Manos Stergiadis
Member Of Technical Staff at Cohere
Amsterdam, North Holland, Greece
Summary
👤
Senior🎓
Top SchoolManos Stergiadis is a machine learning and software engineer with 10 years of experience building production ML systems, currently a Member of Technical Staff at Cohere after several ML roles at Booking.com. He combines deep NLP and sequence-to-sequence expertise with low-level performance engineering—evidenced by CUDA CNN work at CERN and stability/optimization contributions to ROOT’s GPU matrix and TMVA modules. His open-source contributions to Gensim improving WikiCorpus processing and Python3 test coverage show a pragmatic focus on robust text processing and test automation. Based in Amsterdam and trained with a Professional Doctorate in Data Science, he prefers tackling real-world problems where model research meets scalable engineering.
10 years of coding experience
9 years of employment as a software developer
Professional Doctorate in Engineering Data Science, Professional Doctorate in Engineering Data Science at Eindhoven University of TechnologyEngineer’s Degree Electrical Engineering and Computer Science, Engineer’s Degree Electrical Engineering and Computer Science at Aristotle University of Thessaloniki (AUTH)
English, German, Greek
Github Skills (26)
unit-testing10
gensim10
c-language10
python10
testing10
data-mining10
gpu-programming10
cuda10
nlp10
cprogramming-language10
test-automation10
r9
machine-learning9
cer9
topic-models9
Programming languages (8)
Github contributions (5)
piskvorky/gensim
Jan 2018 - Jun 2018
Topic Modelling for Humans
Role in this project:
Back-end Developer & Test Automation Engineer
Back-end Developer & Test Automation EngineerContributions:38 commits, 16 PRs, 33 comments in 5 months
Contributions summary:Manos primarily focused on refactoring and enhancing tests for the `gensim.corpora.WikiCorpus` class. They created test data, adapted existing tests, and ensured Python 3 compatibility. Furthermore, the user added article interlinks to the output of the `gensim.scripts.segment_wiki` script and fixed bugs related to interlinks. Their contributions demonstrate a focus on improving the quality and functionality of the Gensim library, particularly in the area of text processing and data extraction.
pythonword-similarityword-embeddingsdata-miningfor-humans
root-project/root
May 2018 - Aug 2018
The official repository for ROOT: analyzing, storing and visualizing big data, scientifically
Role in this project:Back-end Developer
Back-end DeveloperContributions:56 commits, 14 PRs, 19 comments in 2 months
Contributions summary:Manos focused on improving the performance and functionality of the ROOT project, a data analysis framework. They addressed a critical bug in the `TCudaMatrix` class related to zero initialization, significantly improving the stability of GPU computations. Further contributions included optimizations and API simplification within the TMVA module, specifically for convolutional neural network (CNN) implementations, reducing code duplication and enhancing the API. The user also implemented and tested CUDA-specific functionality within the test suite.
pythonroot-cernmathematicsc-plus-plusscientific-visualization
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.