Career Profile
AI/ML Engineer & PhD Researcher with strong academic foundations including an 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.
Experiences
- 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 (CNNs, LSTMs, Transformers, and emerging visual language models).
- Collaborating with interdisciplinary teams to integrate ML solutions into practical research problems.
- 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.
- 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.
- 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.
Publications
Special Issue "Information Extraction and Language Discourse Processing" Information 2024, 15(8), 500
Artificial Intelligence Applications and Innovations. AIAI 2024. IFIP Advances in Information and Communication Technology, vol. 711. Springer, Cham.
Special Issue "Machine Learning Applications in Seismology" Appl. Sci. 2023, 13, 10884
2021 16th International Workshop on Semantic and Social Media Adaptation & Personalization (SMAP), 2021, pp. 1-4