Engineering Intern Machine Learning

Owen Chen

919-***-**** ****.****@****.*** www.linkedin.com/in/owen-chen2006 https://github.com/OwenChen2006 Education

Duke University Durham, NC

Bachelor of Science in Engineering Expected May 2028

• Double Major in Electrical and Computer Engineering and Computer Science — GPA: 3.7/4.0

• Relevant coursework: Data Structures and Algorithms, Computer Architecture, Linear Algebra, Fundamentals of Electrical and Computer Engineering

Experience

Undergraduate Researcher January 2025 – Present

The Wang Lab @ Duke University Durham, NC

• Leading ML sub-team by applying ML/LLMs to analyze data for material optimization in atomic layering.

• Built an automated Python pipeline for signal processing, feature engineering, and REST API-based model evaluation on the Raman Spectrum.

Machine Learning Engineering Intern June 2025 – September 2025 Calidar Medical Durham, NC

• Developed AI algorithms to triple the rate of breast cancer detection through XRD imaging. Engineered a spatially-aware cancer classifier trained on 800K+ data points, reaching 0.99 ROC AUC and accuracy scores (above medical benchmarks).

• Narrowed from 3K+ VCs/investors to 38 fitting company specifications with Pytorch model. Semiconductor Fab Intern June 2023 – September 2023 Energen Semiconductor (Private Semiconductor Company) Jinan

• Executed semiconductor fabrication workflows, using a Scanning Electron Microscope to identify nanoscale defects and optimize chip yields.

• Analyzed and organized two months of fab data, streamlining wafer inventories by eliminating non-qualifying batches, boosting throughput.

Quantum Convention Coordinator September 2022 – June 2023 Quantum Revolution Assembly Convention (QRACON)/Entangletech Taipei, Taiwan

• Organized the first large-scale student quantum convention for 310+ students from 20+ high schools and university professors and coordinated 10+ sponsorships and pre/post event data. Projects

Blue Devil Eats Python, Javascript, React, Flask January 2025 – Present

• Created an AI-driven full-stack web application that leveraging NLP models and a custom Python/Flask backend to generate personalized meal plans from real restaurants with interactive nutrition insights. Custom MIPS-based Processor Core Logicism Evolution March 2025 – April 2025

• Engineered a 16-bit MIPS-style RISC processor in Logisim Evolution, featuring a custom ALU, tri-state-buffered register file, word-addressed memory architecture, and integrated I/O for keyboard and TTY display. Detection Efficiency Loophole Mitigation Python, Qiskit April 2023 – October 2023

• Designed a quantum algorithm to close the detection efficiency loophole in Bell test experiments, achieving a record-low percent error of 0.000109 at optimized measurement angles.

• Validated results on both IBM quantum hardware and simulators, culminating in a peer-reviewed publication at QIP 2024.

VLSI Quantum Optimization Python, Qiskit June 2022

• Won 2nd place by developing an optimized Very Large-Scale Integration (VLSI) placement quantum algorithm at a national IBM-NTU hackathon.

• Doubled efficiency from traditional NumPy Eigensolver with varied quantum algorithms. Technical Skills

Languages: Java, Python, C/C++, Assembly Language

Developer Tools/ Skills: Pytorch, Git, Google Cloud Platform, VS Code, Arduino, Excel, Tensorflow, Google Colab, React, Arduino, AutoCAD, Logicism Evolution, NumPy, Pandas, Scipy

Contact this candidate