Robin Vujanic
Staff Research Engineer (ML AI) at MongoDB
Sydney, New South Wales, Australia
Summary
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Senior🎓
Top SchoolRobin Vujanic is a Staff Research Engineer specializing in ML/AI at MongoDB with 11 years of experience blending academic rigor from ETH Zürich (PhD) with production-focused machine learning and robotics engineering. He progressed from research scientist and technical lead at the University of Sydney to senior ML roles in industry, shaping ML systems at WiseTech Global before moving to MongoDB where he now leads research engineering efforts. His background in mechatronics and robotics gives him a strong systems-thinking approach to ML model deployment and real-world data challenges. Comfortable bridging research and engineering, he focuses on turning complex algorithms into reliable, scalable services used in enterprise contexts. Based in Sydney, he brings a mix of robotics intuition and practical software craftsmanship that often uncovers simpler, hardware-aware solutions to software-first ML problems.
11 years of coding experience
10 years of employment as a software developer
PhD Dept. of Information Technology, PhD Dept. of Information Technology at ETH Zürich
Italian, English, German, French
Github Skills (53)
bug-reporting10
retrieval9
sentence-transformers9
benchmark9
combinatorial-optimization9
barrage9
convex-optimization9
sts9
optimization9
clustering9
linear-programming9
cosine-similarity9
sentence-similarity8
python8
bert8
Programming languages (5)
Github contributions (5)
robin-vjc/nsopy
Nov 2016 - Dec 2022
Methods for Non-Smooth Convex Optimization (NSO), written in Python
Contributions:1 release, 97 commits, 2 PRs in 6 years 2 months
convex-optimizationpython
robin-vjc/pySTN
Jun 2015 - Nov 2016
Contributions:40 commits, 40 pushes, 2 branches in 1 year 5 months
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