π Iβm a PhD Student in π» Computer Science at Worcester Polytechnic Institute (WPI), where I specialize in βοΈ Distributed Quantum Computing and Quantum Cloud technologies.
I have a background in π¨βπ» Computer Science and Engineering, blending industry experience in π DevSecOps and βοΈ cloud environments with academic research in π§ NLP and π€ LLMs. At the ποΈ Pyrenean Institute of Ecology (IPE-CSIC), I applied these methods to extract structured information from π climate-related news. Iβm currently pursuing a π Masterβs in Artificial Intelligence Research with a specialization in π Data Science.
Outside of research, I like to stay active by πββοΈ exercising regularly, playing βοΈ chess, exploring new technologies, and spending time outdoors π³ with friends, especially when it leads to good conversations.
Recent Updates
- π§βπ« Workshop (July 23, 2025): I presented a workshop on Structured Information Extraction using Large Language Models to my colleagues at the Pyrenean Institute of Ecology. The workshop covered technical details of using LLMs for extracting structured data from unstructured text. You can find the workshop materials in the GitHub repository.
- π PhD Announcement (July 15, 2025): Starting Fall 2025, I will begin a PhD in Computer Science at Worcester Polytechnic Institute (WPI) with Prof. Tian Guo. I will work on an NSF-funded project in βοΈ quantum cloud computing, focusing on algorithms and resource management tools to make quantum computing more accessible. Read more
- π Conference Paper (February 6, 2025): Distributed Simulation with Efficient Fault Tolerance was published online as part of GECON 2024. The paper proposes a replication-based approach to fault tolerance in distributed simulation, achieving minimal overhead in cloud environments. You can read it here, and it is also listed in the Publications section of this website.