Hi DEV community! I'm Anish Rane, a mechanical engineer from India who moved into machine learning. I recently finished an MSc in Machine Learning & AI at Liverpool John Moores University.
I started writing because most ML tutorials either drown you in maths or skip the why. I write the guides I wish I'd had when I switched from engineering to AI: plain English, worked examples, and code you can actually run.
What you'll find here
🧠 Machine Learning Basics: linear and logistic regression, regularization, activation functions. Each one is explained from first principles and comes with Python/scikit-learn examples.
🤖 Fine-Tuning LLMs: how to choose a base model, and when to use LoRA, QLoRA, prompt-tuning or RLHF, depending on your hardware and data.
⚙️ Powertrain Engineering: how diesel engines and epicyclic gears work, and why duty cycles decide engine life. This is classic mechanical engineering, with a data-driven angle.
Who it's for
- Students and early-career engineers getting into ML
- Mechanical/automotive engineers curious about AI
- Anyone who wants the intuition before the equations
Free tools
I also build free Python and Excel engineering calculators. You can find them, along with every guide, at 👉 mlaiinsightshub.blog.
Let's connect
- 🌐 Portfolio: anishrane-cox.github.io/Portfolio
- 💻 GitHub: github.com/AnishRane-cox
- 🦋 Bluesky: @mlaiinsightshub.bsky.social
New posts go out every Tuesday and Friday. Follow along, and tell me in the comments: what ML or engineering topic should I explain next?
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