Machine Learning Computer Science

*** ***** ***,

Lewisburg PA ***** An Xuan Ngo

272-***-****

******@********.***

www.linkedin.com/in/an-x-ngo/

Education

Lewisburg, PA Bucknell University Expected grad: May 2026

• B.A in Computer Science, B.A in Mathematics, Bucknell University

• Computer Science Major GPA: 4.0.

Work Experience

ML Intern FPT Software Jun 2023 – Dec 2023

• Addressed the robotic bin-picking problem in manufacturing chains using machine learning on point cloud 3D image to segment small constructing parts.

• Enhanced object segmentation model’s accuracy and computing time by applying Delaunay Filtering to 3D point clouds.

• Achieved success picking rate of 98% on 10GB data of 5 object types: plastic T pipe, C pipe, metal T pipe, C pipe and screws.

Undergraduate Researcher University of California Berkeley Feb 2023 – May 2023

• Implemented time series machine learning to predict night-time ecosystem respiration using 7 years data from 2 sites US-SRM and US-SRG.

• Achieved 5% better respiration predictions in terms of RMSE compared to traditional methods metric using time-series models with environmental features derived from Random Forest model. Undergraduate Researcher Bucknell University Sep 2022 – Present

• Ultilized Deep Generative models Conditional GAN and VAE to generate synthetic attacks to data-driven signature ver- ification models, resulting in False Acceptance Rates by 25% across three signature datasets, revealing models’ vulnera- bilities against Deep Generative attacks.

• Enhanced robustness of the verification models by retraining with the generated images, resulting in reducing Deep gen- erative attacks’ success rates to less than 1%.

• Uncovered a critical correlation between Structural Similarity Index of generated images and attack success rates, paving the way for metric-tuning generation to control attack success rates. Software Engineer SEATECH JSC Jun 2021 – Aug 2021

• Developed a Flutter-based app for customers applicants to apply and track standardized English tests.

• Deployed 15 app features linked with local database, mobile apps (phone, mail, camera), and online back-end server. Publications

• Ngo, X. A., MinhPhuong Cao, Rajesh Kumar, ”Deep Generative Attacks and Countermeasures for Data-Driven Offline Signature Verification” https://arxiv.org/abs/2312.00987

• X. A. Ngo, N. M. Nguyen, Q. D. Nguyen, V. K. Solanki “Hybrid model seasonal arima-LSTM for prediction water level in Black River on the Border Vietnam-China” Computational Intelligence in Machine Learning. Lecture Notes in Electrical Engineering, vol 834, 2022.

• T. H. Y. Truong, X. A. Ngo, Q. D. Nguyen, V. K. Solanki “Multi-input LSTM for water level forecasting in Black River at the border of Vietnam-China,” 2021 IEEE International Conference on Machine Learning and Applied Network Technologies (ICMLANT).

Languages and Technologies

• Programming languages: C++, Flutter, Python, Java, SQL (Oracle database), Dart, Pytorch, Tensorflow, R.

• Technical skills: Machine learning, Computer Vision, Generative AI, NLP, RAG, IBM Watsonx, Research, Mobile, IOS- Android dev, Databases, Scrum, LaTeX,

• Developer tools: VS code, Android Studio, Google Collab, Git, IntelliJ IDEA, Unix/Linux.

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