The Book — Computer Vision & AI: An Engineer’s Guide — 406 pages · 21 chapters · 7 parts — https://pirahansiah.com/book/

Computer Vision & AI — An Engineer's Guide

A practical reference distilling more than a decade of hands-on work in computer vision, artificial intelligence, and GPU computing into a single book.

406 pages21 chapters7 partsPDF

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## About the Book Written for practicing engineers, researchers, and technical founders, this book brings together the notes, tutorials, and engineering playbooks published across pirahansiah.com — organized from first principles to production systems. Every chapter is self-contained and paired with a mind map that summarizes the key ideas at a glance. ## What's Inside

Part I — Computer Vision: 3D Vision & Multi-Camera Systems, Optical Flow, Real-Time Multi-Camera Systems, and a Computer Vision Coaching Roadmap.

Part II — GPU & CUDA Programming: Numba JIT, PyCUDA kernels, CUDA in VS Code, and Apple Silicon ML (MLX, CoreML & Metal).

Part III — AI & Large Language Models: advanced LLM concepts, orchestrating AI agents, and a local video avatar generator.

Part IV — Optimization & Prompting: CV/DL/ML model optimization and prompt-engineering templates.

Part V — Programming & Tools: a C++ reference, Python configuration, developer tools, and shell & Vim.

Part VI — Business & Career: a startup guide, SEO for LLMs, and top LinkedIn posts.

Part VII — Research & Publications: a portfolio of patents, papers, and products.

## About the Author **Dr. Farshid Pirahansiah** is a computer vision and AI engineer with more than twelve years of experience across research, product development, and entrepreneurship. His work spans 3D vision, multi-camera systems, GPU acceleration, edge AI, and large language models.