Paul Gustafik
Model Developer, Trading And Client Controls at Deutsche Bank
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolPaul Gustafik is a model developer and quantitative researcher with 12 years of experience applying physics-grade rigor to machine learning and statistical modelling in investment banks. Holding a PhD in optical engineering and an MSc in theoretical physics, he has moved from front-end engineering and digital design into leading quant teams and productionising models at Barclays and Deutsche Bank. He has delivered end-to-end solutions—from greenfield climate-impact capital methodologies and CI/CD model deployment to rapid big-data cashflow classifiers during COVID—and routinely bridges quant, IT and data teams to shorten time-to-market. Comfortable coding across the stack, he also brings a background in high-performance front-end systems and automation that helps make complex models operationally robust. Colleagues value him as a mentor who builds reusable templates and unified pipelines that increase team fungibility and accelerate delivery.
12 years of coding experience
14 years of employment as a software developer
Gymanzium PezinokPhD Optical Engineering, PhD Optical Engineering at Shizuoka UniversityMaster of Science Theoretical physics, Master of Science Theoretical physics at Univerzita Komenského v Bratislave
Slovak
Github Skills (13)
stochastic8
minimum8
batch6
nodejs6
parallel6
machine-learning6
python6
optimization6
gradient6
hyperparameter-optimization4
tensorflow4
gradient-descent3
neural-network3
Programming languages (1)
Github contributions (5)
pallogu/NodeNeuralNetwork
Jan 2014 - Feb 2018
Contributions:41 commits, 1 PR, 1 push in 4 years 2 months
tensorflowfindingdescentmap-reducenodejs
pallogu/kaggle_competitions
Sep 2019 - Feb 2021
Contributions:72 pushes, 1 branch in 1 year 5 months
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