Curriculum Vitae

Professional Experience & Academic Background

Andreas Avgoustis

Andreas Avgoustis

AI/ML Engineer & Researcher

CAREER PROFILE

AI/ML Engineer & Researcher with strong academic foundations including a MSc in Big Data Driven Networked Systems and ongoing PhD studies in Informatics. Specializing in Deep Learning, Computer Vision, and large-scale data processing. Experienced in designing, training, and deploying advanced neural architectures (CNNs, LSTMs, Transformers) for real-time and healthcare-focused applications. Strong engineering background with hands-on expertise in Python, PyTorch, TensorFlow, SQL, Spark, Docker, and cloud platforms. Published researcher with contributions in multimodal learning, text simplification, seismology signal processing, and medical image analysis. Adept at building end-to-end ML pipelines, optimizing performance, and translating research innovations into production-grade systems.

Greek (Native), English (Professional)
Experiences
May 2024 - Present
Machine Learning / AI Researcher (PhD Research)
Ionian University, Department of Informatics
  • Conducting research on deep learning, computer vision, and lip-reading AI, focusing on efficient model design and real-time inference.
  • Developing and optimizing ML architectures (CNNs, LSTMs, Transformers) using Python, TensorFlow, PyTorch, Keras.
  • Managing and analyzing large-scale datasets for healthcare applications using Python, SQL, and Spark.
  • Publishing peer-reviewed research in deep learning, computer vision, and visual language modeling, with work focusing on lip-reading AI, multimodal learning, and advanced neural architectures.
  • Designing experiments, benchmarking deep learning models, and evaluating performance across architectures.
  • Collaborating with interdisciplinary teams to integrate ML solutions into practical research problems.
Dec 2024 - Nov 2025
Computer Programmer
Research and Informatics Office, 8th Motorized Infantry Brigade
  • Managed and supported large-scale intranet and secure information systems, ensuring high availability, confidentiality, and data integrity.
  • Administered network infrastructure, including servers, routers, switches, and Cisco devices.
  • Installed, configured, and maintained computer systems and virtualized environments (VMware ESXi, VirtualBox).
  • Implemented and monitored information security policies, data backup strategies, and disaster recovery procedures.
  • Designed and deployed structured cabling and improved local network topology.
  • Provided 24/7 technical support to end-users, including hardware maintenance, troubleshooting, and issue resolution.
  • Deployed and supported IT systems during joint operations and large-scale exercises.
  • Automated repetitive administrative tasks through PowerShell and Java scripting.
  • Managed file servers, network shares, and secure data transfer processes.
  • Collaborated with multiple teams to ensure smooth IT operations and compliance with security standards.
Feb 2023 - Feb 2024
Business Intelligence Analyst
Association of Educational Caregivers of Corfu
  • Collected and analyzed data from the Association’s website and social media platforms to understand audience behavior and improve engagement.
  • Created simple dashboards and reports to help the team track communication results, event participation, and online visibility.
  • Set up an organized system for storing and updating information, making it easier to monitor activities and measure progress.
  • Worked closely with the management team to define goals and key metrics, turning data into insights that supported everyday decisions.
  • Used analytics tools to evaluate which types of content performed best and adjusted strategies to increase reach and effectiveness.
Jan 2021 - Jan 2023
Junior Data Analyst
Alfa Ekpaideutiki
  • Collected, organized, and analyzed website performance and engagement data using Excel and SQL to support content optimization decisions.
  • Collaborated with developers to implement PHP-based data tracking features and automate website updates.
  • Generated periodic analytical reports summarizing key performance metrics and trends for management review.
  • Developed insights to enhance user engagement and improve SEO strategy based on traffic analysis.
Education
May 2024 - Present
PhD Candidate in Informatics
Ionian University, Department of Informatics
  • Pursuing a PhD in Informatics, specializing in cutting-edge research in big data analytics and machine learning.
  • Research Focus: Enhancing the efficiency of algorithms and exploring innovative models and applications for lip-reading and voice reproduction.
  • Collaborating with interdisciplinary teams to foster innovative research.
  • Aiming to publish impactful papers and present findings at premier conferences.
  • Skills Honed: Big data and deep learning analysis. Proficient in managing and analyzing extensive datasets to derive meaningful insights and drive innovations.
Oct 2022 - Feb 2024
Master Degree (MSc) in Big Data Driven Networked Systems
Ionian University, Department of Informatics
  • Completed a Master’s degree with a strong focus on big data technologies and networked systems.
  • Key courses included: Big Data Technologies, Network Systems and Security, Advanced Data Mining and Machine Learning, Stochastic Analysis.
  • Capstone Project: Led the development of a scalable healthcare process management system using machine learning and deep learning with Python. Enhanced data handling capabilities significantly.
  • Achievements: Published research in "Information" Journal, "Artificial Intelligence Applications and Innovations (AIAI)", and "Applied Sciences".
  • Skills Acquired: Proficient in big data frameworks, advanced expertise in machine and deep learning, deep understanding of stochastic analysis, and practical experience through hands-on projects in ML healthcare systems.
Oct 2015 - Feb 2021
Bachelor Degree (BSc) in Informatics
Ionian University, Department of Informatics
  • Earned a Bachelor’s degree in Informatics with a broad learning experience in: Data Structures, Algorithms, Database Management, Computer Networks, Artificial Intelligence, and Web Development.
  • Capstone Project: Led the development of an image Melanoma classification model. Demonstrated advanced skills in machine learning applications.
  • Achievements: Published research on conference "2021 16th International Workshop on Semantic and Social Media Adaptation & Personalization (SMAP)".
  • Skills Acquired: Proficiency in full-stack Python development, strong foundation in ML/DL principles, advanced data visualization techniques, and enhanced analytical skills.
Publications
  • Optimization of Healthcare Process Management Using Machine Learning Avgoustis, A.; Exarchos, T.; Vrahatis, A.G.; Vlamos, P. IFIP AIAI (2024)
  • Bridging Linguistic Gaps: Developing a Greek Text Simplification Dataset Agathos, L.; Avgoustis, A.; Kryelesi, X.; Makridou, A.; Tzanis, I.; Mouratidis, D.; Kermanidis, K.L.; Kanavos, A. Information Journal (2024)
  • Identifying Earthquakes in Low-Cost Sensor Signals Contaminated with Vehicular Noise Agathos, L.; Avgoustis, A.; Avgoustis, N.; Vlachos, I.; Karydis, I.; Avlonitis, M Applied Sciences (2023)
  • Applied Deep learning for categorizing dermoscopic images A. Avgoustis; T. Exarchos; K. L. Kermanidis & P. Mylonas IEEE SMAP (2021)