Research

My research interests lie at the intersection of Software Engineering and Artificial Intelligence. I investigate how to integrate Generative AI into software development workflows by exploring novel ways to create high-quality synthetic data for code LLMs, AI software agents, and LLM powered systems. In previous years, I studied software engineering practices, centering on the analysis of software development meetings. I keep actively contributing to this line of research too.

Education

I received my Ph.D. in Software Engineering from UC Irvine in 2022. At UCI, I joined SDCL and worked under the supervision of Prof. André van der Hoek. I was a recipient of the Rosalva Gallardo Valencia Award (2021), the Miguel Velez Scholarship (2017, 2019, 2022), and I was one of the Latino Excellence and Achievement awardees in 2021.

Service

• Organizing Committee Member: CHASE 2024, CHASE 2023
• Program Committee Member: Designing 2024, CHASE 2023, MSR 2021 (shadow program), ICSE 2025 (shadow program), SEIP 2025 , Designing 2025, ICLR 2025

Recent Publications

• Power Scheduler: A Batch Size and Token Number Agnostic Learning Rate Scheduler (Under submission)
• Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks (Accepted EMNLP 2024)
• Granite Code Models: A Family of Open Foundation Models for Code Intelligence (Technical Report)
• API Pack: A Massive Multi-Programming Language Dataset for API Call Generation (Under submission)
• Recurring distributed software maintenance meetings: toward an initial understanding
• KNOCAP: capturing and delivering important design bits in whiteboard design meetings

For a full list of publications, please check my Google Scholar profile.

Active Research Topics

• AI Software Agents
• Synthetic Data with and for LLMs
• Software Development Meetings
• KNOCAP

Languages

• English (fluent)
• Spanish (native speaker)