Institutional Full-Stack Web Application
Simantra
Developed backend systems for Fasilkom UI's internship management platform, digitalizing student application, approval, tracking, and administration workflows.
Computer Science / Software Systems
Building useful software with a foundation in AI, data, and product engineering.
I work across backend systems, machine learning workflows, and full-stack products, with experience on institutional software, forecasting models, RAG applications, and speech AI evaluation.
About
I am a Computer Science undergraduate at Universitas Indonesia with experience in software engineering, machine learning, and generative AI.
My work ranges from developing ERP modules in a professional environment to building retrieval-augmented generation applications, speech recognition systems, and deep learning models for forecasting tasks.
I have also worked as a Teaching Assistant for Software Engineering and Database Systems. I enjoy solving problems at the intersection of AI and software engineering.
Skills
A practical stack for building intelligent systems from model experimentation to production-style full-stack applications.
PyTorch, Scikit-learn, LLM applications, RAG, NLP, and forecasting systems.
Relational data modeling, SQL workflows, data processing, and feature engineering.
Full-stack product development with typed, maintainable application architecture.
Featured Projects
Projects are chosen for signal: client work, shipped architecture, applied machine learning, measurable evaluation, and competition results.
Institutional Full-Stack Web Application
Developed backend systems for Fasilkom UI's internship management platform, digitalizing student application, approval, tracking, and administration workflows.
Built a financial assistant that analyzes user transaction histories and generates personalized financial insights using Retrieval-Augmented Generation.
Evaluated techniques to improve Indonesian-English automatic speech recognition quality using Whisper Large-V3 and Qwen 2.5 14B.
Developed deep learning architectures for multi-asset stock return prediction using temporal features and asset metadata.
First-place Pekan Ristek Data Science Competition solution using an ensemble forecasting pipeline and meteorological feature engineering.
Experience
Universitas Indonesia
Guided students in software development, databases, and engineering fundamentals.
PT Fungsitama
Developed ERP modules using modern web technologies and contributed to production software development.