Machine Learning Software Engineer

TRAN HOANG TUAN

******.****@*****.*** https://github.com/JacksonHana https://www.linkedin.com/in/jacksontran106/ WORK EXPERIENCE

Extern

Web3 Security Data Analytics Externship Oct 2024 - Oct 2024 Conduct detailed analysis and labeling of smart contract vulnerabilities, enhancing skills in data categorization and risk assessment.

Validate peers' data labels to ensure the accuracy and reliability of data sets. Perform frequency and correlation analysis of risk tags to identify the most prevalent vulnerabilities and their associations, gaining proficiency in data manipulation and statistical tools. Utilize unsupervised machine learning techniques for cluster analysis, discovering patterns and commonalities among smart contracts to profile risks effectively.

Demonstrate proficiency in SQL, Excel, and Tableau, employing these tools for complex data analysis, manipulation, and visualization tasks to uncover insights into smart contract vulnerabilities and risk profiles. BRIGHT CHAMPS EDUCATION

Educator Jun 2023 - Dec 2023

Teaching code and programming languages for students from grade 1 to grade 12. MARVELL TECHNOLOGY

Software Engineer Intern Jul 2022 - Jan 2023

Developing API and creating GUI for semiconductor tasks. API: using C/C++ to develop NRZ and PAM4 signals.

GUI: using PyQt, and PySide to develop and update the DSP and PRBS (Pseudorandom binary sequence) tab. The API communicates between semiconductors and users with features. PROJECT EXPERIENCE

PERSONAL

LLM _ RAG PROJECT Jun 2025 - Jun 2025

Developed and deployed a document-based question answering system, integrating a PDF retrieval system with dynamic question answering using embeddings.

Implemented a QA chain using the Sentence Transformers model Built an interactive interface using Gradio for users to ask questions and receive answers based on the provided document.

GROUP

CUSTOMER SEGMANTATION BY REANDOM FOREST Apr 2025 - May 2025 Applied data wrangling techniques, including missing value handling, cancellation filtering, and data normalization for improved model performance.

Created behavioral metrics (RFM features) to represent customer purchasing patterns, enabling deeper insights into customer value.

Used K-Means clustering to create labeled customer segments, then trained a Random Forest classifier to predict segment membership based on transaction behavior.

GROUP

HANDWRITING RECOGNITION Mar 2025 - May 2025

Developed an end-to-end handwriting recognition system using a CRNN and CTC architecture Trained and evaluated the model on the IAM dataset, achieving robust word-level recognition on unsegmented handwritten text images.

Conducted extensive data preprocessing, including image normalization, resizing, and label encoding to ensure model compatibility and generalization.

Demonstrate on a simple web application, implementing the model to visualize the classification process. PERSONAL

CAR COUNTER AND PEOPLE COUNTER Dec 2024 - Dec 2024 Using YOLOv8 and COCO training datasets to count cars and people from videos and cameras. PERSONAL

BRAIN TUMOR CLASSIFICATION (THESIS) Sep 2023 - Jan 2024 Building a CNN model to classify 4 types of brains: no tumor, glioma tumor, meningioma tumor, and pituitary tumor by classifying X-ray images - randomly being noised and rotated. Trained the model on 3 different datasets with over 8,000 images and returned approximately 90% accuracy. Creating web using Flask framework and mobile interfaces using Android Studio, implementing the model to visualize the classification process.

PERSONAL

REINFORCEMENT LEARNING Jan 2023 - May 2023

Three tasks completed: balancing cart pole, self-playing games, and self-driving car using Policy Optimization and Q learning algorithms.

Cart pole: apply PPO (Proximal Policy Optimization) algorithm and DQN (Deep Q-learning Network). Atari Breakout game: using A2C (Advantage Actor-Critic) policy. Self-driving car is applied to PPO policy.

PERSONAL

HAND GESTURE RECOGNIZER USING ACCELEROMETER Sep 2022 - Dec 2022 A machine learning project that can capture signals from accelerometers and return hand gesture. The processor used was ESP-32.

PERSONAL

PORTFOLIO PAGE Jan 2022 - Apr 2022

Self-learning HTML, JS, and CSS to learn about frontend development. EDUCATION

HO CHI MINH UNIVERSITY OF TECHNOLOGY

Master of Computer Science Graduation Date: Apr 2027 Bachelor degree in Electrical - Electronic Engineering Graduation Date: Apr 2024 SKILLS & INTERESTS

Skills : Python, AI/ML, C/C++, HTML/JS/CSS/ReactJS, MySQL Certifications : IELTS

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