Muhammad Rahardian Baihaqi — Full Stack, Mobile & AI Engineer

Quick overview

At a Glance

Focus

Full stack web, mobile apps, and AI integration.

Stack

Flutter • React • FastAPI • PostgreSQL

Based in

Bandung, Indonesia Remote-friendly

Status

Open for internship, freelance, and research projects.

Real Projects

Selected work

Real, Shipped Products

MuterBandungIslamic KidsCocoa AI

About

About Me

Full Stack, Mobile, and AI Engineer with experience building scalable systems using Node.js and PostgreSQL. I develop secure RESTful APIs, responsive frontends, and production-ready mobile apps with Flutter and Android, and I build AI models and Retrieval-Augmented Generation (RAG) pipelines.

I work across frontend, backend, mobile, and AI — building solutions that are efficient, high-performance, and maintainable. I'm experienced with containerized deployments, state management, and CI/CD to ship production-ready software.

Skills

Technical Skills

Languages

Dart
Kotlin
Python
Golang
JavaScript
TypeScript

Mobile & Frontend

Flutter
React Native
React
Clean Architecture

AI & ML

TensorFlow
Machine Learning
RAG
Prompt Engineering

Backend & APIs

FastAPI
Express.js
Node.js
REST API
MQTT

Databases

PostgreSQL
Oracle Database

DevOps & Tools

Git
CI/CD
Docker
Postman
Linux Server
SSH
Payment Gateway

Languages

Dart
Kotlin
Python
Golang
JavaScript
TypeScript

Mobile & Frontend

Flutter
React Native
React
Clean Architecture

AI & ML

TensorFlow
Machine Learning
RAG
Prompt Engineering

Backend & APIs

FastAPI
Express.js
Node.js
REST API
MQTT

Databases

PostgreSQL
Oracle Database

DevOps & Tools

Git
CI/CD
Docker
Postman
Linux Server
SSH
Payment Gateway

Projects

Selected Projects

AI Recommendation, Best Capstone Case study

MuterBandung

An AI-powered interactive travel recommendation platform for smart tourism. Built an NLP-based recommendation engine optimized with pre-trained LLMs. Awarded Best Capstone with a score of 95.

Next.js
FastAPI
Flask
PostgreSQL
LLM

GitHub

Android, Published on Play Store Case study

Islamic Kids

A native Android educational app for children with a child-friendly UI, intuitive navigation, and interactive Lottie animations. Published to the Google Play Store with full release management.

Kotlin
Retrofit
Room
Lottie

GitHub

AI Integration, IoT Case study

Cocoa AI Classification & RAG

Machine learning models for cocoa classification and prediction, plus a Retrieval-Augmented Generation pipeline using open-source LLMs. Deployed as FastAPI services integrated with IoT devices.

Python
FastAPI
TensorFlow
RAG
IoT

GitHub

Research, Edge Deployment Case study

Deepfake Detection Research

A deep learning model for face-swap (deepfake) detection developed during a research internship at Universiti Sains Malaysia. Trained on an NVIDIA A40 GPU with inference tested on Raspberry Pi for edge deployment.

Python
Deep Learning
Computer Vision
Edge AI

GitHub

AI Recommendation, Best Capstone Case study

MuterBandung

An AI-powered interactive travel recommendation platform for smart tourism. Built an NLP-based recommendation engine optimized with pre-trained LLMs. Awarded Best Capstone with a score of 95.

Next.js
FastAPI
Flask
PostgreSQL
LLM

GitHub

Android, Published on Play Store Case study

Islamic Kids

A native Android educational app for children with a child-friendly UI, intuitive navigation, and interactive Lottie animations. Published to the Google Play Store with full release management.

Kotlin
Retrofit
Room
Lottie

GitHub

AI Integration, IoT Case study

Cocoa AI Classification & RAG

Machine learning models for cocoa classification and prediction, plus a Retrieval-Augmented Generation pipeline using open-source LLMs. Deployed as FastAPI services integrated with IoT devices.

Python
FastAPI
TensorFlow
RAG
IoT

GitHub

Research, Edge Deployment Case study

Deepfake Detection Research

A deep learning model for face-swap (deepfake) detection developed during a research internship at Universiti Sains Malaysia. Trained on an NVIDIA A40 GPU with inference tested on Raspberry Pi for edge deployment.

Python
Deep Learning
Computer Vision
Edge AI

GitHub

Experience

Work Experience

May 2026 – Jul 2026

Flutter Mobile Developer — Hablun

Built an internal Flutter app with two user roles covering Profile, Worship, Communication, Donation, and Syirkah modules. Integrated RESTful and public APIs with BLoC state management for a clean, maintainable architecture and a consistent experience across Android and iOS.

Mar 2026 – Jun 2026

Full Stack Developer — PT Makerindo Prima Solusi

Developed full stack web applications with Laravel, Vue.js, and NestJS, and REST APIs with FastAPI consumed across web and mobile. Implemented Redis caching, integrated Xendit payments and Brevo email, managed Linux servers via SSH, containerized apps with Docker, and set up CI/CD with GitHub Actions.

Jan 2026 – Mar 2026

AI Engineer — PT Makerindo Prima Solusi

Built machine learning models for cocoa classification and prediction, and a Retrieval-Augmented Generation (RAG) pipeline using open-source LLMs improved through prompt engineering. Deployed AI models as FastAPI services integrated with IoT devices and consumed by mobile and web teams.

Jan 2026 – Jul 2026

AI Engineer Cohort — Pijak × IBM SkillsBuild

Led a capstone team building "MuterBandung," an AI-powered travel recommendation platform for smart tourism, awarded Best Capstone (score 95). Built an NLP recommendation engine with Flask, backend services with FastAPI, a Next.js frontend, and PostgreSQL, optimized with pre-trained LLMs.

Nov 2025 – Dec 2025

Android Developer — LABKOMIF UIN Bandung

Developed Islamic Kids, a native Android educational app for children using Kotlin with a child-friendly UI and Lottie animations. Consumed RESTful APIs with Retrofit 2 and OkHttp, implemented Room Database for offline access, and published the app to the Google Play Store.

Oct 2025 – Present

Community Operations Administrator — Sabit Community

Managed "Coaching Clinic," an offline and online community program that increased member participation by roughly 70%. Mentored members, served as speaker and facilitator in IT workshops, and curated technology updates to keep the community informed on industry trends.

Jan 2025 – Jun 2025

AI Engineer — Informatics Digital Services

Developed a generative AI chatbot with RAG supporting text-to-text, speech-to-text, and image-to-text using pre-trained LLMs (Gemini, Llama, Grok) optimized through prompt engineering. Built AI automation workflows with n8n and Flowise to automate data entry processes.

Certificates

Open for collaboration, internship opportunities, freelance projects, and research-based development.

Email rahardianbaihaqi03@gmail.com
GitHub https://github.com/rhrdianbaihaqi
LinkedIn https://linkedin.com/in/rahardianbaihaqi
Website https://rhrdianbaihaqi.my.id

View CV