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Open to work · Yogyakarta, Indonesia · AI Engineer & Developer

Ferrel Ganendra
Ferrel GanendraCreative developer / product-minded engineer

I turn messy workflows into AI-assisted products people can actually use.

I’m Ferrel — a software engineer focused on commerce systems, AI decision flows, and product interfaces with enough motion to feel alive, not enough to get in the way.

Read case studiesContact me

Narrative

The through-line: product clarity first, technical choices second, visual polish as proof of care.

01 map the user problem02 model the system states03 ship an interface recruiters can understand

Selected work

Case studies, not portfolio thumbnails.

Each module shows the problem, build scope, engineering artifact, and product decision. No stock visuals pretending to be proof.

Case 01 / In Progress

Puthic Sari

Commerce System2026Solo full-stack builder
checkout flowCheckout state map
01Catalogue
02Cart
03Address
04Shipping API
05Payment
06Order status

Commerce flow designed around recoverable states, not a single fragile form submit.

Problem

A bouquet seller needs a web storefront that can turn catalogue browsing into trackable orders without manual WhatsApp back-and-forth.

Built

Product catalogue, cart and checkout flow, payment gateway handoff, shipping-rate checks, order tracking states, and admin-facing order logic.

Outcome

Built as a solo full-stack product slice: customer journey, commerce state, API integrations, and operational order visibility.

Checkout state modelShipping-rate integrationOrder tracking flow

→ Separated catalogue, cart, checkout, and order states so failed payments or shipping checks do not corrupt order history.

→ Designed the flow around real buyer hesitation: browse fast, confirm details late, keep status visible after checkout.

Demo pendingSource pending

Case 02 / Product Build

WorkWave

AI Job Platform2026AI product developer
ai flowAI assist loop
01Intent
02Profile signals
03Role match
04Explanation
05Next action

The interface treats AI as decision support, not decoration.

Problem

Job discovery is noisy; candidates need guided filtering and explainable recommendations instead of another static job board.

Built

LLM-assisted chatbot flows, prediction logic, candidate-facing discovery UI, and product rules that keep AI output understandable.

Outcome

Converted AI from novelty into a guided product flow: ask, filter, explain, then move the candidate toward action.

LLM conversation statesPrediction UXCandidate decision flow

→ Kept AI suggestions explainable with visible reasoning cues instead of black-box “recommended for you” output.

→ Structured chatbot states around candidate intent, not prompt demos: clarify goal, narrow role, compare options.

Demo pendingSource pending

Case 03 / Live

Portfolio System

Interactive Identity2026Designer-developer
system layersPortfolio architecture
01Next app
02Data modules
03Motion layer
04Lenis scroll
05Design tokens
06Static export

The site itself is positioned as a working artifact, not a decorative wrapper.

Problem

A portfolio must prove both engineering clarity and frontend taste within seconds, without becoming an agency clone.

Built

Next.js portfolio system with editorial hierarchy, scroll rhythm, case-study modules, Framer Motion reveals, Lenis smooth scrolling, and accessible motion fallbacks.

Outcome

Created a personal brand surface that prioritizes project proof, recruiter scanning, and memorable motion restrained by performance.

Production build passesResponsive editorial systemReduced-motion support

→ Removed unnecessary WebGL and loader complexity because recruiter clarity mattered more than spectacle.

→ Reframed the page from visual demo into case-study proof: projects first, skill evidence second, contact last.

Live demoSource pending
04Volcanic Risk DashboardResearch DashboardPython, Streamlit, Data Analysis
05Commerce Admin ExperimentsOperations ToolingReact, Supabase, Admin UI
06AI Workflow ExperimentsLLM PrototypesPrompting, Evaluation, Product UX

Capability system

What I can do, tied directly to project evidence.

01

Product Systems

Turning messy business flows into structured product states.

I map catalogue, checkout, candidate journeys, and admin workflows into interfaces that reduce friction instead of hiding it.

EvidencePuthic SariCommerce Admin Experiments
02

AI Experience Design

Using AI where it helps a user decide, not just where it looks futuristic.

I design LLM-assisted flows, prediction cues, and explanation surfaces that make AI output usable and understandable.

EvidenceWorkWaveAI Workflow Experiments
03

Frontend Craft

Building interfaces with rhythm, hierarchy, and performance discipline.

I use Next.js, Tailwind, Framer Motion, and Lenis to create product experiences that feel premium without becoming noisy.

EvidencePortfolio SystemPuthic Sari
04

Data-Literate Execution

Connecting UI decisions to underlying business logic and analysis.

From dashboards to admin states, I care about how data is read, validated, and turned into action for real teams.

EvidenceVolcanic Risk DashboardDeepublish / Importa

Experience

Real business context behind the product work.

Product Developer & Data Analyst

Deepublish · Ecosystem Development

Worked across product development and data analysis to improve ecosystem-facing workflows and internal decision support.

Business System Analyst

Importa · ICT Division

Mapped business requirements into system logic, bridging operational needs with product and technical implementation.

Contact

Need someone who can reason through the product and build the interface?

Emailferrelganendrawork@gmail.com
WhatsApp+62 851 4491 2506
LinkedInlinkedin.com/in/ferrelganendra
GitHubgithub.com/ferrelganendra