// 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.
A stylized illustration of a neural network decoding tokens

From‑Scratch LLM Decoding Engine: Temperature, Top‑k, Top‑p, and Repetition Penalty

Build a compact LLM decoding engine in Python that implements temperature, top‑k, top‑p, and repetition penalty, demonstrating real systems skill for hiring managers.

November 6, 2026 · 6 min · 1220 words · martinuke0
Short description of the cover image subject.

From‑Scratch int4 Weight‑Only Quantizer with Per‑Group Scales and Zero‑Points for LLM Inference

A from‑scratch int4 quantizer in pure Python, demonstrating low‑level LLM optimization skills ready for production.

November 6, 2026 · 7 min · 1297 words · martinuke0
Redis cluster failover diagram

Optimizing Redis Cluster Failover: Hot Key Analytics for Cache Stampede

Discover how hot key analytics can reduce cache stampede during Redis cluster failovers, with practical tuning strategies for production.

November 5, 2026 · 5 min · 886 words · martinuke0
Diagram of a continuous batching LLM serving engine

Continuous Batching LLM Serving Engine in Pure Python

A practical guide to implementing a high‑throughput LLM inference server in pure Python, complete with KV cache management and streaming output.

November 5, 2026 · 8 min · 1527 words · martinuke0
A diagram of a paged attention block table

Build a vLLM-Style PagedAttention Inference Engine in Pure Python

Learn to implement a lightweight paged attention inference engine in Python, showcasing real systems skills for hiring managers.

November 5, 2026 · 8 min · 1700 words · martinuke0
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