Leigh Smith
Software Architect and Project Lead @Soundbrilliance, Llc
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WORK HISTORY
Software Architect and Project Lead @Soundbrilliance, Llc
Reno, NV, US
Initially part-time, now full-time, consulting architect of music DSP project for music therapy. Responsible for prototyping, technical design and specification, developer recruitment, outsourced team technical liaison, quality assessment and lead software development. Leveraging multiple deep network models and ActiveMQ Artemis message brokerage for cloud based event driven architectures for audio signal analysis and processing, and music recommendation systems.• Lead technical author of patent application, patent attorney liaison and technical advice, and patent review.(Python, Tensorflow, PyTorch, numpy/scikit-image, ActiveMQ Artemis, Docker, Django, Wasabi S3, Jupyter, GitHub and GitLab CI/CD, Python poetry, VST plugins)
EDUCATION
Curtin University
Post Graduate Diploma, Computer Science
The University of Western Australia
Ph.D, Computer Science, Music Perception, Wavelet Analysis
Curtin University
B.App.Sc, Computer Science, Electronic Engineering
SKILLS
ABOUT LEIGH SMITH
I have worked in commercial systems analysis, applied research, software engineering, project management, personnel training, technical writing, system and network administration. Application experience includes music information retrieval systems, audio DSP applications, music composition systems, bank cryptography, EFTPOS, smartcards, language design and compiler construction, embedded systems, communications, computer graphics, geographic/land information systems and GPS based aerial photography positioning systems.Research experience includes music information retrieval, music perception and cognition, computer music synthesis, interactive performance systems, analysis and modelling of musical rhythm, wavelet, DSP, machine learning and AI applications. Teaching experience includes undergraduate project, MSc. and PhD thesis supervision, lecturing and tutoring at several international universities.Specialties: Music Information Retrieval, Music Cognition, Musical Rhythm, Audio DSP, Machine Learning, OOP software development and project management in numerous languages, real time audio systems.
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