AI & R&D Engineer (PhD) | Deep Learning, Custom LLMs & Predictive Modeling

I am an R&D Specialist and Engineer (PhD) with extensive expertise in artificial intelligence, deep learning, and complex data processing. My background bridges electrical/electronics engineering and biomedical data analysis, utilizing advanced technical stacks (Python, PyTorch, TensorFlow) and High-Performance Computing (HPC) environments. Recently, my focus also includes developing domain-specific Large Language Models (LLMs) and chat-based analysis systems.

What I can offer to a consortium:

AI & Predictive Modeling: Expertise in processing time-series and complex sensor data using advanced deep learning architectures (CNN, LSTM-FCN, TST). These skills can be directly adapted to predictive maintenance, energy optimization, and smart manufacturing processes within clean-tech projects.

Custom NLP & LLM Solutions: Ability to design and implement domain-specific language models and automated analysis systems to streamline large-scale industrial, regulatory, or scientific data processing.

Scientific Rigor & R&D: Strong capacity for algorithm development, academic writing, and scientific validation to support the technical work packages of Horizon Europe proposals.

Multidisciplinary Hardware & 3D Printing Interest: A strong drive to apply AI and engineering principles to socially impactful, low-cost hardware projects, including 3D printing applications. I am actively looking to collaborate with material scientists and manufacturing experts for sustainable production initiatives.