Gregory Karanikas
Software Engineer at Escientia
Greater Sydney Area Australia
Summary
👤
Senior🎓
Top SchoolGregory Karanikas is a software engineer and quantitative analyst with a decade of experience blending machine learning research and production-grade engineering across finance and research settings. He holds an MPhil in Machine Learning from the University of Melbourne and a strong mathematical foundation from UNSW, which he applies to building low-latency C++ trading systems and Python-driven data pipelines. At Star Beta he led quant development, backtesting and ETL automation, and now brings that experience to software engineering work at Escientia. Gregory is comfortable across the stack—from statistical modelling and optimization to SQL-backed data management and automation—and focuses on reliable, performance-sensitive solutions. He pairs academic rigor with practical delivery, often moving ideas from research prototypes into optimized, deployable systems. Based in Greater Sydney, he combines quantitative curiosity with hands-on engineering to tackle high-frequency and data-intensive problems.
10 years of coding experience
The University of MelbourneUNSW Sydney
Github Skills (8)
statistics10
data-science9
python9
data-analysis9
machine-learning9
scikit8
scikit-learn8
bioinformatics3
Programming languages (2)
Github contributions (5)
gkaranikas/dancing-links
Jun 2018 - Sep 2018
Contributions:20 commits, 5 pushes, 1 branch in 2 months
gkaranikas/self-printing-code
May 2018 - Sep 2018
Contributions:2 PRs, 4 pushes, 2 branches in 3 months
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