Robert Tame

Background

About Robert Tame

A productive and collaborative engineer with a dynamic skill set and extensive subject knowledge, shared willingly. My passion for an elevated customer audio experience, achieved through empathic design, clear communication and full-stack problem solving, forms the core of my motivation and job satisfaction. With a strong belief in continuous learning, collaborative success and the value of professional development regardless of seniority, I value outcome over output and accountability and responsibility over job title- Rust (0.5 yr), C / C++(10 yr), Python (8 yr), PyTest (6 yr), Objective C (2 yr), Docker, Jenkins, Groovy, Git, AWS S3 - Multiple hats: Dev / Test / Architect engineering roles within past 10 years - Consistently held Senior and Project Lead roles for over 20 years - Proven adeptness in roles spanning Software Development, Test and R&D as individual contributor - Achieved “Meets” or “Exceeds expectations” in every workplace evaluation for over 20 years - MSc Digital Music Processing (with Merit): Queen Mary University of London, UK (2009 - 2012)- BEng Electroacoustics (with Honors): University of Salford, UK (1994 - 1998)- Implemented automated test coverage for real-time embedded linux multithreaded home theater audio systems, reducing feature regressions - Specification, development, debugging and demonstration of CODEC / analysis tools for broadcast vendors and streaming standards: HLS / DASH / MP2TS / ISO-13818 and MP4 / ISO BMFF 14496 - Root cause analysis of IEC 61937 SPDIF bitstream quirks (including HDMI, ARC, eARC protocols) to improve audio and user experience across multiple product lines, platforms and business sectors - Supported dev and product management through delivery of end-to-end systems integration of audio codecs (Dolby, DTS, MPEG, Apple Spatial and Lossless), decoder libraries, metadata handling, proof of concept, objective audio quality analysis, implementation, testing, debugging - Principal dev in a team of 4 devs, from formation to public launch of an industry standard, multi-threaded, highly optimized, frame accurate Spatial audio and 4K video streaming QC tool used by streaming media QC houses (2015-2017)- Published / presented AES 133 (2013) convention paper: “Headphone Virtualisation: Improved Localisation and Externalisation of Non-individualised HRTFs by Cluster Analysis” (2012)- Onboarding, training, mentoring and management of multiple colleagues and contractors - Experienced musician with deep experience in signal routing, digital domain analysis / processing Agile / Scrum certified