Education
- M.S. in Computer Science, University of Southern California, 2024
- B.S. in Computer Science, Rensselaer Polytechnic Institute, 2022
Work experience
- Summer 2023: Research Assistant, USC Information Sciences Institute
- Developed a prediction pipeline with a GPT-based crawler for forecasting news narratives, analyzing information flow across both social media and traditional news outlets at a scale of millions of data points
- Implemented knowledge graph models and graph neural network (GNN)-based models to predict the evolution, dissemination, and impact of news narratives and claims, contributing to more informed decision-making in media analysis.
- 2021-2022: Undergraduate Researcher, RPI PandA Lab
- Conducted research on biologically and neurally inspired strategies for depth sensing and locomotion control in aerial robots
- Responsible for implementing a self-supervised learning algorithm in computer vision (optic flow, depth estimation, segmentation)
- Fall 2020: Software Engineer Intern, Machbase
- Implemented and debugged a new architecture for a multi-node cluster network in IoT time series DBMS
- Managed a daily run of test suites consisting of 5000+ test cases via Jenkins
- Designed a new automated QA testing system for faster DevOps and
- Accomplished a new release one month earlier than the planned milestone (25% reduction
Skills
- Programming Languages
- Frameworks & Libraries
- PyTorch, Keras, Docker, OpenCV, DGL, Hugging Face, ROS
- DevOps