You never stop learning to code. Experimenting with LeetCode and ClaudeCode - revising the landscape of DS&A (again) enough to steer the which, when and what, and validate the how. Eg: I know what a SkipList does, when…
What is the impact on Software Architects ? AI Architecture guidance can be very ivory tower in regards to transformer model internals and ML pipelines, but when it comes to CodeGenAI refinement, you really need to…
From a technical perspective, I do not enjoy RAG prompt engineering. It is so brittle and non-formal, and the barriers of entry are extremely low. There is a complete trifercation of ML: 1. ML Engineers: the high…
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A startup needs to move fast - quick and dirty prototypes in JS / Python turn into MVPs. dynamically typed, low barrier of entry, high velocity. Startups that survive to the point of needing to rewrite for stability and…
just as ML engineers of 5 years ago generally knew nothing about SVMs, Gaussian Mixture Models, MLE vs MAP ... ML engineers of today know little about VAEs, GANs, LSTMs, Reinforcement Learning. Cold topics of yesteryear…
You never stop learning to code. Experimenting with LeetCode and ClaudeCode - revising the landscape of DS&A (again) enough to steer the which, when and what, and validate the how. Eg: I know what a SkipList does, when…
What is the impact on Software Architects ? AI Architecture guidance can be very ivory tower in regards to transformer model internals and ML pipelines, but when it comes to CodeGenAI refinement, you really need to…
From a technical perspective, I do not enjoy RAG prompt engineering. It is so brittle and non-formal, and the barriers of entry are extremely low. There is a complete trifercation of ML: 1. ML Engineers: the high…
[flagged]
A startup needs to move fast - quick and dirty prototypes in JS / Python turn into MVPs. dynamically typed, low barrier of entry, high velocity. Startups that survive to the point of needing to rewrite for stability and…
just as ML engineers of 5 years ago generally knew nothing about SVMs, Gaussian Mixture Models, MLE vs MAP ... ML engineers of today know little about VAEs, GANs, LSTMs, Reinforcement Learning. Cold topics of yesteryear…