Work

Anonymized case studies showcasing real-world optimizations and deployments on constrained systems.

Low-Latency Edge Audio Enhancement for Multi-Mic Device

Smart Devices

Challenge

Client needed real-time noise suppression and beamforming on a battery-powered device with <256MB RAM and strict latency requirements (<20ms).

Solution

Implemented fixed-point adaptive beamformer with INT16 processing pipeline. Optimized using ARM NEON intrinsics. Deployed on RTOS with dedicated audio thread at highest priority.

Impact

→Latency: 12ms end-to-end (40% below target)
→Memory: 180MB peak (30% headroom)
→Power: 2.5x battery life improvement vs. baseline
→SNR improvement: 15dB in noisy environments

DSPAudioRTOSARM

Quantized Inference Pipeline for Constrained Embedded Platform

Industrial IoT

Challenge

Industrial sensor platform needed predictive maintenance ML on Cortex-M4 MCU with 512KB flash and 128KB RAM.

Solution

Trained compact anomaly detection model. Applied aggressive quantization (INT8) and pruning (70% sparsity). Used TFLite Micro runtime with custom ops.

Impact

→Model fits in 48KB flash
→Inference: 80ms at 168MHz
→Anomaly detection: 88% F1 score
→Deployed to 10,000+ devices via OTA

Embedded MLMCUTinyMLPredictive Maintenance