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Quant Dev & AI Agent Engineer | ML, LLMs, Production Systems | EU/UK, Remote
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Machine learning engineer and researcher with 10+ years of experience building end-to-end prediction systems and data pipelines. Experience spans deep learning model development, high-performance computing, and production system implementation. Combines PhD-level training with practical experience across financial markets, scientific research, retail, and creative domains.
UCL
Doctor of Philosophy (Ph.D.) studies, Machine Learning
January 1, 2008 – January 1, 2013
Indiana University Bloomington
Master’s Degree, Human Computer Interaction
January 1, 2006 – January 1, 2008
Indiana University Jacobs School of Music
Bachelor’s Degree, Music Composition
January 1, 2002 – January 1, 2006
mthree
q/kdb+ Instructor
August 1, 2025 – Present
Remote
Codescrum
AI Agent Engineer
May 1, 2025 – Present
Hybrid
Self-employed
Independent Quantitative Trader
February 1, 2021 – August 1, 2024
Remote
Boehringer Ingelheim
Data Scientist
April 1, 2019 – February 1, 2020
Ingelheim, Germany
Gattaca
Quant Researcher & Developer
April 1, 2018 – October 1, 2018
London Area, United Kingdom · Hybrid
Sainsbury's
Senior Data Scientist
September 1, 2016 – December 1, 2016
London Area, United Kingdom · On-site
TuneMoji
Data Scientist
April 1, 2016 – September 1, 2020
London Area, United Kingdom · Hybrid
Faculty
Machine Learning Coach
January 1, 2016 – April 1, 2017
London Area, United Kingdom · Hybrid
Jukedeck
AI Research / Software Engineer
April 1, 2015 – December 1, 2015
J.P. Morgan
Quantitative Researcher
April 1, 2014 – April 1, 2015
London Area, United Kingdom · On-site
Workshare Inc
Data Scientist
June 1, 2013 – April 1, 2014
London Area, United Kingdom
University College London
Teaching Assistant, Machine Learning
October 1, 2009 – January 1, 2010
London Area, United Kingdom
Indiana University
Associate Instructor, Math and Logic for Cognitive Science
January 1, 2008 – May 1, 2008
Greater Bloomington, Illinois Area
LiveAudio
April 1, 2025 – Present
A real-time audio processing library built to provide efficient streaming algorithms for popular audio analysis techniques https://pypi.org/project/liveaudio/
Cultural Fit Analysis
The candidate's background includes significant experience in finance, AI, and academic instruction, demonstrating a broad range of interests and adaptability. While the target role is 'Data Analyst', much of the experience leans towards Data Scientist, Quant Researcher, and AI Engineer, which might indicate a potential mismatch in the scope and depth of typical Data Analyst responsibilities. The extensive academic background (Master's, PhD studies) and teaching roles suggest a strong inclination towards continuous learning and knowledge sharing. The personal project 'LiveAudio' further highlights initiative and passion for technical development outside of formal employment.
Soft Skills & Operational Fit
The candidate's experience as an instructor and mentor, along with mediating between teams, suggests strong communication and collaboration skills. Their independent quantitative trading role indicates self-direction, problem-solving, and resilience. The diverse project experience implies adaptability and a proactive approach to learning new technologies and domains.