Freelancer profile translated to English.
Back to original languageAbout Van Thai
Data Scientist with over 12 years of experience in delivering AI algorithms and production solutions in the fields of Natural Language Processing, Computer Vision, and Time Series Analysis. Possesses a strong background in mathematics and machine learning, with solid analytical thinking and problem-solving skills. Seeking opportunities in Data Science, Machine Learning, and Generative AI.
French
Fluent
English
Fluent
Vietnamese
Native or bilingual
Can work on-site
Paris (up to 50km)
Experience
- Huawei TechnologiesLead Data Scientist / Principal EngineerTECHSeptember 2019 - December 2023 (4 years and 4 months)Paris, FranceGathering and identifying business needs, conducting feasibility studies, and defining data use cases with internal and external clients. Contributing to roadmaps.Led the development of machine learning algorithms and production solutions for Natural Language Processing and Time Series Analysis projects. Focused on Retrieval Augmented Generation (RAG), sentence similarity, text classification, question answering, anomaly detection, root cause analysis, and predictive analytics.Achieved an F1 score of 0.93 (3x improvement over the previous solution) in root cause analysis in telecommunication networks using spectral residuals. Improved the accuracy of passive optical network fault diagnosis from 0.75 to 0.94 using time series clustering. Achieved the best F1 score for time series anomaly detection on public datasets in supervised and unsupervised settings.Mentored junior team members and supervised interns and PhD students.Received multiple awards for technological breakthrough, best solution, and President's award. Published four papers and filed one patent.
- Huawei TechnologiesPrincipal EngineerTECHSeptember 2017 - August 2019 (2 years)Dublin, IrelandDeveloped deep learning algorithms for computer vision. Focused on object detection, segmentation, and tracking, face recognition, adversarial learning, domain adaptation, and data generation.Transferred face recognition models to target domains and improved accuracy by 73% using only 5,000 additional identities, instead of millions, by directly initializing the metric module from target data. Achieved the best F1 score of 0.99 in background subtraction on a public video dataset using a CNN encoder-decoder model. Accelerated inference by 16x using TensorRT INT8 quantization.Received a technological breakthrough award and filed a patent.
- VALEOSoftware EngineerAUTOMOBILEJanuary 2016 - August 2017 (1 year and 7 months)Paris, FranceDeveloped image processing algorithms and workflows for the automotive industry.Led the development of a photorealistic simulation system for high-resolution pixel lighting. The system operates in real-time with two 1000x4000 LED matrices.Defined roadmaps, architectures, and technical specifications for innovative headlights.Filed eight patents on automotive pixel lighting modules.
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Education
- DoctorateINRIA – CNRS – University of Lorraine2011Informatique
- Master's DegreeKorea Advanced Institute of Science and Technology, South Korea2007Génie électrique
Certifications
- Generative AI with Large Language ModelsDeepLearning.AI, Amazon Web Services2023
- DevOps on AWS SpecializationAmazon Web Services2023