Adrianos Botsios

Researching scalable data labeling and curation strategies for vision-language-action models in robotics, with a focus on real-world deployment and high-impact applications. Leading an interdisciplinary team working on structured multimodal datasets for emotion-aware robotic systems, while engaging with practical data and deployment challenges.

Worked on applied machine learning problems across healthcare and recommendation systems, including a breast cancer detection model using dimensionality reduction and ensemble methods, and a movie recommendation system built on statistical modeling and matrix factorization.

Worked at the intersection of AI and policy, contributing to discussions on balancing innovation with ethical and regulatory frameworks. Provided input toward the Convention on Artificial Intelligence, Human Rights, Democracy, and the Rule of Law, with a focus on responsible deployment and long-term societal impact.

Worked across both software and robotics systems, building a full-stack IoT platform for smart home automation and improving object detection models for industrial robotics, including integration into a live production environment.

Developed an NLP system to analyze Greek-language customer feedback and extract satisfaction signals, supporting internal business intelligence efforts, while contributing to product development and team coordination.

Building systems that allow businesses to automate operations through AI agents, from communication and data entry to full workflow execution. Focused on making automation practical, deployable, and aligned with real business processes.

Created and led a multi-year initiative bringing AI education and ethics into public schools through curriculum development and hands-on AI labs. Reached over 12,000 students and collaborated with research institutions and international organizations.

Led a 23-member team focused on applying AI and robotics to real-world problems. Raised funding, built working systems, and developed both hardware and software across projects, emphasizing complete, end-to-end solutions.

Led a 21-member team centered on sustainability and technology, designing and engineering large-scale smart city models integrating AI, IoT, and renewable energy systems. Raised over €10,000, published work on the project, and collaborated with local municipalities to explore real-world implementation.

Participated in a competitive accelerator program focused on building ventures from the ground up, developing and pitching an AI-powered grading and feedback platform that placed first in the final competition.