About Jae's Tech Blog

Welcome to my technical blog where I dive deep into the world of software engineering, with a special focus on high-performance computing and simulation systems.

My Expertise

I'm a Python Discrete Event Simulation (DES) Core Engine Developer with extensive experience in building large-scale simulation systems. My work involves:

Performance Optimization: Creating simulation engines that handle millions of entities with sub-millisecond latency
Distributed Systems: Building cloud-scale simulations using MPI, Ray, and ZeroMQ
Low-Level Optimization: Developing CPython extensions and leveraging JIT compilers for critical performance paths
Algorithm Design: Implementing advanced scheduling algorithms like Calendar Queue and Splay Trees

What You'll Find Here

This blog features deep technical content including:

Simulation Engineering: Advanced techniques for discrete event simulation
Python Internals: Deep dives into CPython, asyncio, and memory management
Performance Analysis: Profiling, benchmarking, and optimization strategies
Distributed Computing: Scaling simulations across multiple nodes and clusters
Systems Programming: Low-level optimizations and C extensions

Technical Philosophy

I believe in:
- Data-driven optimization: Never optimize without measuring
- Understanding fundamentals: Knowing how things work under the hood
- Practical engineering: Building systems that solve real problems
- Knowledge sharing: Contributing back to the community

Technologies

My primary stack includes:
- Languages: Python, C/C++, Cython
- Frameworks: NumPy, Ray, MPI, JAX, Numba
- Tools: Linux, Git, Docker, Kubernetes
- Specialties: Event-driven architectures, parallel computing, memory optimization

Connect

Feel free to reach out for collaborations on simulation projects or performance optimization challenges.