns scattered feedback into themes, drafts, and backlog suggestions.

Product opsFeedback clusteringSupport draftBacklog handoff

Classifies feedback by theme, sentiment, severity, and user intent.
Drafts support responses while keeping a human review step in the loop.
Turns repeated issues into product opportunities and prioritized next actions.

Open demo Read case note

How I work

My strongest lane is practical implementation: understand the workflow, shape the tool, prototype quickly, and help users adopt it.

Workflow-first implementation

I’m most useful where business needs, user behavior, and technical tools meet. The goal is not “add AI.” The goal is a better workflow.

Map the messy processClarify who does what, where handoffs break, and what information is missing.

Design the useful versionDefine the inputs, rules, owner routing, user experience, and success criteria.

Prototype with AI and automation toolsBuild a working version fast enough for users to react to it.

Document, train, and iterateMake the system understandable, maintainable, and adoptable.

Best-fit roles

AI Implementation SpecialistAI adoption, workflow design, enablement, tools.

Workflow Automation SpecialistProcess improvement, routing, dashboards, handoffs.

Technical Implementation SpecialistConfiguration, support, onboarding, user education.

Product Support / Product OpsFeedback loops, QA, documentation, support-to-product translation.

Positioning note: I’m not selling myself as a deep ML engineer. I’m strongest at implementation, translation, prototyping, and adoption.

Product-minded builder with a technical support backbone, product/design instincts, and hands-on AI-assisted development experience.

Background

I’ve worked across technical support, web/product design, startup product building, and AI-assisted software prototyping. At Brown & Streza, I supported legal staff through technical issues, remote support, ticket workflows, and incident recovery. As a freelance web designer and startup co-founder, I translated client and user needs into digital product decisions.

Most recently, I built and launched Plendy, a Flutter/Firebase app with location-based saving, sharing flows, analytics, social attribution, and App Store release work. That experience sharpened the lane I’m pursuing now: AI implementation, workflow automation, and product-minded prototyping.

Let’s make the workflow less painful.

Available for remote roles and Orange County hybrid opportunities in AI implementation, workflow automation, product support, and technical implementation.

Emailphamkevin1992@gmail.com LinkedIn/in/kevinpham1992 Plendyplendy.app