Research
AI Politician
2024 - Present
Developing an AI-powered political debate simulation system that leverages large language models and retrieval-augmented generation to generate and evaluate policy positions in real time. Research focuses on discourse generation, bias mitigation, and quantitative evaluation of argument quality.
AI in Infant Motor Development Analysis (SIPPC)
2021 - 2022
Using the SIPPC dataset of 500+ infant movement recordings to train machine-learning models that predict motor development milestones. Combines computer vision, time-series analysis, and explainable AI techniques to aid early pediatric intervention.
Job Market Trend Analysis
2022
Processed 29k+ job records using machine learning models for trend prediction and built a React/Flask dashboard with interactive visualizations, reducing data processing time by 35%.