A working engineer’s guide to building a mini-GPT training loop from scratch in PyTorch — featuring AMP, gradient accumulation, cosine warmup, weight tying, and AdamW — designed as a CV-grade portfolio piece.
A practical, systems-oriented walkthrough of probability concepts working engineers actually use, anchored in fraud detection, search ranking, and Bayesian A/B testing pipelines.
Cybercabs are not magic. They are a tightly integrated stack of perception, prediction, planning, and fleet operations software wrapped around an electric vehicle. This post walks through each layer with the production systems that ship it today.
Quantization is the single highest-leverage optimization for LLM and vision inference at scale. This post covers the math, the formats, the failure modes, and the patterns shipping teams use to roll out quantized models safely.
Forward Deployed Engineers embed inside customer teams to turn messy enterprise data into shipped AI systems. Here’s how the role emerged, what FDEs actually do, and why it matters now.