Tough Vikings Take Delayed Icebaths 🧊Understanding the Machine Learning Lifecycle: Training, Validation, Testing, Deployment, and Inference Ever trained a machine learning model and wondered, "Okay… now what?" You import your libraries, 6d ago · 17 min readkelvinintech.hashnode.dev
I Scored a 612 on AWS ML Engineer Associate (Passing is 720). Here's the AI Prep Pipeline I'm Building So It Doesn't Happen Again.I sat MLA-C02 and scored a 612. Passing is 720. On paper, that's a fail. But here's the part I'm actually proud of: I never watched a single minute of the Udemy course that came with my practice questSep 25 · 16 min readkelvinintech.hashnode.dev
The Room You Walk IntoA few weeks ago I taught a prompt engineering workshop to a room of high school students in Kinston, North Carolina. One of them told me AI felt intimidating. Another said he uses it every day but hasJul 12 · 5 min readkelvinintech.hashnode.dev
Hello_LLM: Calling Claude from Python, C#, and R — Why Biotech Engineers Need All ThreeThe Problem You've trained a protein-folding model in Python. The biotech company's lab management system runs on C#. Your statistical validation team works in R. You need to call Claude across all thApr 22 · 6 min readkelvinintech.hashnode.dev
PyTorch Zero to One: Why I Built a CNN from Scratch (and What It Taught Me That Transfer Learning Wouldn't)Part 2 of an ongoing series documenting my hands-on journey into deep learning as a software engineer transitioning into AI Engineering. In Part 1, I broke down tensors, matrix math, and the shape eMar 28 · 6 min readkelvinintech.hashnode.dev