Christos Frantzolas is a Machine Learning Engineer with nine years of experience building end-to-end ML solutions, currently applying deep learning, NLP and multimodal techniques at Modulai. Trained in Electrical and Computer Engineering in Greece and holding an MSc in Machine Learning from KTH, he has delivered projects across healthcare, logistics and sustainable forestry, combining sensors, computer vision and cloud-enabled model ops. His work spans pre-training and fine-tuning of models, retrieval-augmented generation with LLMs, embeddings and function-calling, and practical tooling like DVC and AWS for productionization. At KTH he contributed to an interdisciplinary forestry perception project, revealing a knack for bringing ML into applied environmental domains. A collaborative problem-solver and international team player based in Solna, he balances rigorous research experience with client-facing product delivery. Outside core ML work he’s known for building solutions from scratch and learning new languages and practices on the job.
9 years of coding experience
3 years of employment as a software developer
Master's degree, Machine Learning, Master's degree, Machine Learning at KTH Royal Institute of Technology
Electrical and Computer Engineering, Information Technology and Telecommunication, 8.87/10, Electrical and Computer Engineering, Information Technology and Telecommunication, 8.87/10 at University of Patras
Contributions:39 commits, 6 pushes, 11 branches in 1 month
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Christos Frantzolas - Machine Learning Engineer at Modulai