Building tiny engines, exploring big ideas — one line of code at a time.
I'm a math graduate from Institut Teknologi Bandung, where my journey into structured thinking began. With a foundation in mathematics, I naturally gravitated toward programming as a way to model complexity, solve puzzles, and build systems that behave—and scale—with intention.
A lifelong coder with a soft spot for performance, precision, and elegant abstractions. I love diving into low-level details while keeping an eye on the big picture. My curiosity drives me to explore:
Parallel processing, accelerators, memory efficiency (C++, OpenMP, SYCL)
Petri nets as a framework for AI workflows and system design
Building tools that go beyond chat: data storytelling, visual responses, and structured reasoning
Currently tinkering with Rust, Elixir, and Vlang to stretch my mental models
In development. An agentic LLM app that generates rich responses: tables, charts, diagrams + narrative text.
Graph & Typed PetriNet-based modeling framework. A spiritual successor to KnitKnot with deeper formal grounding.
My playground for parallel text processing using C++ and hardware like Xeon Phi, Tesla GPUs, and InfiniBand.
I believe the best way to learn is by doing—and sharing. Recently, I've been leveling up through hands-on courses:
Oak Ridge National Lab (ORNL)
ORNL
ORNL
edX
Udacity
Pirple
Also learning: distributed systems design, agent architectures, and how to make machines "think" more clearly.
If you'd like to talk about open-source, formal modeling, HPC experiments, or just geek out about Rust vs. Go—I'd love to hear from you.
No spam, no recruiters without context—let's keep it human.