David Watts Email & Phone Number

I am a multidisciplinary research engineer with a passion for statistical machine learning and signal processing; committed to problem solving at each stage of the product development lifecycle through concept, research, design, implementation and customer delivery.My 20 years of professional engineering experience includes research, product development, manufacturing design, production development, project management, test systems, system integration, technology transfer and product support.Areas of expertise include:- Audio DSP- Machine Learning- Data Science- Embedded Development in Assembler/C/C++- Bluetooth- Photovoltaics- Switch Mode Power Conversion- Transformer Design- Mixed Signal Circuit Design- PCB Design- EMC, IEC/UL 60950 conformanceStatistical machine learning highlights:- Data collection- Adaptive filter design for system identification and feature extraction- Quality filtering for data preprocessing- Feature extraction methods (Fourier analysis, DCT, Cepstral processing)- Hypothesis testing- Exploratory data analysis- Dimensionality reduction (PCA, LDA)- Classifier design (LDA, distance/similarity metrics)- Resampling methods (cross-validation, bootstrapping, - Probabilistic models (GMM,PLDA)- Score normalisationAudio signal processing highlights:- Single channel speech enhancement (Wiener filtering, spectral subtraction, statistical speech estimators, data driven methods)- Bone conducted speech signal processing- Beamforming and multi-microphone speech enhancement- Acoustic echo cancellation- Wind noise reduction- Low latency filtering- Adaptive gain control- Bandwidth extension- Voice activity detectionEmbedded system development platforms:- ADSP2- CSR- dsPIC30F- MSP430- Arduino- Raspberry PiI also have experience with the following learning representations: reinforcement learning (OpenAI, BURLAP), linear/logistic regression, convolutional neural networks, sequence models (audio), generative models (Variational Autoencoders and GANs).I prefer to use SVN or Git for code management and agile development practices.

Listed skills include Embedded Systems, Digital Signal Processors, Signal Processing, Embedded Software, and 11 others.