resume

Master

University of California, Berkeley

Information and Data Science

Bachelor of Science

University of California, Berkeley

Mechanical Engineering

Principal Research Scientist

Autodesk

Researching machine learning applications in data-driven design using LLMs, VLMs, and GNNs. Collaborating with MIT, UC Berkeley, and CMU on datasets and benchmarks.

Sr. Research Engineer

Autodesk

Focused on combining mechanical engineering with machine learning, leveraging knowledge graphs and semantic technologies to extract best practices from CAD data.

Design Engineer

Autodesk

Worked on generative design platforms, creating demonstrators and integrating end-user feedback into development.

Additive Manufacturing Engineer

Project BAM

Streamlined additive manufacturing processes, designed facility layout, and supported customer part redesign for AM.

ARCS | AI-assisted Knowledge Graph Design

• Machine Learning (ML)
• Graph Neural Networks (GNN)

Autodesk, Project Dreamcatcher | NASA JPL Lander

• Topology Optimization
• Simulation
• Design and Manufacturing

Designqa: A multimodal benchmark for evaluating large language models’ understanding of engineering documentation

Journal of Computing and Information Science in Engineering

Evaluating large language models for material selection

Journal of Computing and Information Science in Engineering

HG-CAD: hierarchical graph learning for material prediction and recommendation in computer-aided design

Journal of Computing and Information Science in Engineering

Elicitron: An LLM agent-based simulation framework for design requirements elicitation

arXiv

Conceptual design generation using large language models

ASME IDETC/CIE