Building digital products

Hi,I'mArdhi.

An Informatics student who builds applications, analyzes data, and develops AI-based solutions.

Let's Go Connect!

Let's Go Connect!

Chapter 01 — Approach

ThinkFirst

Every product starts with the problem, not the framework.

Chapter 02 — Approach

BuildDeliberate

Small, considered details carry more weight than volume of code.

Chapter 03 — Approach

ShipHonest

What you see is what runs in production. No demo magic, no fake screenshots.

About / 02

I build interfaces that earn their place on the page.

Ardhi Iwantara Saputra
CurrentlySoftware • Data • AI

I combine software engineering, data, and AI to build practical solutions. Experienced in developing APIs and database-based applications, processing data with Python and SQL, and applying machine learning across various projects.

01
0+
Years coding
02
0+
Projects shipped
03
0
Stack pieces
Services / 03

What I Can Build

I help turn raw data into useful information for teams from managing databases and processing data, to analyzing problems and presenting insights in a clear and actionable way to support decision-making

Data / Analytics

Data Analysis

Exploring datasets, surfacing the patterns that matter, and turning them into decisions a team can act on.

5
PythonPandasNumPySQLJupyter
3
  • Insight reports
  • KPI dashboards
  • ETL pipelines
Data / Charts

Data Visualization

Translating numbers into visual stories — charts, maps, and interactive views that make a dataset legible at a glance.

5
D3.jsChart.jsPlotlyEChartsSVG
3
  • Interactive charts
  • Static infographics
  • Live dashboards
SQL / NoSQL

Database Systems

Designing schemas, writing queries, and keeping the data layer fast as the dataset and the team grow.

5
PostgreSQLSupabaseMongoDBRedisPrisma
3
  • Schema design
  • Query optimization
  • Backups & migrations
01 / 06

Chapter 01 / What I reach for

Tools kept close

Languages, frameworks, and tools I have used in production: at varying depths, in different combinations, in projects that have shipped to real users.

AI & Machine Learning07
TensorFlowPyTorchScikit-learnOpenCVECAPA-TDNNRAGLLM
Data Science03
PandasNumPyLibrosa
TensorFlowPyTorchScikit-learnOpenCVECAPA-TDNNRAGLLMPandasNumPyLibrosaTensorFlowPyTorchScikit-learnOpenCVECAPA-TDNNRAGLLMPandasNumPyLibrosa

Chapter 02 / What I've earned

Proof, not promises

Courses, certifications, and recognitions that sharpened the craft. Each one represents a real commitment of time and a real demonstration of skill.

Badan Nasional Sertifikasi Profesi (BNSP)
2025 - 2028

Badan Nasional Sertifikasi Profesi (BNSP)

Associate Data Scientist

Competent

Dicoding Indonesia
2023 - 2026

Dicoding Indonesia

Belajar Dasar Structured Query Language (SQL)

Verified · ID-2VX367683XYQ

Anthropic Skilljar
2026

Anthropic Skilljar

AI Fluency: Framework & Foundations

Certificate of Completion

01 / 03

Featured Projects

Malaria Detection
Machine LearningComputer VisionPython

Malaria Detection

A machine learning application that detects malaria from microscopic cell images through feature extraction and predictive modeling.

View Project
Salary Prediction
Machine LearningData ScrapingPython

Salary Prediction

A machine learning project that predicts salary ranges and classifies salary levels using data collected through web scraping.

Contributors
amrina-rossada-16878b25bwiranto%E1%85%A0
View Project
Speech Verification
ECAPA-TDNNDeep LearningSpeech AI

Speech Verification

A multilingual speaker verification system using the ECAPA-TDNN architecture across English, Javanese, and Sundanese.

Contributors
amrina-rossada-16878b25b
View Project
Diabetes Risk Classification
Random ForestMLPLogistic Regression

Diabetes Risk Classification

A machine learning project that compares Logistic Regression, Random Forest, and MLP models for diabetes risk classification.

View Project
Academic Chatbot
RAGLLMNext.js

Academic Chatbot

A RAG-powered academic chatbot that answers questions based on institutional academic documents using Large Language Models.

View Project
Siamese Network for Baby Cry Analysis
Siamese NetworkViT-SPT-LSAMel-Spectrogram

Siamese Network for Baby Cry Analysis

A deep learning research project for detecting similarity patterns in baby cry sounds using a Siamese Network with ViT-SPT-LSA as the backbone and Mel-Spectrogram as the audio representation, using 285 recordings across 5 classes.

View Project

Chapter 02 / Where I've been

How the work has shaped up

  1. April 2025 - August 2025

    Backend Developer

    UPA TIK Kalimantan Institute of Technology

    Developed the backend for a KPI web application using Laravel 11, built over 20 RESTful APIs, documented endpoints with Swagger, and collaborated in an Agile team to deliver a stable, maintainable, and scalable system.

  2. July 2026 - Present

    Part-time Programming Teacher

    Timedoor Academy

    Taught coding to 21+ students, guided structured programming practice, and documented student progress through meeting journals and student reports. Used Notion and AI automation to improve tracking efficiency, with 10+ students achieving good quiz scores.

Have a focused build in mind?

Send the rough idea. I will help turn it into the smallest useful next release.

Email Ardhi