
Studium
AI study workspace - upload documents, get contextual Q&A, and auto-generate flashcards powered by vector search.
I build backend systems and applied ML: RAG pipelines, Scopus-indexed research on LLM robustness, and full-stack products. Currently a backend intern at BCA, working on myBCA Bisnis.


Hi, I'm Nico. I build backend systems and applied ML tools, and I care most about shipping them to real users.
I'm a Computer Science student at BINUS University and an Application Developer Intern at BCA in Jakarta. I completed a Spring 2026 exchange at Korea University. My work spans full-stack engineering and applied ML - from AI-powered study tools and LLM benchmarks for low-resource languages, to full-stack apps in production.
I'm most interested in reliable backend systems and applied ML that solves a concrete problem, and I like owning a feature from the data layer to the interface.

AI study workspace - upload documents, get contextual Q&A, and auto-generate flashcards powered by vector search.

AI coaching tool for Balatro - upload screenshots for tactical play advice, joker synergy analysis, and blind survival plans.

Hyperlocal charity logistics platform for Tangerang - connects donors to foundations via geolocation routing.

Evaluation benchmark for LLM robustness under Indonesian code-mixing - blended Indonesian/English with real-world slang and typos.

Full-stack anime recommendation system with a swipe-based interface - ML-powered matching using MyAnimeList data.

Modern Japanese e-commerce storefront with efficient data fetching, cart management, and seamless client-side navigation.





A production postmortem on embeddings, chunking strategies, and the three weeks I spent fighting pgvector index configs - and what building Studium taught me when I had to do it all over again for Balatro Coach.
Fine-tuning IndoBERT for aspect-sentiment analysis on 4,506 disaster tweets - uncovering how public sentiment toward Indonesian crises shifts over time, and what that tells authorities about unmet needs.
Email is the fastest way to reach me. I'm interested in backend and ML engineering work, and open to research collaborations.