Jack Deadman
Machine Learning Engineer at Lantum
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolJack Deadman is a machine learning engineer and recent PhD from the University of Sheffield with 11 years of experience bridging speech research and production software. His doctoral work advanced realistic simulation techniques for far-field automatic speech recognition and speech separation, enabling models to perform closer to real-world acoustic conditions. He has taught undergraduate and postgraduate labs across signal processing, machine learning, and genetic algorithms, and applied those skills in industry building large-scale data visualisation tools for renewable energy. More recently he has held data science and ML engineering roles at Biomex and Lantum, translating research-grade methods into robust, deployable systems. Based in London, he looks for roles that combine acoustic ML research with pragmatic software engineering, and he brings a creative side informed by interests in photography and music. An understated strength is his track record of creating tooling and simulations that narrow the gap between academic experiments and fielded applications.
11 years of coding experience
2 years of employment as a software developer
Sussex Downs CollegeDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at The University of SheffieldBishop Bell
Stackoverflow
186reputation
7kreached
2answers
1question
Github Skills (42)
git10
github10
patch9
react-component9
weighted9
datepicker9
prediction8
audio8
subversion8
datetime8
signal-processing8
trend7
date-fns7
react7
dayjs7
Programming languages (6)
Github contributions (5)
jackdeadman/tracking-annotator
May 2020 - Oct 2020
A tool to annotate videos for person tracking
Contributions:74 commits, 26 pushes, 1 branch in 5 months
personvideosannotateannotate-videostracking
jackdeadman/DOM
Aug 2015 - Nov 2017
Contributions:1 PR, 7 pushes, 1 branch in 2 years 3 months
jquerylearning-tooljavascriptso-simpleabstraction-library
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