Content Hub

Technical articles, tutorials, and deep dives on computer vision, AI, edge deployment, and software engineering.

Computer Vision

• 3D Vision & Multi-Camera Systems — Stereo vision, depth estimation, and synchronized multi-camera pipelines.
• Optical Flow — Dense and sparse optical flow algorithms for motion analysis.
• Multi-Camera Systems — Scaling from 2 to 100+ cameras with GStreamer and GPU acceleration.
• CV Coaching Roadmap — Structured learning path from fundamentals to production systems.
• Computer Vision Overview — CV overview and research.

CUDA & GPU Computing

• Numba JIT Compilation — Accelerate Python loops with just-in-time compilation.
• PyCUDA Kernels — Write custom CUDA kernels from Python.
• CUDA in VS Code — Dev environment setup on Windows.
• MLX, CoreML & Metal — Apple Silicon ML frameworks.

AI & LLMs

• Advanced LLM Concepts — Transformer architecture, attention mechanisms, and scaling laws.
• Orchestrating AI Agents — Multi-agent workflows, tool use, and RAG pipelines.
• Blog: AI & LLMs — RAG vs CAG, multi-agent architectures, AI’s impact.
• Avatar Generator — Local video avatar with Ollama + Wav2Lip.

Optimization

• CV/DL/ML Optimization — Model quantization, pruning, and edge deployment strategies.
• Prompt Engineering — Reusable LLM prompt templates.

Programming

• C++ Quick Reference — Memory (stack/heap), STL, debugging, Linux essentials.
• Python Configuration — ConfigParser, argparse, pydantic, hydra, pybind11, Cython.
• Developer Tools & Setup — Docker, GitHub tricks, CLI tools.
• Shell & Vim Reference — Terminal essentials, vim basics.

Business & Career

• Startup Guide — Edge AI business plans, fundraising in Germany, pitch decks.
• SEO for LLMs — Structured data, AI-friendly content optimization.
• Top LinkedIn Posts — Top posts: camera calibration, C++, robotics.

Resources

• Portfolio & Resources — Patents, books, papers, projects.
• Curated Links — Tools, libraries, and references for CV/AI engineers.