Jacob Sznajdman
Graph Analytics Software Engineer at Sznajdman Consulting
Greater Gothenburg Metropolitan Area Sweden
Summary
👤
Senior🎓
Top SchoolJacob Sznajdman is a Graph Analytics Software Engineer with 11 years of experience bridging rigorous mathematics and production-grade machine learning systems. After a PhD and a postdoc exploring links between graph algorithms and ML, he transitioned to industrial ML and NLP work—helping extract information from legal contracts and high-volume text streams at companies like Seal Software, Meltwater and Neo4j. He is fluent on the JVM and in Python, comfortable with distributed systems such as Spark, and consults on applied ML, deep learning and NLP across Gothenburg and remotely. At Neo4j he applies his academic background to graph analytics in production, while at Meltwater he focuses on real-time text intelligence and search improvements. Colleagues describe him as a Java-loving “machine learning heretic” with a mathematician’s precision and a pragmatic bent for shipping robust systems.
11 years of coding experience
4 years of employment as a software developer
Bachelor of Science (B.Sc.), Mathematics, 5.0/5.0 (equivalent), Bachelor of Science (B.Sc.), Mathematics, 5.0/5.0 (equivalent) at Chalmers tekniska högskola
Swedish, polska, English, Spanish
Stackoverflow
1reputation
0reached
2answers
0questions
Github Skills (32)
graph-algorithms10
data-science10
graph10
graph-database10
graph-data-science10
python-client10
neo4j10
cypher10
science10
planar-graph9
python9
machine-learning8
algorithms8
traffic6
embedding6
Programming languages (4)
Github contributions (5)
breakanalysis/graph-tycoon
Feb 2018 - Dec 2018
A simple traffic simulator on directed planar graph maps
Contributions:34 commits, 16 pushes, 1 branch in 10 months
traffic-simulatorsimulatorgraphtrafficdirected
breakanalysis/mlworkshop
Jul 2018 - Jul 2020
Contributions:31 pushes, 6 branches in 1 year 11 months
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