Timeline

Experience

I have worked across research, teaching, and production AI. What connects them is carrying a promising model into something people can use.

Current

Applied Scientist

Treverse LLC · September 2025 – Present · Nashville, Tennessee

Founding member of the Machine Learning Team.

I work across the full machine learning lifecycle on multiple projects and help build the core AI infrastructure.
I implemented a translation service in Go and deployed it on AWS.
I built a vision-based presort system for real-time barcode recognition.
I developed foundational AI infrastructure and recommendation systems from scratch.

AI Negotiation Lab @ Vanderbilt University · October 2023 – May 2025 · Nashville, Tennessee

I led end-to-end LLM research for negotiation science, from model design and experimentation through evaluation and deployment.
I built an LLM pipeline that automatically codes negotiation transcripts, reducing the per-transcript cost from $5,000 to $3, a savings of more than 99%, while increasing human–AI agreement from 30% to 80%.
I developed an algorithm that introduces population-level variation into LLM negotiator agents, producing more realistic and diverse subject pools for negotiation studies.
I worked closely with negotiation scholars and data science researchers across data engineering, modeling, and web deployment.
I presented the work at the 2025 AI Negotiation Summit at Harvard and MIT and at the International Association for Chinese Management Research annual meeting.

My research focused on a unified multimodal fusion framework spanning vision, graph, and language modalities.

Vision–Language: Refactored the LLaVA architecture to eliminate the projection pre-training stage. This reduced training time by 25% and halved the data requirement while maintaining comparable performance across nine benchmarks.
Graph–Text: Implemented a Temporal Graph Attention Network (TGAT)–LLM pipeline that generates high-quality textual attributes for social networks. Evaluated the approach on the Venmo Dataset and designed a follow-up evaluation for the Amazon Review Dataset.

Vanderbilt University · August 2024 – May 2025 · Nashville, Tennessee

I supported three courses through a Graduate Teaching Fellowship, organizing labs, creating quizzes, grading coursework, and hosting office hours.

Graduate courses:

Undergraduate course:

Vanderbilt University · October 2023 – January 2025 · Nashville, Tennessee

I improved ancient mortar classification accuracy from 60% to 97% by training Vision Transformers on 10 million images.
I developed a vision-only provenance algorithm that reduced similarity-analysis runtime from months to minutes. At the time of the original project write-up, a manuscript describing the work was in preparation.

Vanderbilt University · August 2023 – October 2023 · Nashville, Tennessee

I tutored statistics and graded coursework for Econometrics I in the Master of Finance program.

Suzhou AGV Robot Co. Ltd. · June 2022 – April 2023 · Suzhou, Jiangsu, China

I worked across machine learning applications and efficient data analysis for automated guided vehicles.

I optimized the end-localizer program in ROS and deployed it to new products.
I developed a computer vision system in OpenCV and PyTorch to determine whether two shelves were aligned.
I built an end-to-end storage-status detection system covering data collection, labeling, model training, deployment, database design, communication with the warehouse control system, and a front-end interface. The system used Roboflow, Django, Redis, Celery, PyTorch, and ONNX to aggregate and update results in real time under constrained compute resources.