Experience

Student Research Intern, AI/ML for Biomedical Imaging

Deep learning for ocular signal and image analysis. Built preprocessing, feature extraction, and sequence-modelling pipelines for vertical EOG data.

Contributions

• Built preprocessing, feature extraction, and sequence modelling pipelines for vertical EOG data.
• Implemented BiLSTM architectures for blink-phase segmentation across normal and dry-eye cohorts.
• Ran model validation and statistical analysis. Wrote up the results for ARVO 2026.

Econometrics and Applied Research Intern

Applied econometrics on confidential macro-financial and institutional datasets, including panel regression and time-series methods.

Contributions

• Panel regression and time-series methods on macro-financial panels.
• Statistical inference, robustness checks, and empirical validation in Python.
• Contributed to draft research outputs through quantitative modelling and documentation.

AI/ML & Research Intern

LLM input/output validation and adversarial testing for enterprise security settings.

Contributions

• Designed an input/output validation pipeline for enterprise LLMs covering intent classification, keyword filtering, and sentiment-aware response controls.
• Evaluated model behaviour under adversarial and edge-case prompts to improve compliance posture.
• Worked with security analysts to align outputs against legal, ethical, and operational risk constraints.