LLM Fine-Tuning, LoRA, and Alignment Workflows
Invited speaker delivering a technical seminar on parameter-efficient fine-tuning (LoRA/QLoRA), alignment pipelines, and evaluation benchmarks to 250+ enterprise engineers.
Aug 12, 2026
Predictive Natural Language Metrics of Alzheimer’s Disease and Cognitive Decline Trend Analysis
Master's thesis on developing resource-efficient and explainable natural language metrics to quantify risk and predict longitudinal trends of Alzheimer's Disease.
May 1, 2026
Language-based personality assessment from life narratives: a focus on model interpretability and efficiency
Investigates language-based personality assessment from long life narratives (>2000 tokens) focusing on parameter efficiency and attention-based interpretability.
Feb 10, 2026
Personality Prediction from Life Stories using Language Models
This study leverages NLP techniques for personality assessment using text data (narrative interview) > 2000 tokens, proposing a hybrid approach integrating contextual embeddings and RNNs for efficient handling of long-range dependencies, enabling improved accuracy, efficiency, and interpretability compared to state-of-the-art models like LLaMA and Longformer.
Aug 25, 2025
A Recommender System Architecture for University Curriculum Advising
This study proposes a goal-based agent recommender system for undergraduate students using a large language model, tailored to curriculum requirements, prerequisites, and student preferences. The system optimizes course selection, streamlines degree path exploration, and predicts enrollment metrics, reducing advisor workloads and promoting academic engagement, ultimately enhancing student success and increasing the overall academic achievement of the student body.
May 28, 2025