Overview of Dr. Farshid Pirahansiah's computer vision and AI expertise: 3D vision, multi-camera systems, optical flow, model optimization, and edge AI deployment.
Dr. Farshid Pirahansiah
Computer Vision Research Engineer & Technical Lead | Berlin, Germany
About Me
I am an accomplished Research Engineer with 12+ years of experience, including a PhD in Computer Science. My career has been dedicated to Computer Vision, Machine Learning, and ML Operations, with a proven track record of transforming complex algorithms into production-ready applications.
Experience
Within those 12+ years in the field:
- Computer Vision, C++ and R&D — the core of the whole period
- Machine Learning, Deep Learning, Python — alongside it from the start
- Embedded systems, multi-camera rigs, model optimization — most of that time on production deployments
- IoT, robotics, medical imaging, cloud (AWS) — recurring across projects
- Technical lead and global collaboration — multi-team work
- LLMs, multimodal AI, RAG, agentic workflows — the most recent years
Core Skills
- Computer Vision & AI: Image processing, deep learning, real-time systems
- Languages: Python, C++, MATLAB
- Frameworks: PyTorch, TensorFlow, ONNX Runtime, TensorRT, OpenVINO
- Tools: Docker, Kubernetes, AWS, Git, MLflow, CI/CD
- Edge AI: Jetson, Coral TPU, model quantization (INT8/FP16)
Published Research
- 3 Patents (Face Image Augmentation, Vehicle Detection, Facial Analysis Advertising)
- 2 Book Chapters (Springer)
- 6 Journal Papers | 11 Conference Papers
- Full Portfolio
Consulting Services
I offer personalized coaching, tutoring, and consulting in computer vision and AI. Learn more.
Content Hub
Computer Vision & 3D
- 3D Vision & Multi-Camera Systems — Point clouds, depth sensing, camera sync
- Optical Flow: Challenges & Solutions — Illumination, occlusion, fast motion
- Real-Time Multi-Camera Systems — Scaling to 100+ cameras
AI & LLMs
- Advanced LLM Concepts — RAG, embeddings, multimodal
- Orchestrating AI Agents — Multi-agent systems
- Blog: AI & LLMs — RAG vs CAG, multi-agent architectures
CUDA & GPU
- Numba JIT Tutorial — Python performance optimization
- PyCUDA Kernel Explanation — CUDA from Python
- CUDA in VS Code on Windows — Dev environment setup
- MLX, CoreML & Metal — Apple Silicon ML
Programming & Tools
- C++ Quick Reference — Memory, STL, debugging
- Python Configuration & Tips — Config management, pybind11, Cython
- Developer Tools & Setup — Docker, GitHub, CLI tools
- Shell & Vim Reference — Terminal essentials
Optimization & ML
- CV, DL & ML Optimization — Quantization, pruning, frameworks
- Prompt Engineering Templates — LLM prompt patterns
Business & Career
- Startup Guide — Edge AI business, fundraising, pitch decks
- SEO for LLM-Powered Search — Structured data, AI visibility
- Local Video Avatar Generator — Ollama + Wav2Lip tutorial
- Top LinkedIn Posts 2024 — Camera calibration, C++, robotics
Resources
- Portfolio & Publications — Patents, books, papers
- Curated Links — Tools, tutorials, reading
Connect
AI Assistant
- Computer Vision Developer GPT — Expert in Python, OpenCV for CV applications
Source: Pirahansiah, F. “Computer Vision”. pirahansiah.com, updated 2026-09-19. Canonical URL https://pirahansiah.com/farshid/content/note-computer-vision-overview/ · markdown source note-computer-vision-overview.md · how to cite, quote and link this site.