Lazaros Toumanidis
Co-Founder at University of West Attica
Athens, Attica, Greece
Summary
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Rockstar🎓
Top SchoolLazaros Toumanidis is a software engineer and co-founder with a decade of experience blending academic research and product-focused development across startups and universities in Athens. He brings strong hands-on skills in Python, PHP, JavaScript and Swift, and has applied them to both research projects and commercial software at ThinGenious and Internet Business Hellas. As a long-standing research associate at the University of West Attica, he bridges experimental methods and practical engineering to move ideas toward production. His open-source work includes enhancing a PyTorch FLOPs counter, improving usability and precision for model-complexity analysis—an indication of his interest in ML tooling and developer ergonomics. Now co-founding Waldiez, he combines entrepreneurial drive with a pragmatic engineering mindset shaped by electronics engineering training. Colleagues value him for making complex systems measurable and for translating research insights into usable software.
10 years of coding experience
1 year of employment as a software developer
Bachelor's Degree, Bachelor's Degree at Technological Educational Institute of Piraeus
English, Greek
Github Skills (7)
pytorch10
machine-learning10
deep-learning10
python10
transformer-models8
neural-network8
deep-neural-networks8
Programming languages (9)
Github contributions (5)
sovrasov/flops-counter.pytorch
Mar 2022 - Apr 2022
Flops counter for convolutional networks in pytorch framework
Role in this project:
ML Engineer
ML EngineerContributions:9 commits, 1 PR in 9 days
Contributions summary:Lazaros primarily focused on enhancing the functionality and usability of the provided PyTorch-based Flops counter. Their commits involved modifying the `ptflops` library, specifically altering how model parameters and floating-point operations (FLOPs) are displayed. They added and refined parameters such as units and precision to the `get_model_complexity_info` and `print_model_with_flops` functions, enhancing the user's ability to analyze model complexity. They also corrected typos and implemented code formatting using linting tools.
flops-counterpytorchpytorch-utilsflopsdeep-learning
waldiez/react
Oct 2024 - Apr 2025
React app to generate waldiez flows.
Contributions:96 PRs, 277 pushes, 2 branches in 5 months
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