# Sitemap
## Product
- Computer Vision
- AI & LLMs
- CUDA & GPU
## Solution
- Courses
- Business
## Atlas
- Research
- Programming
- Optimization
- Knowledge
Sitemap — All Pages
Product
Computer Vision
- 3D Vision & Multi-Camera — Real-time 3D point cloud generation, depth sensing, multi-camera sync with OpenCV, GStreamer, and C++
- Optical Flow — Challenges and solutions: illumination, occlusions, fast motion, textureless regions, GPU acceleration
- Multi-Camera Systems — Architecture guide for scaling to 100+ cameras: sync, GPU/NPU, USB/DMA
- CV Overview — Computer vision research and overview
- CV Coaching — Computer vision teaching and coaching services
AI & LLMs
- Advanced LLM Concepts — RAG, embeddings, knowledge graphs, multimodal models, production deployment
- Orchestrating Agents — Multi-agent systems, task decomposition, LLM orchestration
- Blog: AI & LLMs — RAG vs CAG, multi-agent architectures, AI’s impact
- Avatar Generator — Local video avatar with Ollama + Wav2Lip (no cloud)
CUDA & GPU
- Numba JIT — Python 10-100x speedup with @jit(nopython=True)
- PyCUDA Kernels — CUDA C kernels from Python with GPU memory management
- CUDA in VS Code — Dev environment setup on Windows
- MLX, CoreML & Metal — Apple Silicon ML frameworks
Solution
Courses
- All Topics — Complete topics index
- ML Specialization — Coursera ML notes
- Full Stack DL — ML production, data lifecycle
- FSDL 2022 — Continual learning, data management, testing
- MLOps — ML engineering for production
- ROS — Robot Operating System
- Parallel Programming — Python parallel CV
- Modern C++ — C++29 for image processing
- Cloud-Native — Docker & Kubernetes
- TF Deployment — TF.js, TF Lite, mobile ML
- RISC-V — Open-source processor architecture
- Edge AI Summit — TinyML, neuromorphic, edge inference
- Embedded IoT — Embedded systems
- Tesla AI — Autonomous driving
- AI Hardware — Accelerators & NPUs
- OpenVINO — Intel inference optimization
- Metaverse — XR & spatial computing
- Book Summaries — Knowledge management, PKM
- IoT Scholarship — OpenVINO edge AI, object detection
Business
- 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
- 10 Years of Bug Fixing — Lessons from fixing bugs in CV systems
- Solutions — Industry solutions and business
- Connect — Get in touch
Atlas
Research
- Patents — 3 patents: face augmentation, vehicle detection, facial analysis
- Papers — 11 conference papers: camera calibration, license plates, thresholding
- Journals — 6 journals: PSNR, SLAM, ant colony, character recognition
- Books — 7 books: optical flow, camera calibration, OpenCV 5 chapters, CV meets LLM
- Keynotes — LLMs meet Computer Vision
- CV — Full curriculum vitae
Programming
- C++ Reference — Memory (stack/heap), STL, debugging, Linux essentials
- Python Config — ConfigParser, argparse, pydantic, hydra, pybind11, Cython
- Developer Tools — Docker, GitHub tricks, CLI tools
- Shell & Vim — Terminal essentials, vim basics
Optimization
- CV/DL/ML Optimization — Quantization, pruning, TensorRT, ONNX, frameworks
- Prompts — Reusable LLM prompt templates
Knowledge
- Wiki — Wikipedia-style index of all pages
- Sitemap — Complete page listing
- Presentations — Token reduction in AI-assisted development
- Portfolio — Publications, patents, books, journals, papers, keynotes
- Resources — Patents, books, papers, projects
- Curated Links — Tools, tutorials, reading, YouTube
- Content Hub — All content categories