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AI Engineer with 8+ years in AI Research & Development
Highly accomplished Machine Learning Engineer with a PhD in Media Arts Technology and extensive experience in AI research and development. Proven track record in production-level coding, building complex AI projects, and deploying deep learning models, achieving over 90% accuracy in voice biometrics. Possesses strong Python proficiency and expertise in various ML techniques, including GANs and Transformers. Eager to contribute cutting-edge AI research and product development to Big Cloud's investment banking initiatives.
Queen Mary University of London
PhD · Media Arts Technology
August 1, 2018 – June 30, 2024
University of West London
MA · Music Technology and Composition
August 1, 2013 – June 30, 2015
MTU Cork School of Music
BMus · Music
August 1, 2007 – June 30, 2011
AI Voice Sound Patrol
Lead Researcher of AI Voice Sound Patrol
October 1, 2025 – Present
Los Angeles, California, United States
AI Music Jammable Ltd
Researcher of AI Music
March 1, 2024 – October 1, 2025
London, England, United Kingdom
TikTok
Research Scientist Intern
June 1, 2022 – September 1, 2022
London, England, United Kingdom
Queen Mary University of London
Teaching
September 1, 2019 – April 1, 2024
London, England, United Kingdom
MXX
Research Intern
March 1, 2019 – September 1, 2019
London, England, United Kingdom
Independent
Creative Technologist (Selected Projects)
September 1, 2015 – September 1, 2020
London, England, United Kingdom
Misc
Earlier Roles
July 1, 2007 – November 1, 2020
London, England, United Kingdom
Cultural Fit Analysis
The candidate's background in AI research, particularly in music and audio, aligns well with innovative and fast-paced environments. Their experience in leading research, defining product directions, and engaging with clients suggests a proactive and results-oriented approach. The academic background combined with industry experience in companies like TikTok and AI Voice Sound Patrol indicates adaptability and a blend of theoretical depth and practical application. The diverse project experience, including creative technologist roles, suggests a broad perspective and willingness to explore new domains, which is beneficial for cultural fit in a dynamic AI role.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership in research, project management, and team collaboration, as evidenced by spearheading research roadmaps, chairing research groups, and guiding student projects. Their experience in translating research findings into product deliverables and engaging with C-suite indicates strong communication and strategic alignment skills. The diverse background in creative technology also suggests cross-domain problem-solving and innovative thinking.