AI/ML Researcher & Engineer
Improving activation steering vectors by formalizing constructive and destructive features to revert entangled features with negative side effects.
Accepted to RAISE Winter ExpoComprehensively selecting LLM sizes for small datasets based on token length and number of examples, improving on existing work.
Submitted to ICLR 2025 WorkshopExploring hybrid quantum algorithms to accelerate n-body simulations with applications in astrophysics and molecular dynamics.
Accepted to QCNC 2025 (Oral Presentation)Proposing a novel reinforcement learning-based optimization framework for training LLMs with limited data.
Targeting NeurIPS 2025Improving chat bias benchmarks with innovative transformer steering methods for more robust and fair AI systems.
Targeting NeurIPS 2025Currently involved in 7+ ongoing research initiatives spanning mechanistic interpritability, alignment, control, and large-scale ML systems.
Various stages