Jiilan Nashrulloh Tanjung

Software Engineer,
Physicist & Researcher

I operate at the boundary where theoretical physics meets systems engineering. Most of my work involves problems where the abstraction layers are leaking — where you need to understand both the mathematics and the metal to make progress.

Jiilan Nashrulloh Tanjung
5+ YEARS ENGINEERING
3 PUBLISHED PAPERS
2 RESEARCH DOMAINS
10+ OPEN SOURCE PROJECTS
01

Systems Engineering

Distributed systems, fault tolerance, and infrastructure where correctness is a hard constraint, not an aspiration.

02

Computational Physics

Quantum error correction, simulation methods, and the computational complexity of physical systems.

03

Research & Theory

Information theory, compiler correctness, and mathematical foundations of machine learning.

"I think about invariants before implementations and entropy before optimization. I write software the way I write proofs: with the failure modes stated up front."

Languages

Python TypeScript Rust C++ Go Julia

Frameworks & Runtime

Node.js Astro React Next.js FastAPI

Infrastructure

Docker Kubernetes PostgreSQL Redis gRPC

Research & Scientific

NumPy JAX Qiskit LaTeX MATLAB
2025

Published first paper on quantum error correction complexity

arXiv preprint — Quantum Computing

2024

Built fault-tolerant distributed compute engine

Open-sourced on GitHub — formal correctness guarantees at scale

2024

Presented at Workshop on Principles of Distributed Systems

Consistency Envelopes — a framework for honest distributed guarantees

2023

Started quantum computing research program

Transitioned from pure systems engineering to computational physics

2020

First production distributed system shipped

Infrastructure serving millions of requests with formal correctness properties

Are you available for freelance or consulting work?

It depends on the project. I take on select consulting engagements in distributed systems, computational physics, and research-heavy engineering. Reach out via email and describe what you're working on.

What's your background — physics or engineering?

Both. I was trained in physics and drawn to engineering. The combination means I think about invariants before implementations. I approach software problems with a physicist's rigor and an engineer's pragmatism.

Do you collaborate on research?

Yes — particularly in quantum error correction, distributed systems theory, and the computational foundations of machine learning. If you're working on something in these areas, I'd like to hear about it.

What tools and languages do you prefer?

Depends on the problem. Python and Julia for research and prototyping. Rust and Go for systems work. TypeScript for web tooling. I don't have loyalty to tools — I have loyalty to correctness.

Can I use your writing or cite your work?

Published papers follow standard academic citation norms. Blog posts and technical writing on this site can be referenced with attribution. If in doubt, send me a message.

Investigating fault-tolerant quantum computing architectures. Building infrastructure that treats correctness as a non-negotiable constraint.