2025, 'Applying Large Language Models API to Issue Classification Problem - Revisiting with Extended Data and New Models' accepted at Science of Computer Programming Journal.
2025, 'SkillScope: A Tool to Predict Fine-Grained Skills Needed to Solve Issues on GitHub' accepted at Natural Language Based Software Engineering - NLBSE, 2025.
2024, 'Predicting Attrition among Software Professionals: Antecedents and Consequences of Burnout and Engagement' accepted at ACM Transactions on Software Engineering and Methodology- TOSEM, 2024.
2023, Finalist of ICSE Student Competition, 2023.
Invited to join multiple international conference program committees such as ICSE 2026 Research Track, SBES 2025 Tools Track, etc.
Invited to review papers for multiple journals such as Automated Software Engineering, Empirical Software Engineering, etc.
Research Experience
Conducting research at Colorado State University, focusing on using large language model APIs for issue classification problems and more.
Education
Research Scholar at Colorado State University, specific degree, advisor, and time information not provided.
Background
Research Interests: Open Source Software, matching large scale knowledge models to improve the allocation of professionals to tasks. Knowledge Models are used to represent skills and expertise predictions employing large language models and transformers.
Miscellany
Hobbies and Volunteering: Volunteer activities; Received a scholarship from the National Science Foundation (NSF) (2019 - 2023).