AI Product Engineer

Rafi Ubaid Putra

I help founders and teams turn AI ideas into products people can actually use.

I build AI chatbots, copilots, and workflow tools with clear UX, reliable backend systems, and production-minded execution. From conversation design to fullstack delivery, I focus on making complex AI features feel useful, polished, and ready for real users.

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Available for select client collaborations

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Fullstack Developer · AI Product Implementation

2025

Speciality

Best suited for teams that need more than a prototype: clear product thinking, solid fullstack execution, and AI features that can support real workflows, from chatbot experiences to internal copilots and knowledge tools.

Best fit

Founders and teams building AI products

What I build

Chatbots, copilots, and AI-powered product workflows

Based in

Indonesia · remote-ready

About

I build AI products and run a dev studio that ships websites and mobile apps clients actually use.

I’m Rafi Ubaid Putra — a fullstack developer and founder of Weblooka, a web and mobile development studio. I focus on building AI chatbot products and custom digital solutions that feel practical for real users and clear for real business needs.

At Weblooka I help clients go from idea to launched product — landing pages, full web apps, and mobile applications. On the AI side, my work sits between product thinking and technical execution: shaping chat experiences, structuring system behavior, connecting models and backend flows. I use tools like LangChain and Vercel AI SDK when they serve the use case well, but my main focus is always building something useful, dependable, and worth shipping.

AI chatbot platform development

RAG pipelines, OCR capabilities, and long-term memory

Website & mobile app development via Weblooka

What I value

Clear decision-making, dependable delivery, scalable architecture, and interfaces that help users understand what the product is doing without friction.

How I work

I work by translating goals into clear product scope, then building with enough structure that the result feels polished, maintainable, and easier for a client or team to extend over time.

Review selected case studies·Founder · Weblooka

Resume

Experience building AI products, fullstack systems, and delivery workflows meant to be used in real environments.

A concise view of the kind of work I’ve handled, how I contribute, and the areas where I’m most useful to product teams and client engagements.

Experience

2024 - Present

Remote Fullstack Developer

Private Client Engagements

Worked on private client projects focused on AI product implementation, conversational interfaces, and supporting fullstack systems. The work is mostly confidential, but it consistently involved turning early requirements into usable product flows that were clearer to ship, test, and extend.

Built client-facing and internal product features across frontend interfaces, backend workflows, and supporting system logic.
Translated rough ideas and business requirements into structured product scope, clearer user flows, and implementation plans that were easier to execute.
Implemented AI-related capabilities such as conversational UX, retrieval-based workflows, OCR-related flows, and longer-context behavior where the use case required it.
Handled integration work across models, backend services, and application logic with attention to reliability, clarity, and maintainability.
Collaborated remotely in an async environment with a focus on ownership, communication quality, and practical delivery.

2023

UI/UX Designer

Infest ITTP Competition

Built an early foundation in interface design and product thinking, with attention to usability, visual consistency, and turning ideas into clearer digital experiences.

Designed responsive interface concepts and user flows with a focus on clarity and ease of use.
Created wireframes and prototype directions based on user needs and team goals.
Collaborated with the team to shape a more complete product presentation.
Used Figma for wireframing, prototyping, and communicating design decisions.

Education

2023 - Present

Informatics Engineering

Telkom University

Studying software engineering, web development, and artificial intelligence while continuing to build practical products alongside academic work.

GitHub Activity

A public record of disciplined execution across AI product work.

This contribution calendar offers a transparent view into how I work behind the scenes, consistently building, refining, and testing AI chatbot systems, integrations, and product ideas over time.

Live GitHub snapshot

Consistency you can verify

Updated from my GitHub activity, this section highlights the steady engineering practice behind my work, from conversational interfaces and backend architecture to AI integrations and ongoing product exploration.

GitHub account

@Rafi718

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A meaningful portion of my work is delivered inside private client environments, so not every contribution is represented as a public case study. This calendar helps surface the consistency, depth, and ongoing discipline behind the systems I build.

Based on publicly visible GitHub contribution history.

Flagship Platform

Meet IMAGENA

IMAGENA is my flagship AI platform, built for real products — not just demos.

IMAGENA is the clearest expression of how I work: product-first, fullstack, and deeply focused on conversational AI. IMAGENA is a multi-model AI platform built to deliver a sharper conversational experience with stronger product logic and production-ready infrastructure.

Under the surface, it combines modern frontend engineering with backend orchestration, premium access control, document-aware workflows, RAG pipelines, OCR capabilities, long-term memory, usage logic, and admin tooling. It reflects my strongest niche as a fullstack developer who specializes in building AI chatbot platforms with LangChain and the Vercel AI SDK.

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Type

Flagship AI platform

Focus

Conversational UX + orchestration

Stack

Next.js · Bun · Hono · LangChain

Multi-model AIFullstack architecturePremium-ready product

Designed as a real platform business, not a showcase prototype — with user flows, backend systems, payments, RAG pipelines, OCR capabilities, long-term memory, and AI capabilities shaped into one coherent product.

Multi-model AIFullstack architecturePremium-ready product

Multi-model experience

A multi-model product layer designed to let users switch across leading models in one focused interface.

AI orchestration

Built with LangChain, LangGraph, and the Vercel AI SDK to support routing, workflows, and more advanced product logic.

Beyond basic chat

Expanded with RAG pipelines, OCR capabilities, long-term memory, document-aware flows, premium access, usage controls, and specialized product modes.

Projects

Selected work shaped by AI, product thinking, and execution.

A focused selection of projects across AI chatbot experiences, fullstack systems, and product-led engineering, built with an emphasis on clarity, reliability, and real-world usefulness.

This section highlights public projects only. Some client or experimental work is kept private and is not displayed here.

Web

Selected work summary

Sakukuin App

A personal finance mobile app built to help users track spending, income, and savings goals with a simpler and more secure day-to-day experience.

Private deliveryRepo private2+ tech points

FlutterDart

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Product Design & Web

Selected work summary

Donasia

A crowdfunding platform concept built to make online fundraising feel more trustworthy, easier to manage, and smoother for both donors and organizers.

Private deliveryRepo private3+ tech points

Next.jsTypeScriptStripe

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Backend Systems

Client-ready evidence

Rest API

A backend integration layer designed to reduce repetitive setup work and make product development, automation, and service connections easier to ship.

Private deliveryCode available3+ tech points

Express JsNode JsJavaScript

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Code

AI Product

Client-ready evidence

Sansline AI

A web-based AI chatbot product focused on fast conversation flow, clear interface design, and a foundation that can grow into real customer or internal support use cases.

Live demoRepo private4+ tech points

Next.jsTypeScriptSupabaseTailwind CSS

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Live Preview

Contact

Let's talk about the product you're trying to build and where AI can actually make it more useful.

If you're exploring an AI chatbot, internal copilot, knowledge workflow, or a product that needs both technical execution and product thinking, feel free to reach out. A short message is enough — I can help clarify scope, direction, and the best next step from there.

rafiubaidputra@protonmail.com

Location

Indonesia

Socials

GitHub

@rafi718

rafi-ubaid-putra

TikTok

@rafiubaidputra

Start the conversation

Tell me what you're building

You can share the product idea, current bottleneck, workflow you want to improve, or the AI feature you want to explore. If the scope is still rough, that's completely fine.