Experience

  1. PhD Research Intern in LLM agents

    Johnson & Johnson (Innovative Medicine)
    Applied generative AI, NLP, and computer vision techniques to large-scale biomedical data. Designed LLM-based agent systems and retrieval-augmented generation (RAG) pipelines for clinical and research data, and developed evaluation frameworks combining automated metrics and expert feedback to assess model reliability and performance.

  2. PhD Researcher in Machine Learning and Computer Science

    ETH AI Center
    Developed deep learning models for regression and classification problems with multi-modal data, tackling challenges of limited data availability through self-supervised learning. Engineered scalable ML pipelines, reducing computation time from 30 days to 1 day (30x improvement). Technologies used: Python, Git, Cuda, GPU/CPU, Matlab, Hugging Face, Docker, Diffusion and Generative Models, NLP, Dimensionality Reduction (PCA), Computer Vision.

  3. Research Assistant in Neural Networks and ML

    Frankfurt Institute of Advanced Studies
    Optimized data science pipelines to process large-scale time series datasets with improved efficiency. Technologies used: Python, C/C++, Julia.

  4. Working Student in Engineering

    Fresenius Medical Care
    Designed and implemented SQL-based data management solutions for 4 teams. Developed a department-wide website and optimized data handling workflows. Technologies used: SQL, HTML, SDKs, APIs.

  5. Intern in Software Engineering

    Deutsche Bank AG
    Built an automated data analysis pipeline for 100,000+ customers to streamline financial reporting. Assisted in migrating 2 teams to Agile methodologies, optimizing data processing workflows. Technologies used: SQL, R, Jira, SDKs, APIs.

  6. Working Student in Research

    Frankfurt School of Finance & Management
    Collected and analyzed finance and marketing data to support faculty research projects.

Education

  1. PhD Computer Science (AI Focus)

    ETH AI Center (ETH Zurich)
    Supervisors: Luc Van Gool, Benjamin Grewe; affiliated to Computer Vision Lab and Institute of Neuroinformatics

  2. BS and MS Computer Science

    Goethe University Frankfurt
    GPA: 4.0/4.0 Exchange semester at Sapienza University Rome – Focus: Robotics and AI Taught as teaching assistant courses in SDKs, Data Structures, Algorithm Design, Python, and SQL Specialized in machine learning and robotics. Minored in Mathematics.
Skills & Hobbies
Technical Skills
Programming

Python, C++, Matlab, SQL, R, Julia, C, Haskell

Libraries

numpy, PyTorch, Tensorflow, multimodal, scipy, scikit-learn, matplotlib, OpenCV

Other tools

git, cuda, make, cmake, Jupyter, UNIX/Linux, VSCode, bash, Xcode, Latex, SDKs, APIs, Hugging Face, Docker, Parallel Computing, HPC, GPU/CPU

Hobbies
Spikeball, Standup Paddle
Creating games for friends
Trying out new cooking recipes
Dogsitting
Awards
Travel Grant for Summer Schools
Kavli Institute ∙ July 2022
Funded participation in international summer schools during PhD studies (July–August 2022), supporting advanced training in machine learning and neuroscience.
University Scholarship
German National Merit Foundation (Studienstiftung des deutschen Volkes) ∙ January 2016
Awarded by the oldest and most prestigious scholarship organization in Germany (top 0.4% of students) for exceptional academic excellence and societal engagement. Attended 30+ seminars and summer schools on Applied Machine Learning, Ethics in ML, Interdisciplinary Life Sciences, and Politics.
University Scholarship
Heinrich-Böll Foundation ∙ October 2015
Received long-term funding for 7 years of university studies. Participated in interdisciplinary programs on sustainability, politics, and science communication.
High School Scholarship
Hertie Foundation ∙ August 2012
Awarded 4-year scholarship for outstanding academic performance and leadership potential. Participated in 25+ seminars and summer schools on Politics and Sciences.
Languages
95%
English
100%
German
75%
Vietnamese