I’m Vasileios Savvas Papagrigoriou, a dedicated Machine Learning Engineer and Full Stack Developer. I specialize in building scalable AI products, multimodal learning systems, and high-performance applications that solve complex, real-world problems
Every project I take on starts with clarity and intention. Whether it’s a product interface, a brand refresh, or a full digital build, I focus on thoughtful structure, meaningful visuals, and experiences that simply feel right.
My expertise lies at the intersection of Computer Vision, Deep Learning, and robust software engineering. Currently, as an Assistant Researcher at the Biological Computation Lab in Thessaloniki, I develop computational tools for complex biological datasets, successfully boosting research productivity by 25%. Furthermore, I have a proven track record in automating bioinformatics pipelines, significantly cutting processing times by 30%
In addition to my research work, my experience as a Junior Full Stack Developer has allowed me to drive innovation in mobile and web applications. Specifically, I have engineered workflows that enhanced API response times by 150ms and optimized relational databases for major projects, ensuring data integrity for over 500,000 records. Moreover, my proficiency with Docker and AWS ensures that every solution I deploy is scalable and efficient.
I hold an MSc in Artificial Intelligence from the Aristotle University of Thessaloniki and a BSc in Informatics. Consequently, my academic foundation is complemented by practical projects, such as the development of unsupervised multi-modal video summarization models using PyTorch and TensorFlow. Recently, I presented my work on PhyloFlask, a platform for large-scale phylogenetic visualization, at the HBio 2025 conference.
I am fluent in Python, JavaScript, and C++, with a deep focus on Neural Networks (CNNs, Transformers) and model optimization. Ultimately, my goal is to combine critical thinking with technical precision to deliver exceptional digital work. If you are looking for an engineer who can bridge the gap between advanced AI research and production-ready applications, let’s connect.
