ML & data engineer for fintech & capital markets.
I build ML-backed APIs and data workflows for fintech and capital markets. Published researcher on SVM algorithmic trading for Indonesian energy stocks (JPIT, 2026). Shipped a capstone product as PM at Google's Bangkit Academy, taught AI/ML trading to 32 students at UKDW, and independently launched Sahamath — a stock analytics tool for retail IDX investors.
Trained at the intersection of ML, financial data, and product delivery.
I completed my Informatics degree at Universitas Kristen Duta Wacana with credentials from Oracle, Google, IBM, Pearson, and Dicoding — and four semesters as a teaching assistant across AI/ML trading, investment technology, and networking.
As Project Manager on the Bangkit capstone team — six engineers, eight weeks, shipped on Google Cloud Platform — I learned that reliable products come from disciplined decisions under pressure. That same precision is what draws me to fintech: clean data pipelines, ML-assisted decisions for trading and risk, systems engineered to not break.
My undergraduate thesis applied SVM and technical indicators to an algorithmic trading strategy for Indonesian energy sector stocks. The research was accepted for publication in Jurnal Informatika: Jurnal Pengembangan IT (JPIT), Vol. 11(2), 2026.
Looking for
- Backend EngineerFintech · Digital Banking
- Data / ML EngineerRisk · Trading Systems
- Junior AnalystCapital Market · Financial Data
Selected builds across backend, ML, and product systems.
Teaching and building across backend, data, and capital-market technology.
Credentials across cloud, Python, and data systems.
What I reach for without thinking.
Open to fintech and data roles — available June 2026.
Let's build something
that moves money precisely.
Looking for backend, data engineering, or ML roles in fintech, capital markets, or banking technology. Based in Karawang, West Java — open to remote, hybrid, and relocation.