people

I’m a Software Engineer and Data Scientist with a deep passion for building intelligent systems that solve real-world problems. My expertise spans Artificial Intelligence, Natural Language Processing (NLP), Data Engineering, and Distributed Systems. I specialize in designing and deploying end-to-end machine learning pipelines and AI-driven solutions—from raw data ingestion to model deployment in production environments.

I’m currently embarking on a PhD in Cloud-Based Distributed Systems, where I’m exploring how intelligent agents and scalable architectures can transform software engineering and data-intensive applications. My research interests lie at the intersection of multi-agent systems, automation, and cloud-native design.

Over the years, I’ve led and contributed to several projects involving large-scale data platforms, recommender systems, and LLM-based architectures, often combining cutting-edge open-source tools with robust engineering practices.

Beyond the technical, I enjoy mentoring, teaching, and collaborating with interdisciplinary teams to push the boundaries of what’s possible with AI and data. I’m always looking for meaningful collaborations, challenging problems, and opportunities to turn innovative ideas into impactful solutions.

I’m a Software Engineer and Data Scientist with a deep passion for building intelligent systems that solve real-world problems. My expertise spans Artificial Intelligence, Natural Language Processing (NLP), Data Engineering, and Distributed Systems. I specialize in designing and deploying end-to-end machine learning pipelines and AI-driven solutions—from raw data ingestion to model deployment in production environments.

I’m currently embarking on a PhD in Cloud-Based Distributed Systems, where I’m exploring how intelligent agents and scalable architectures can transform software engineering and data-intensive applications. My research interests lie at the intersection of multi-agent systems, automation, and cloud-native design.

Over the years, I’ve led and contributed to several projects involving large-scale data platforms, recommender systems, and LLM-based architectures, often combining cutting-edge open-source tools with robust engineering practices.

Beyond the technical, I enjoy mentoring, teaching, and collaborating with interdisciplinary teams to push the boundaries of what’s possible with AI and data. I’m always looking for meaningful collaborations, challenging problems, and opportunities to turn innovative ideas into impactful solutions.