Bowen Zhang

张博文

Physics & Computer Science double major at Vanderbilt, with industry experience in ML engineering and a research background in computational physics.

Open to research opportunities

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// About

I'm a Physics & Computer Science double major transferring to Vanderbilt University this fall, with industry experience building ML-powered enterprise tools at Lenovo and a research background in computational hydraulics.

My interests sit at the intersection of physics and computing — from Kalman filters on raw sensor data to RAG-based LLM platforms in production. I'm drawn to problems where first-principles modeling meets real-world data.

// Education

Aug. 2026 — 2029

Vanderbilt University

B.S. in Physics & Computer Science (Double Major)

College of Arts & Science · Transfer · Expected May 2029

2025 — 2026

UC Santa Barbara

Undergraduate Studies

Mechanics · Fluid Mechanics & Thermodynamics · E&M · Multivariable Calculus · Linear Algebra · Differential Equations · Data Structures & OOP (C++)

// Experience

Jun. 2026 — Now

Lenovo Group

Machine Learning Intern · Beijing HQ

Extended an enterprise LLM quality-analysis platform built on LangChain-Chatchat: integrated the web frontend with the RAG backend — API proxy, JWT auth, knowledge-base upload, streaming chat, and session restore.
Redesigned the analysis workflow from tool-driven menus to a problem-driven investigation flow across SPC, statistical, and ML modules; fixed data ingestion for real engineering spreadsheets.

2023 — 2025

Nanjing Hydraulic Research Institute

Research Assistant Intern

Preprocessed large-scale flume experiment datasets for ANN modeling pipelines; validated simulation outputs against physical measurements.

// Projects

Computational Physics

Motion Tracker

Discrete Kalman filter built from first principles to estimate position and velocity from noisy pendulum video. Achieved ~90% jitter reduction, validated by recovering g ≈ 9.8 m/s². Presented to Prof. Clifford V. Johnson (UCSB) and industry engineers at CES 2026.

Python OpenCV Kalman Filter

View on GitHub

★ Best Data Visualization · UCSB Datathon 2026

PDE Epidemic Simulation

Infrastructure lead for a high-performance Rust environment running nonlinear PDE solvers, plus an API data-ingestion pipeline for COVID-19 spread modeling.

Rust PDE Solvers Data Viz

Agent

Spongent

An intelligent agent that discovers and recommends videos based on user preferences and content analysis.

View on GitHub

// Honors

★ Best Data Visualization — UCSB Datathon 2026

★ National Second Prize — National Youth UAV Competition (CSAA, 2022), flight systems integration

// Skills

Languages

Python (NumPy, OpenCV)
C++
Rust
Go
MATLAB
SQL

AI / ML

RAG Pipelines
LangChain-Chatchat
Kalman Filtering
ANN Modeling
PDE Solvers

Tools

Git / GitHub
Linux
LaTeX
Docker

// Contact

Interested in research collaborations, ML engineering roles, or just connecting — feel free to reach out.

bowen.zhang@vanderbilt.edu timothyzhbw@gmail.com