Deep dive into Scalable Data Pipelines in Production
How to build resilient, high-throughput data pipelines that survive real-world traffic spikes and node failures.
Building a Sliding Window Attention Inference Engine with Compressed KV Cache in Pure Python
This post walks through building a sliding window attention inference engine with a compressed KV cache in pure Python, providing runnable code and architectural insights for a standout portfolio project.
From-Scratch Logits Processor and Sampler: Temperature, Top‑k, Top‑p, and Min‑p Decoding in Pure Python
A minimal, pure‑Python implementation of temperature‑scaled, top‑k, top‑p and min‑p token sampling, ready to run, test, and extend for your portfolio.
Hands‑On: Build a Production‑Grade Metrics Pipeline with Go, Prometheus & Grafana
A step‑by‑step guide to building a personal metrics pipeline that collects, stores, and visualizes system metrics using Go, Prometheus, and Grafana.
Building a Pure-Python MoE Router with Noisy Top-K Gating and Load Balancing
A practical portfolio project: implement a MoE router from scratch in pure Python, featuring noisy top-k gating, load balancing loss, and expert assignment for transformer models.