Experience

May 2025 — Present

Computer Vision Research Intern

Cornell Tech

• circle Received $7000 grant from Cornell CIS for research on the application of CV and ML models in clinical settings.
• circle Built full-stack web app via FastAPI/PyTorch for emotion detection, using model inference with dynamic frontend.
• circle Achieved a 35% accuracy gain in chart captioning by fine-tuning a vision-language model on modest lab hardware.

May 2024 — Aug 2024

Computer Graphics Research Intern

University of Colorado

• circle Used Open3D voxel downsampling to 5 mm, decreasing clouds from 1.0M to 120k points with 2 cm RMSE.
• circle Developed code to generate 3D assets with Stable Diffusion and reducing load time to <120 ms for VR interaction.
• circle Computed normals in PCL on 200k point clouds and improved ICP convergence from 69% to 91% in 50 trials.

May 2023 — Aug 2023

Data Science and Analytics Intern

Platt Park Capital

• circle Quantified behavioral healthcare gaps across 3,000 U.S. counties using XGBoost model on CMS/SAMHSA claims.
• circle Model insights triggered a $2M pivot into Mountain West clinics, reshaping the firm’s healthcare investment thesis.
• circle Created investment dashboard to automate performance tracking across 11 holdings using Python and PostgreSQL.

Oct 2021 — Aug 2022

Computational Chemistry Research Aide

University of Colorado

• circle Collaborated with grad students on a GQME model, contributing to regression model with R² = 0.72 on test data.
• circle Presented two, 30 minute department wide presentations on the derivation of the ‘GQME’ to an audience of 40+.