Nhan Ho

Nhan Ho has a diverse range of work experience in various fields. Nhan started their career as a Research Consultant at WorldQuant, where they conducted research and developed mathematical models to predict global financial market fluctuations. Nhan then worked as an Engineer Intern at Laboratoire TIMA, where they conducted research on side-channel analysis and developed a graphical user interface tool for power analysis attacks.

Following this, Nhan worked as an AI Research Intern at VinAI, where they conducted research on Multi-Task Learning and implemented the findings using PyTorch and TensorFlow. Nhan then joined VinUniversity as a Research Assistant, where they focused on topics such as Federated Learning and Federated Unlearning, conducting literature reviews and implementing these techniques on various devices.

Currently, Nhan is working at Eureka Robotics as a Machine Learning Engineer. Nhan'sresponsibilities include developing a desktop application for data annotation and deep learning model training, integrating state-of-the-art deep learning models using PyTorch, and optimizing model serving on edge devices.

Throughout their career, Nhan has showcased their skills in programming languages such as Python, C, and Matlab, as well as frameworks such as Flower, FedML, PyTorch, and TensorFlow. Nhan'sexperience spans across multiple industries, showcasing their adaptability and versatility.

Nhan Ho completed their Bachelor's degree in Mathematics and Informatics from Hanoi University of Science and Technology between 2013 and 2018. In 2019 and 2020, they pursued a Master's degree in Mathematics, Cryptology, Coding and Applications from Université de Limoges. Additionally, Nhan Ho obtained several certifications including Open Source Software Development, Linux and Git in January 2023, Algorithms Specialization in August 2021, Deep Learning Specialization in May 2021, and Cryptography I in June 2020, all from Coursera.