Nolan W. Platt

How can we make AI/ML systems more safe, trustworthy, and scalable? How can we reduce the cost of inference in language models while maintaining accuracy and trust? How can we effectively use language models in mission-critical domains?

My name is Nolan Platt, and I seek to answer the above questions rigorously and defensibly through my research. I am a senior at Virginia Tech studying Computer Science.

Currently, I am the Chief Technology Officer at Oaklet in Berkeley, California. I am leading the R&D of an agentic AI ecosystem for a proprietary EHR platform, which I also spearheaded the development of. Previously, I was a Data Science Intern at Hitachi Vantara Federal in Washington D.C., where I focused on machine learning for the federal government.

news

Oct 10, 2025	Presented at IEEE VL/HCC 2025. Slides here.
Sep 15, 2025	My paper on mission-critical SLMs has been accepted to the IEEE International Conference on Foundation and Large Language Models (FLLM) in Vienna, Austria!
Aug 20, 2025	TAing CS 3114 (Data Structures & Algorithms) for Fall 2025.
Jul 31, 2025	Joining Berkeley-based startup Oaklet, Inc. as a Founding Engineer.
Jul 18, 2025	My paper on LLM-driven usability evaluations has been accepted to IEEE VLHCC 2025 in Raleigh, N.C.!
May 16, 2025	Named to President’s List for Spring 2025.
May 14, 2025	Joining Hitachi Vantara Federal as a Data Science Intern!
May 06, 2025	Received the VTCS 2025 Service Award
May 05, 2025	Received the VTCS 2025 David Heilman Research Award
May 02, 2025	Won Best Poster at VT CoE Interdisciplinary Symposium
Apr 22, 2025	Poster accepted to VTURCS Symposium
Apr 22, 2025	Invited to be an Ambassador for the Office of Undergraduate Research for 2025-2026
Apr 14, 2025	Poster accepted to Dennis Dean Conference
Mar 04, 2025	Invited to talk at CHCI Big Idea Workshop
Feb 20, 2025	Short paper accepted to ACM CAPWIC

selected publications

IEEE VL/HCC

Catching UX Flaws in Code: Leveraging LLMs to Identify Usability Flaws at the Development Stage

Nolan Platt, E. Luchs, and Sehrish Nizamani

In Proceedings of the 2025 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC), 2025

Bib

@inproceedings{platt2025catching,
  title = {Catching {UX} Flaws in Code: Leveraging {LLMs} to Identify Usability Flaws at the Development Stage},
  author = {Platt, Nolan and Luchs, E. and Nizamani, Sehrish},
  booktitle = {Proceedings of the 2025 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)},
  pages = {},
  year = {2025},
  month = {},
  publisher = {IEEE,},
}

IEEE FLLM

Multi-Model Synthetic Training for Mission-Critical Small Language Models

Nolan Platt and Pragyansmita Nayak

In Proceedings of the Third International Conference on Foundation and Large Language Models (IEEE FLLM), 2025

arXiv Bib

@inproceedings{platt2025multimodel,
  title = {Multi-Model Synthetic Training for Mission-Critical Small Language Models},
  author = {Platt, Nolan and Nayak, Pragyansmita},
  booktitle = {Proceedings of the Third International Conference on Foundation and Large Language Models (IEEE FLLM)},
  year = {2025},
  publisher = {IEEE,},
}