Edge AI & Embedded Intelligence Solutions
26 years of electronics engineering experience meets cutting-edge AI technology
What is Edge AI?
Edge AI brings artificial intelligence processing directly to embedded devices, eliminating cloud dependency and enabling real-time decision-making where it matters most. Unlike traditional IoT systems that send data to remote servers, edge AI processes information locally, delivering:
- Ultra-low latency responses (milliseconds vs seconds)
- Enhanced privacy – data never leaves the device
- Reliable operation independent of network connectivity
- Reduced bandwidth requirements and costs
My Edge AI Expertise
With over two decades building robust electronics and software systems, I specialize in physics-aware edge AI solutions that actually work in real-world industrial environments.
Core Technical Capabilities
Hardware Integration:
- ARM Cortex-M, ESP32, STM32 microcontroller programming
- Custom sensor interfacing and signal conditioning
- Low-power design for battery-operated systems
- RF/wireless communication protocols (LoRaWAN, WiFi, Bluetooth)
AI/ML Implementation:
- TensorFlow Lite and TinyML model deployment
- Custom neural network optimization for constrained devices
- Real-time signal processing and feature extraction
- Edge inference with sub-100ms response times
Physics-Based Applications:
- Vibration analysis and structural health monitoring
- Electromagnetic field mapping and EMI detection
- Acoustic emissions analysis for predictive maintenance
- Environmental sensing with intelligent data fusion
Specialized Solutions I Develop
1. Intelligent Monitoring Systems
Seismic & Vibration Analysis
- Real-time earthquake detection and classification
- Structural health monitoring for bridges and buildings
- Industrial equipment failure prediction
- Custom algorithms based on physics principles
2. Electromagnetic Intelligence
RF Field Analysis & EMI Detection
- Automated EMC compliance testing
- Interference source identification and mapping
- 5G deployment validation tools
- Spectrum analysis with AI-powered anomaly detection
3. Acoustic Intelligence
Sound-Based Predictive Maintenance
- Machine condition monitoring through acoustic signatures
- Early crack detection in critical infrastructure
- Quality control in manufacturing processes
- Real-time audio classification and alert systems
Why Choose Physics-Aware Edge AI?
Most “edge AI” solutions are just demos that work in labs. My systems are built on solid engineering physics principles combined with decades of field experience:
- Domain expertise in sensor physics and signal processing
- Industrial-grade reliability designed for 24/7 operation
- Custom solutions tailored to specific physics constraints
- End-to-end development from concept to production-ready systems
Industries I Serve
- Infrastructure Monitoring – Bridges, buildings, pipelines
- Industrial Automation – Predictive maintenance, quality control
- Environmental Monitoring – Seismic networks, pollution detection
- Electronics Manufacturing – EMC testing, process optimization
- Research Institutions – Custom instrumentation and data acquisition
Technical Differentiators
Real-Time Performance:
- Sub-millisecond sensor data acquisition
- Edge inference under 100ms
- Deterministic response timing for critical applications
Power Efficiency:
- Ultra-low power designs for remote deployment
- Intelligent duty cycling and adaptive processing
- Solar/battery operation for months without maintenance
Robust Operation:
- Industrial temperature range (-40°C to +85°C)
- Electromagnetic interference immunity
- Vibration and shock resistant packaging
Project Examples
Seismic Early Warning System
- 3-axis accelerometer array with local ML processing
- P-wave detection with 95% accuracy in <50ms
- LoRaWAN mesh network for regional coverage
- Solar-powered with 2+ year battery backup
Smart EMI Analyzer
- Broadband RF monitoring (10kHz to 6GHz)
- AI-powered interference classification
- Real-time spectral analysis and reporting
- Portable design for field EMC testing
Predictive Maintenance Platform
- Multi-sensor fusion (vibration, acoustic, thermal)
- Machine learning models trained on physics-based features
- Wireless sensor networks with edge processing nodes
- Integration with existing SCADA/MES systems
Getting Started
Ready to implement intelligent edge AI solutions that actually work in your industry?
What I deliver:
- Comprehensive system design and architecture
- Custom hardware/firmware development
- AI model development and optimization
- Field testing and validation
- Production support and documentation
Project timeline: Typically 3-6 months from concept to working prototype.
Contact me to discuss your specific edge AI requirements.
“The future belongs to systems that can think locally and act immediately. With 26 years of building reliable electronics, I create edge AI solutions that perform when it matters most.”
– Rahul Soni, Electronics & Software Engineer