Right now, there’s probably a data scientist waking up to a $3,000 OpenAI bill because a bot found their exposed API key and has been making calls to GPT-4 for 12 hours straight.
When State Space Models Learned to See Globally 👓
Mamba promised linear time complexity. Vision benchmarks said “prove it”, and pure Mamba models fumbled badly. Transformers kept winning until MambaVision showed up and rewrote the rules entirely 🐍👓.
Production ML Patterns & Debugging
Your model works in Jupyter. Congratulations. Now make it handle production traffic without having a melt down 🫠. Learn multi-stage builds, GPU configuration, and systematic debugging.
Managing Data & Multi-Container Environments
Wait, everything disappears when containers stop? Yup. But here’s how to save your models, persist your databases, and run complete data science stacks without losing your mind or your data.
Docker Fundamentals: What Every Data Professional Needs to Know
Before Docker: “Can you send me your requirements.txt?” “Which Python version are you using?” “What’s your CUDA version?”
Thank goodness for Docker!
Is Your Python Code Giving Junior Developer? 5 Tell-Tale Signs (And How to Fix Them)
Hardcoding database passwords is a cannon event for most junior developers. Let’s skip that arc 😉
Serializing Data 101: Apache Avro
Serialized data means less data to transfer = less network latency = responses so fast your manager thinks you cached everything 🤓.
Getting Started with AWS CDK
Would you rather create infrastrucuture using your favorite programming langauge or yaml-engineer a 5000 line CloudFormation template 😂?
Video Teaser for Data Engineering Series
I’m thinking about creating a video series on data engineering topics for individuals who are interested in the backend aspects of data. In recent years, data analysts, data scientists, and machine learning engineers have received the majority of attention, but data engineers play a critical role in a company’s data ecosystem. I hope that even those who are not interested in pursuing a career as a data engineer will find these topics engaging.