// TODO: I’m martinuke0

Welcome to my corner of the internet. This website is a personal blog which I use as a platform to document my learning journey and showcase it for the world to see.
Abstract diagram of a JIT compiler pipeline turning WebAssembly into machine code.

Inside Cranelift: How a Baseline JIT Compiler Optimizes WebAssembly for Production Workloads

Cranelift is the baseline JIT that powers Wasmtime and Fastly’s edge platform. Here is how it compiles WebAssembly quickly, what optimizations matter at the baseline tier, and where it fits next to LLVM and TurboFan.

September 5, 2026 · 11 min · 2211 words · martinuke0
Diagram of a GGUF file being parsed into numpy tensors with dequantization steps.

Building a GGUF Parser and Dequantizer From Scratch: A Portfolio Project That Signals Real Systems Skill

Parse GGUF, dequantize Q4_0 and Q8_0 tensors, and load Llama weights into numpy. A hands-on guide to a side project that demonstrates real systems engineering on a CV.

September 5, 2026 · 14 min · 2871 words · martinuke0
Diagram of a draft model proposing tokens and a target LLM verifying them in a speculative decoding loop.

Build a Speculative Decoding Sampler: A CV-Worthy Side Project

A complete, runnable Python project that pairs a draft n-gram model with a target LLM to verify multiple tokens per forward pass, plus a roadmap for turning it into production-flavored work.

September 5, 2026 · 12 min · 2509 words · martinuke0
Stylized illustration of streaming partitions and a Raft consensus diagram.

Inside Redpanda: How a Kafka-Compatible Engine Replaces ZooKeeper for Streaming

A deep dive into Redpanda’s C++ core, the Raft-based controller quorum that replaces ZooKeeper, and what tradeoffs come with deleting a coordination service from your streaming stack.

September 5, 2026 · 11 min · 2226 words · martinuke0
Code editor showing a Python implementation of flash attention with tiling and online softmax in NumPy.

Building Flash Attention from Scratch in Pure NumPy: A CV-Worthy Systems Project

Build flash attention from scratch in pure NumPy using tiling and the online softmax trick, then extend it toward production. A deep, runnable project that signals real systems engineering to hiring managers.

September 4, 2026 · 14 min · 2834 words · martinuke0
Feedback