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czephyr/README.md

tldr

Tech is interesting
Currently working in Cloud
My dev interests are smooth operations, scaling, observability, System Design and Machine Learning.

What 2026 will bring me

  • More system design studying
  • More Go [Learning Go with TDD is cool! [-]]
  • More performance observability

A brief list of interesting resources I loved

  • Machine Learning Engineering - Burkov [-] (A general overview of the shape of ML projects)
  • d2l.ai Dive Deep into Deep Learning [-] (Absolutely the best Deep Learning resource out there FWIK)
  • An introduction to Statistical Learning [-] (suggested reading from the Statistical Learning exam in my masters)
  • Applied Unsupervised Learning with Python [-] (clustering and dimensionality reduction)

  • TCP/IP Guide - Kozierok [-] (If only this had been the suggested reading for my networking exam... ç_ç)
  • A Crash Course in Linux Networking - Guyton [-] (Hard to find a structured resource around linux iptables and ip rules)
  • The Linux Programming Interface - Kerrisk [-] (Using linux syscalls)
  • Designing Data-Intensive Applications - Kleppmann [-] (Must read to understand modern databases)
  • Operating Systems: Three easy pieces - Arpaci [-] (The most intuitive and easy to read OS book I've encountered)
  • Systems Performance - Gregg [-] (Linux performance tooling)

  • Principles of Economics - Mankiw [-]

  • ...

Stuff I want to eventually come around to

  • How Linux Works - Brian Ward [-]
  • Site Reliability Engineering: How Google Runs Production Systems [-]
  • Machine Learning System Design - Ali Aminian, Alex Xu from ByteByteGo [-]
  • WYAG: Write yourself a Git - Thibault Polge [-]
  • Kubernetes the Hard way - Kelsey Hightower [-]
  • Programming Kubernetes - Hausenblas, Schimanski [-]
  • Distributed Systems for fun and profit [-]
  • Database Internals - Petrov [-]
  • Building GPT-2 from scratch - Andrej Karpathy [-]
  • The Kubernetes Book - Poulton [-]
  • Let's read the Kubernetes source code - Ants Are Everywhere [-]
  • ...

What I work with

czephyr's WakaTime stats

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  1. serenade serenade Public

    🏥 Platform for medical IoT data consultation.

    JavaScript

  2. kubernetes-the-hard-way kubernetes-the-hard-way Public

    ☸️ Getting to understand Kubernetes, Openstack and Terraform, all at the same time :)

    HCL

  3. ultrasounds_classification ultrasounds_classification Public

    🩻 Design and implementation of a Tensorflow Convolutional Neural Network to classify human joints.

    Jupyter Notebook 1

  4. quarkus-RESTapi quarkus-RESTapi Public

    ☕ Quarkus based restAPI using Hibernate-panache deployed on GKE

    Java

  5. deploy_ml_hackaton deploy_ml_hackaton Public

    🐕 Deployment of an animal photos classification CNN model on GCP Cloud Run

    Jupyter Notebook 1

  6. dsereviews dsereviews Public

    🎓 Webapp for reviewing professors and exams of the master degree.

    Python