Fernando's AI Engineering Desk
identity.session
fernando@desk:~$ whoami

Fernando Lin builds intelligent software systems.

I design and ship AI-powered applications by connecting language models, retrieval systems, backend services, and intuitive user experiences.

AI Systems
Software Engineering
Indonesia
profile.scanonline
Fernando Lin
Fernando Lin
AI Engineer / Software Engineer
focus
AI-Powered Products
stack
Next + FastAPI + AI Systems
signal
Ideas to Products
status
Building Systems

Operator Profile

My name is Fernando Lin. I build software products powered by modern web technologies and AI, transforming complex ideas into practical solutions through intelligent workflows, scalable systems, and user-centered experiences. From intuitive interfaces to AI-powered backend systems, I focus on turning concepts into production-ready applications that solve real-world problems

Retrieve knowledge ยท Orchestrate workflows ยท Deliver outcomes

Software Engineer

Designs and builds scalable software systems, APIs, and applications with a focus on performance, reliability, and great user experiences.

AI Engineer

Builds intelligent applications powered by LLMs, retrieval systems, and AI workflows that solve real business problems.

Systems Builder

Combines software engineering, automation, and cloud infrastructure to transform ideas into reliable production systems.

AI Build Pipeline

The tools I use are organized by how I turn an idea into a working product.

Reason

01
Structured OutputTool CallingMemoryPrompt Engineering

Retrieve

02
QdrantOpenAI EmbeddingsLlamaIndexpgvector

Orchestrate

03
LangGraphLangChainMCPState Management

Serve

04
FastAPIPythonPostgreSQLRedis

Interface

05
Next.jsReactLaravelTypeScriptTailwindCSS

Deploy

06
DockerGitHub ActionsAWSGCP

Evaluate

07
RagasDeepEvalLangSmithPytest

Observe

08
LangFuseOpenTelemetryGrafanaPrometheus
current operating range

Turning AI capabilities into usable products

My expertise lies in software engineering for AI-powered systems, especially applications that combine LLMs, knowledge retrieval, automation, and intuitive user experiences.

Project Case Files

Each case shows what changed: before, what I built, and the impact after.

PlateIQ
Case 01
ai

PlateIQ

Preview
before

Manual calorie tracking forced users to search foods, estimate portions, and type every meal.

built

Next.js, React, TailwindCSS, computer vision, Supabase-backed meal records, and Langfuse for LLM observability, tracing, and analytics.

after

Photo recognition reduced logging time by 80% by turning meal pictures into calorie insights.

An AI calorie tracker that estimates meal nutrition from food photos.

Next
React
TailwindCSS
Computer Vision
Supabase
LangFuse
Dlizbox Restaurant Website
Case 02
web

Dlizbox Restaurant Website

Preview
before

The business needed a better way to showcase its products and marketing campaigns beyond social media.

built

Built with Next.js, React, Tailwind CSS, and Framer Motion, emphasizing product presentation, promotional content, and mobile responsiveness.

after

Improved product visibility and provided customers with a centralized destination for menus, promotions, and brand information.

A promotional restaurant website highlighting Dlizbox's products, promotions, and brand identity.

Next
React
TailwindCSS
Framer Motion
Personal Portfolio Website
Case 03
web

Personal Portfolio Website

before

Project work was scattered across repos without a clear story or hiring-focused path.

built

Next.js interface with motion, responsive sections, and curated project data.

after

Visitors now get one focused path through my AI, data, and software engineering work.

Designed a portfolio that presents my AI engineering process, project case studies, and technical capabilities through a product-oriented narrative.

Next
React
TailwindCSS
Framer Motion
Heart Disease Risk Prediction
Case 04
exp

Heart Disease Risk Prediction

Repository
before

Risk prediction lived as raw model output without an approachable workflow for users.

built

Flask app, neural network inference, SHAP explainability, and tabular data processing.

after

Patient inputs became readable risk signals with SHAP context for easier interpretation.

This project is a web-based application designed to predict the risk of heart disease using a neural network model.

NLP
Python
TensorFlow
Flask
Keras
SHAP
Pandas
CircuitDesk AI
Case 05
ai

CircuitDesk AI

Preview
before

Support operators had to jump between product knowledge, policy, and customer context.

built

LLM workflow, RAG-style product knowledge, analytics surfaces, and a Next.js workspace.

after

Operators can answer faster from one AI workspace connected to knowledge and policy.

CircuitDesk combines AI assistance, structured product knowledge, customer support policy, and operator analytics in one polished workspace.

FastAPI
LLM
RAG
LangFuse
Next
React
TailwindCSS
Framer Motion
Mobilan Car Rental Website
Case 06
web

Mobilan Car Rental Website

Repository
before

Rental details were hard to browse without a structured vehicle and pricing experience.

built

Laravel, Blade templates, SCSS styling, and JavaScript interactions.

after

Customers can review vehicles, compare pricing, and move toward booking in one flow.

A car rental website that provides information about cars, courses, pricing, and booking options.

Laravel
SCSS
PHP
Blade
Javascript
Izakaya Suki Restaurant Website
Case 07
web

Izakaya Suki Restaurant Website

Preview
before

The food brand needed a clearer way to present products beyond static listings.

built

Next.js, React, TailwindCSS, and polished motion for menu and product discovery.

after

The brand gained a deployed product showcase with faster menu and product discovery.

Restaurant website that sells Izakaya Suki's products.

Next
React
TailwindCSS
Framer Motion

GitHub Activity

A live contribution signal from my GitHub profile.

github.signal
Fernando-Lin contribution feed
syncing 2026 contribution matrix
Fetching GitHub signal
contributions
active days
longest streak
public repos
scanning year 2026
Mon
Wed
Fri
lessmore

Let's Build Something Together

Whether you're looking to build custom software, integrate AI into your business, explore a partnership, or simply start a conversation, I'd love to hear about your ideas.

CONTACT.STATUS

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Email

info@fernando-lin.dev

Usually replies within 24 hours.

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Phone

+62 811222877

Available by appointment.

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Location

Indonesia (GMT+7)

Working remotely worldwide.

Status

Accepting new projects

Preferred Contact

Email

How can I help you today?

Select an option to begin customizing your inquiry

๐Ÿ’ป

Custom Software Development

Build SaaS platforms, dashboards, ERP systems, internal tools, business applications, and modern web experiences.

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AI Solutions

AI chatbots, AI agents, workflow automation, knowledge assistants, computer vision, and intelligent business solutions.

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Partnership

Product collaboration, startups, technical partnerships, or long-term opportunities.

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General Inquiry

Questions, feedback, speaking opportunities, or anything else.