John Gkountouras
PHD Candidate
Amsterdam, North Holland, Netherlands
Summary
🤩
Rockstar🎓
Top SchoolJohn Gkountouras is a PhD candidate in Artificial Intelligence at the University of Amsterdam with nine years of industry and research experience bridging deep learning, causality, and LLM grounding. A mathematician by training (BSc in pure math, dual minors in CS and computational math) and MSc (cum laude) in AI, he combines rigorous theory with hands-on engineering—proficient in Python/PyTorch, efficient LLM fine-tuning, quantization, and inference optimization. He has led data teams and product delivery, built end-to-end ML systems for real estate valuation, and interned on LLM compression research at Stochastic. Currently his research focuses on L(V)LMs as agents and causality-inspired world models that ground language in vision, reflecting a rare mix of formal logic, optimization obsession, and production-minded implementation.
9 years of coding experience
2 years of employment as a software developer
Bachelor of Science, Pure Mathematics, Computer Science, Computational Mathematics, Bachelor of Science, Pure Mathematics, Computer Science, Computational Mathematics at University of IoanninaDoctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at University of Amsterdam
English, French, Greek
Github Skills (22)
language-model10
adapter10
discord9
fine-tuning9
data-preprocessing9
lora9
quantization9
deep-learning8
mistral8
generative-ai8
llama8
llm8
peft8
computer-vision6
vision-transformer6
Programming languages (3)
Github contributions (5)
j0hngou/BISCUIT
Oct 2023 - Jun 2024
Official code of the paper "BISCUIT: Causal Representation Learning from Binary Interactions" (UAI 2023)
Contributions:65 pushes, 15 branches in 7 months
j0hngou/Vision-DiffMask
Jul 2022 - Jul 2022
Contributions:1 push in 1 day
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