Daniel Middelhede
Quantitative Trader
Amsterdam, North Holland, Netherlands
Summary
👤
Senior🎓
Top SchoolDaniel Middelhede is a quantitative trader and machine learning R&D lead with 13 years of experience designing and delivering production ML systems across trading, energy, and enterprise domains. He combines deep theoretical knowledge (time series, deep learning, online/adaptive models, optimisation) with hands-on engineering—building scalable, real-time analytics and distributed systems from prototype to production. Daniel has led teams and startups, co-founding an R&D company focused on stream analytics and cloud architectures while also shipping ML platforms at Pegasystems and Trifork. He thrives in complex problem spaces where domain nuance matters, frequently collaborating directly with traders and business stakeholders to turn research into measurable value. Comfortable across Scala, Python, cloud and messaging ecosystems, he brings both algorithmic rigor and pragmatic delivery discipline. Based in Amsterdam, he’s as comfortable exploring novel models as he is operationalising them for high-stakes trading environments.
13 years of coding experience
18 years of employment as a software developer
Master of Science (M.Sc.) Computer Software Engineering, Master of Science (M.Sc.) Computer Software Engineering at Aalborg UniversityOverlund SkoleViborg Amtsgymnasium
English, Danish
Github Skills (29)
pega9
api9
python8
chat8
slack8
meteor7
webrtc7
javascript7
dataframes7
collaboration7
modbus6
kafka6
time-series6
dataframe6
json6
Programming languages (5)
Github contributions (5)
danielm-dk/pega-datascientist-tools
Jun 2024 - Jun 2024
Pega Data Scientist Tools
Contributions:2 pushes in 1 day
home-port/HomePort
Feb 2013 - Jun 2013
Contributions:128 commits in 4 months
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