Mirangga
Jakti.
I design and build software systems using Python, from backend services and automation tools to data-driven applications. I focus on clean architecture, reliability, and scalable engineering, while integrating AI and machine learning where they genuinely add value.
Mirangga (Rangga) Jakti
Python Software Engineer
“Engineering software that lasts.”
About Me
I'm a Python software engineer from Indonesia, focused on building systems that work reliably: backend services, automation tools, and data-driven applications. My focus sits at the intersection of clean architecture, practical engineering, and applying AI and machine learning where they genuinely add value.
I've been building in public, shipping backend systems, security tools, monitoring systems, automation, AI tooling, and machine learning projects across different domains. I care as much about how a system is built (its architecture, trade-offs, and reliability) as whether it works.
I'm self-taught and driven by curiosity. Every project is a chance to go deeper: whether that's designing a cleaner API, automating a tedious process, hardening a system's security, or applying machine learning to a real problem. I build with intention, and I ship.
Technologies & Tools
const mirangga = {
name: "Mirangga Jakti",
location: "Indonesia 🇮🇩",
focus: "Python Software Engineering",
coreStack: [
"Python",
"Flask",
"FastAPI",
"PostgreSQL",
],
remote: true,
building: "systems that hold up"
}
// open to global opportunities
What I've Built
A mix of backend systems, automation tools, and machine learning projects, built to solve real problems.
Secure Log SIEM
A backend security event pipeline, not a CRUD app. It ingests security events through a REST API and runs two detection layers: a real-time Rule Engine for known patterns, and IsolationForest for batch anomaly detection. Secured with JWT and API-key authentication, with alert management built around a production-style detection architecture. Receives events from the Windows Security Monitoring Tool, forming a two-project detection pipeline.
Windows Security Monitoring Tool
A native Windows security monitoring platform built entirely in Python, with real-time detection across 8 modules (process, login, file integrity, network, registry, USB, startup persistence), with alerts enriched using MITRE ATT&CK mapping. Feeds detected events into Secure Log SIEM, where they're processed by a real-time rule engine and batch anomaly detection.
Server Health Monitor API
A FastAPI backend that collects real-time server metrics, visualizes them on a live dashboard, and triggers Telegram alerts on threshold breaches. Uses APScheduler for scheduled metric collection and ships as a Dockerized deployment, built to run unattended in production.
MCP Weather Server
An MCP (Model Context Protocol) server that exposes live weather data as a callable tool for AI assistants. Built with FastMCP and Pydantic for typed, validated tool schemas, containerized with Docker, and shipped with GitHub Actions CI/CD. AI applied as tooling, not as the core identity.
TrendPulse AI
AI-powered market trend analysis platform that aggregates real-time signals from Google Trends and live news, then generates deep strategic insights using LLaMA via Groq API, with time-series forecasting powered by Prophet.
VentureLens AI
AI startup idea validator that generates comprehensive market analysis in seconds. Built for founders and indie hackers who need fast, data-driven validation before committing to an idea.
Most ML projects are kept private. Click “Private Project” to request access.
Credit Risk Classification
PrivateMachine learning model to predict loan default risk. Features comprehensive feature engineering, model evaluation pipeline, and explainability reports for financial decision-making.
This project is private. Details available upon request.
Stock Price Prediction
PrivateTime-series forecasting model for stock price prediction. Applies advanced predictive analytics with temporal pattern recognition to forecast market movements.
This project is private. Details available upon request.
Malware Detection
PrivateML-based malware classification system for cybersecurity threat analysis. Classifies binary samples using behavioral and static feature extraction.
This project is private. Details available upon request.
Sales Analysis & Prediction
PrivateData-driven sales forecasting model combining historical trend analysis with ML prediction. Helps businesses anticipate demand and optimize inventory.
This project is private. Details available upon request.
More projects on GitHub
Continuously building and experimenting. See the latest public work.
Where I've Worked
IT Support / Automation Developer
@ Capital College IndonesiaMarch 2026 - Present
Beyond day-to-day IT support, I designed and built internal automation workflows using Google Apps Script to collect and process production data from company servers. I developed interactive dashboards to visualize video production metrics and operational performance, automating data extraction, transformation, and reporting to reduce manual effort and support real-time decision-making. I also maintained IT infrastructure and troubleshot hardware, software, and network issues to keep operations running smoothly.
Python Software Engineer
@ Independent Builder2023 - Present
Self-directed journey building software systems in Python: backend services, automation tools, and machine learning projects. AI and machine learning are part of the toolkit, applied where they add real value, not the focus of the work.
Python & Machine Learning Foundations
@ Self-Learning & Projects2022 - 2023
Intensive learning phase covering Python, machine learning fundamentals, and web development, building 15+ projects spanning ML models, data analysis, and web apps to develop a strong technical foundation.
March 2026 - Present
IT Support / Automation Developer
Capital College Indonesia
Beyond day-to-day IT support, I designed and built internal automation workflows using Google Apps Script to collect and process production data from company servers. I developed interactive dashboards to visualize video production metrics and operational performance, automating data extraction, transformation, and reporting to reduce manual effort and support real-time decision-making. I also maintained IT infrastructure and troubleshot hardware, software, and network issues to keep operations running smoothly.
2023 - Present
Python Software Engineer
Independent Builder
Self-directed journey building software systems in Python: backend services, automation tools, and machine learning projects. AI and machine learning are part of the toolkit, applied where they add real value, not the focus of the work.
2022 - 2023
Python & Machine Learning Foundations
Self-Learning & Projects
Intensive learning phase covering Python, machine learning fundamentals, and web development, building 15+ projects spanning ML models, data analysis, and web apps to develop a strong technical foundation.
Get In Touch
Let's build something remarkable together.
Whether you have a project in mind, want to discuss a role, or just want to say hi — my inbox is always open. I'll get back to you within 24 hours.