Research systems
Human–AI research platform
Turning experimental requirements into a platform for research and structured data collection.
Engineering / Research / Applied ML
Systems I've helped build, methods I've worked with, and how I approach evaluation.
Research systems
Turning experimental requirements into a platform for research and structured data collection.
Applied machine learning
Training and evaluation pipelines for comparing adaptation methods across repeated experiments.
Software engineering
A team-built platform for authenticated campus resource workflows, with contributions to backend APIs and integration testing.
Multilingual NLP
Fine-tuned multilingual encoders and separately evaluated zero-shot language-model baselines on Hindi–English code-mixed text.
Applied data science / Fall 2025
A workflow on 742 cleaned Glassdoor job listings, combining PyCaret model comparison, XGBoost, SHAP interpretation, MLflow tracking, and Streamlit.
Source code ↗Statistical modeling / Spring 2025
Regression and single-holdout evaluation across 1,994 U.S. communities, with a Streamlit app for descriptive exploration. Associations are observational, not causal.
Source code ↗