About Me
I am a Data Science graduate student at the University of California, San Diego. I'm currently working on differentiable climate simulators at the Climate Analytics Lab, UCSD
At Simpl, I worked on collections and Anti-Fraud systems. During my internship at IBM Research, I developed an LLM-based log classification pipeline.
I love solving complex problems, I'm currently exploring several different fields in the AI4Science umbrella, and I am always eager to learn and apply new technologies to see interesting results.
Resume
For a detailed overview of my experience, education, and skills, please view my full resume.
View Resume (PDF)Projects
Unsupervised Person Re-Identification
Built pairwise semantic similarity scoring and non-parametric GCN to improve unsupervised person re-identification.
Climate Risk Modeling for Fiji Dev. Bank
Modeled climate events as shock variables in a Monte Carlo simulation to forecast loan portfolio risk under lean-data conditions.
Covid Time Series Analysis
Analyzed COVID-19 death data and visualized seasonality trends using Python time-series methods.
Publications
Comparative Analysis and Fine-Tuning of Deep Learning Architectures for Unsupervised Person Re-Identification
Quantum Computing: Comparing Standard Algorithm Performance, Applications and Relevance of Digital Twins in Healthcare
First Author | ICTIS 2025 (Springer LNNS)
View PublicationGet in Touch
I'm always open to discussing new projects, research collaborations, or opportunities. Feel free to reach out!