A timeline of my professional growth and learning progression. This isn't a resume, it's a story of how I've evolved as an engineer, the pivotal moments that shaped my thinking, and the skills I've developed along the way.
A two-week intensive bootcamp where I built responsive websites using HTML, CSS, and JavaScript. Gained hands-on experience with Git and real-world development workflows.
Skills:
An introduction to MySQL and database fundamentals — CRUD, relationships, and writing meaningful queries. Solidified through hands-on projects as a key step toward data-driven development.
Skills:
Built a full Learning Management System using the MERN stack — covering auth with JWT, CRUD features, file uploads, and payment integration with Midtrans. Learned by building, which made everything click far faster than tutorials alone.
Skills:
Reached top 15 out of 200+ teams in my first hackathon, building SocialCollateral AI in 24 hours as the frontend developer. A microfinance trust assessment system combining graph analytics, NLP, and computer vision — built with React, TypeScript, and integrated with a FastAPI + Gemini backend.
Skills:
Built GlucoCheck to learn how to integrate AI into a real product — a diabetes risk assessment tool powered by AI that delivers personalized results in Bahasa Indonesia. First hands-on experience with AI APIs and prompt engineering.
Skills:
Accepted into Coding Camp 2026 by DBS Foundation on the AI Engineer track — a 4-5 month intensive covering machine learning, deep learning, and MLOps. Currently building toward a production-ready AI capstone.
Skills:
Built Emigria as a Coding Camp 2026 capstone project powered by DBS Foundation. As an AI Engineer, I focused on AI model development for job offer fraud detection, combining structured data extraction, TensorFlow-based classification, PMI-specific red flag analysis, and explainable risk reports.
Skills: