AI/ML Engineer & Researcher with strong academic foundations, currently pursuing a PhD in Informatics and holding a MSc in Big Data Driven Networked Systems. I am dedicated to translating complex research innovations into production-grade systems that solve real-world challenges.
My expertise lies in Deep Learning and Computer Vision, with extensive experience in designing, training, and deploying advanced neural architectures like CNNs, LSTMs, and Transformers. I specialize in building end-to-end ML pipelines and optimizing performance for real-time applications, leveraging a technical stack that includes Python, PyTorch, TensorFlow and Docker.
As a published researcher, I have contributed to diverse fields such as medical image analysis, text simplification, and seismology signal processing. My work focuses on large-scale data processing and multimodal learning, specifically for healthcare-focused and real-time systems.
Programming languages, frameworks, and technologies utilized in my research and software development projects.
