Machine Learning Engineer

Bao Tran

adyeeh@r.postjobfree.com +84-382****** github.com/btr13010 linkedin.com/in/bao-tq

Education

VinUniversity, Hanoi Expected 2025

Bachelor of Science in Electrical Engineering GPA: 3.75/4.00 Relevant Courses: Artificial Intelligence, Computer System Programming, Algorithmic Thinking, Signal and Infor- mation, Linear Algebra, Probability and Statistics Certifications: Deep Learning Specialization (DeepLearning.AI), Software Coding Bootcamp (Techainer) Selected Awards:

• VinUniversity 100% Merit-based Scholarship (2021)

• Second Prize (Ranked 16/400+), Vietnam National Physics Olympiad (2020)

• Odon Vallet Scholarship, Rencontres Du Vietnam (2019) Experience

VinUni-Illinois Smart Health Center (VISHC) Hanoi

Research Assistant Jul 2023 - Aug 2023

Project: Emerging Properties of Recently Developed Deep Learning Models Advisor: Prof. Khoa Doan

• Conducted literature review on the alternative learning algorithms to backpropagation.

• Implemented the forward-forward algorithm with 2 different training procedures and 2 different ways of choos- ing the negative data, analyzed the strange behavior of the model and presented the result to the team. College of Engineering and Computer Science @ VinUniversity Hanoi Research Assistant Mar 2022 - Jul 2022

Project: Robust Optimization for Electric Vehicles Smart Charging Advisor: Prof. Laurent El Ghaoui

• Designed experiments and implemented algorithms in Matlab to compare the performance of different modelling strategies to the EV charging problem, including the robust optimization methods.

• Shown that the robust algorithms are more flexible with uncertainties in the electricity availability, and more efficient in terms of total charging cost under uncertainties in the electricity price.

• Conducted literature review, visualized experimental results, and suggested improvements to the modelling method.

Projects

Transformer-based Reinforcement Learning Pytorch, OpenAI GYM May 2023 - Present

• Implemented the Decision Transformer model and evaluated its performance in the GYM Atari environment.

• Tested the generalizability of the model to multiple environments by training the model simultaneously in 4 games, achieved an intelligent agent that can get high score in both environments. Face Verification C++, OpenCV May 2023

• Utilized OpenCV and machine learning techniques to build an app to detect the face using camera, show the corresponding identity stored in the database, and create a list of people showing up. Image Generation with Dall-E React, Express, MongoDB, OpenAI API Mar 2023

• Developed a full-stack web app that takes user’s prompts, generates images from these prompts using the Dall- E API, and allows users to share them publicly with the community. Leadership

TinFam Team Leader Jun 2022 - Oct 2022

• Developed a website that helps farm owners of smart farms to raise capital from their customers.

• Managed a team of 7 people to develop the product, contact potential customers, and participate in the TechY- outh Incubator 2022.

Skills

Programming Languages: Python, C/C++, Javascript, Matlab Web Development: React, Node, Express, MongoDB, Tailwind, Html, CSS, Figma Machine Learning: Pytorch, Numpy, Scikit-learn, Pandas, wandb, OpenCV, Tensorflow

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