AI vision, embedded systems, optimization, and delivery leadership
Advanced engineering in the real world.
Nobile Engineering helps companies design, optimize, and deliver demanding systems across computer vision, machine learning, embedded software, and cloud-connected AI workflows.
- PhD background
- 15+ years in performance-critical software
- Deep learning + classical vision
- Embedded, edge, and cloud-connected systems
What We Bring
- End-to-end ownership From research and prototyping to production deployment.
- Speed where it matters C++, TensorRT, SIMD, multithreading, embedded optimization.
- Scalable delivery Senior leadership with trusted collaborators when projects need broader capacity.
Selected clients and collaborations
Built for demanding organizations.
EY
Huawei
ITAB
LiangDao
Massive Analytic
GlobeTech
MFData
Selected engagements across consulting, product development, and technical leadership.
Services
Specialized execution across AI, embedded, and product delivery.
Nobile Engineering supports product teams that need technical depth, practical execution, and senior ownership from architecture to implementation.
AI and Computer Vision
Real-time object detection, segmentation, tracking, pose estimation, multi-camera systems, dataset pipelines, and production-grade inference.
- Model design, training, and adaptation
- Classical vision where geometry matters
- TensorRT and C++ deployment
- Prototype-to-production pipeline design
Embedded and Edge Systems
Embedded Linux, MCU firmware, device software, camera pipelines, and edge AI optimized for constrained hardware.
- ARM-based systems and embedded Linux
- Firmware and OTA workflows
- Sensor and imaging pipelines
- On-device AI integration
Performance Engineering
C/C++ optimization, SIMD, threading, memory tuning, and architectural work for systems where latency and throughput are critical.
- High-performance inference pipelines
- CPU and memory bottleneck analysis
- Code modernization and acceleration
- Real-time and high-throughput systems
Cloud-Connected AI and Leadership
AI application backends, workflow automation, RAG-style integrations, architecture leadership, and management of small expert delivery teams.
- Cloud-connected AI product workflows
- Architecture and technical roadmaps
- Project rescue and product hardening
- Delivery with trusted collaborators when needed
Why Nobile Engineering
A rare mix of algorithm depth, systems thinking, and hands-on delivery.
The strongest differentiator is not a single technology. It is the ability to connect model design, classical vision, embedded deployment, and low-level performance work inside one coherent delivery process.
Research to production
From proof-of-concept algorithms to robust software shipped in products.
Deep learning and traditional vision
Use the right approach for the problem instead of forcing a single stack everywhere.
Close to the hardware
Strong low-level expertise across ARM, C/C++, SIMD, threading, and embedded constraints.
Leadership without overhead
Senior technical ownership with an execution model that stays flexible and fast.
Selected Projects
Representative work across retail, robotics, lidar, cloud AI, and performance-critical systems.
Work spans product recognition, multi-camera analytics, edge deployment, cloud AI workflows, and architecture-aware optimization for demanding technical environments.
Retail Vision
Automated checkout and fraud detection
Product recognition, multi-camera perception, self-checkout fraud detection, and prototype work for automated retail systems.
Video Analytics
High-speed multi-camera analytics pipeline
Real-time detection, tracking, pose estimation, clustering, and statistics with production-oriented C++ implementation.
Robotics
Embedded perception for robotic lawnmowers
Model training, embedded optimization, synthetic data, mapping with camera inputs, and full pipeline integration for an outdoor robotics product.
Lidar
3D detection, segmentation, and C++ porting
Research and implementation work on lidar detection, tracking, point cloud segmentation, and porting Python systems into faster deployment paths.
Cloud AI
Enterprise workflow automation with RAG
AI-based web application work for email handling and draft generation, showing the ability to extend beyond edge AI into business-facing cloud workflows.
Performance Engineering
Optimization roots in HPC and low-level systems
A long track record in high-performance scientific code, parallel systems, architecture-aware optimization, and speed-critical implementation.
Delivery Model
Execution with senior technical ownership.
Direct senior involvement keeps communication efficient and decisions technically grounded, while a trusted collaborator network supports broader delivery when a project needs additional capacity.
Frame the real problem
Clarify constraints, success criteria, target hardware, and delivery risks early.
Design for reality
Choose architectures and pipelines that can survive production constraints, not just demos.
Build and optimize
Move fast, then tune models, code paths, and system behavior where performance matters most.
Harden delivery
Integrate, stabilize, and support the path from technical prototype to deployable product.
About
Led by Andrea Nobile.
Nobile Engineering is a consultancy focused on AI vision, embedded systems, performance-critical software, and technical leadership. The business is led by Andrea Nobile, whose background spans research, Huawei, HPC, machine learning, embedded work, and product-oriented consulting.
This combination is especially valuable for companies that need more than a model developer or a pure software contractor. It supports end-to-end technical ownership, from algorithm design and optimization to integration and delivery.
Contact
Discuss a new build, a difficult optimization problem, or a project that needs senior technical ownership.
Based in Italy and working remotely across Europe on AI vision, embedded, cloud-connected AI, and performance-critical engineering projects.
info@nobile-engineering.com
LinkedIn Profile
Initial conversations can start by email, then move into a short technical discovery call.