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czephyr/README.md

tldr πŸ“–

Computer Science is super interesting
My dev interests are smooth operations, scaling, observability, System Design and Machine Learning.

  • Studying for my master's degree in Data Science.
  • Working with mostly opensource self-hosted tools
    as R&D DevOps Engineer in the Telecom sector for a non-profit.

What 2024 will bring me (won't accomplish everything probably and its fine!) 🌱

  • Improving at Data Structures and Algorithms
  • Better System Design skills
  • Learning Go [If thats a goals of yours too I suggest starting from learning Go with TDD!] [-]
  • A GCP certification
  • Switching to Pytorch
  • Working with impactful machine learning applications
  • Delve into recommending systems
  • A deeper understanding of GenAI

Some of the stuff I know

A brief list of interesting resources I loved πŸ“š

  • CKA training - Mumshad Mannambeth on Coursera [-] (kindly paid by my company)
  • An introduction to Statistical Learning - Springer [-] (suggested reading from the Statistical Learning exam in my masters)
  • Applied Unsupervised Learning with Python [-] (clustering and dimensionality reduction)
  • A Crash Course in Linux Networking - David Guyton [-] (helped me understand iptables)
  • System Design vol.1 - Alex Xu from ByteByteGo [-] (cool real world system design case studies)
  • ...

It's not like numbers matter

czephyr's WakaTime stats

Pinned

  1. serenade serenade Public

    πŸ₯ Platform for medical IoT data consultation.

    JavaScript

  2. ultrasounds_classification ultrasounds_classification Public

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

    Jupyter Notebook 1

  3. quarkus-RESTapi quarkus-RESTapi Public

    β˜• Quarkus restAPI using Hibernate-panache deployed on GKE

    Java

  4. deploy_ml_hackaton deploy_ml_hackaton Public

    πŸ• Deployment of an animal photos classification CNN model on GCP Cloud Run

    Jupyter Notebook 1

  5. dsereviews dsereviews Public

    πŸŽ“ Webapp for reviewing professors and exams of the master degree.

    Python