Mark Szulyovszky
Co-Founder at Heii OU
Sliema, Central Region, Malta
Summary
👤
Senior🎓
Top SchoolMark Szulyovszky is a quant portfolio manager, researcher and engineer with 11 years of experience building production-grade trading infrastructure and consumer products. As Co-Founder of Unravel/Aperiodic he designs institutional-grade, market-neutral crypto factor portfolios and order-flow analytics, while running a family-office quant desk deploying long-short strategies. He previously co-founded and served as CTO/CRO of Drops, scaling the language app to 25 million users before exit to Kahoot!, and built high-performance systems with very small teams. Mark blends functional-programming-driven engineering, machine learning and product design, and uniquely pairs academic-style research with pragmatic deployment. Based in Malta, he’s equally comfortable coding low-level market microstructure metrics as he is shaping product and growth strategy.
11 years of coding experience
9 years of employment as a software developer
Intro to Machine Learning with Pytorch Nanodegree, Intro to Machine Learning with Pytorch Nanodegree at UdacityArtificial Intelligence, Computer Science, Artificial Intelligence, Computer Science at University of LeedsBachelor's, Communication Science (Specialization in Marketing & PR), Bachelor's, Communication Science (Specialization in Marketing & PR) at Szegedi TudományegyetemCertificate, Sound Engineering, Certificate, Sound Engineering at Oktopus Multimedia InstituteCertificate, Graphic & Media Design, Certificate, Graphic & Media Design at International People's College
Stackoverflow
313reputation
34kreached
2answers
1question
Github Skills (200)
onesignal10
certificate-pinning10
swiftui10
urlrequest10
pinch10
watchos10
textview10
time-series-forecasting10
gear-vr10
urlsession10
alamofire10
apple-tv10
react-native-ios10
prediction10
oauth-client10
Programming languages (15)
Github contributions (5)
momentumworks/Formula
May 2016 - Sep 2016
Contributions:104 commits, 14 PRs, 32 pushes in 3 months
swiftcode-generator
dream-faster/fold
Dec 2022 - Feb 2023
🪁 A fast Adaptive Machine Learning library for Time-Series, that lets you build, deploy and update composite models easily. An order of magnitude speed-up, combined with flexibility and rigour.
Contributions:24 releases, 93 reviews, 42 commits in 2 months
forecastingpredictionrollingmachine-learningwindow
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