David Szabo
Software Engineer, Adversarial Machine Learning at Google
Munich, Bavaria, Germany
Summary
👤
Senior🎓
Top SchoolDavid Szabo is a software engineer specializing in adversarial machine learning with a decade of experience building data-driven systems that extract and enhance information from textual and unstructured data. Currently at Google, he blends research-grade ML (NLP, node embeddings, reinforcement techniques) with pragmatic engineering—shipping services in Python and Go, containerized with Docker and backed by Postgres. His background spans full-stack ML deployments (FastAPI, Svelte), CI/CD and AWS-hosted pipelines, plus academic research at TUM and MTA SZTAKI that informs robust model design. Known for clean productionization of ML pipelines, he pairs strong algorithmic foundations with hands-on system-building and an unusual enthusiasm for relational databases in modern ML stacks.
9 years of coding experience
6 years of employment as a software developer
Master's degree, Data Engineering and Analytics, Master Thesis: 1.0, Master's degree, Data Engineering and Analytics, Master Thesis: 1.0 at Technical University MunichBachelor's degree, Computer Science, 5 with distinction (1.0 German grading system), Bachelor's degree, Computer Science, 5 with distinction (1.0 German grading system) at Eötvös Loránd University
English, German, Hungarian
Github Skills (72)
htmx10
dialog10
singer-io10
templating10
server-side-rendering10
language-server10
voice9
bots9
dialogue-systems9
facebook9
conversations9
google-assistant9
bot-framework9
nlp8
dialogflow8
Programming languages (3)
Github contributions (5)
Ra0k/vector-to-tensorboard
Jul 2017 - Jul 2020
Contributions:1 push, 1 branch in 3 years
Ra0k/mmf
Jun 2020 - Jul 2020
A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)
Contributions:9 pushes in 1 month
modular-frameworkvisionvision-languagedeep-learningcomputer-vision
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