Hi there, My name is Nam Nguyen. I am a student at Vietnam National University. As a motivated and enthusiastic college student with fundamental knowledge of computer science and mathematics. When I was an undergraduate, I've participated in several competitive programming contests. Recently, I'm pursuing to become a software engineer. I am flexible and eager to learn more about technical skills and working knowledge of software applications to broaden my horizon. Besides, I enjoy playing computer games like League of Legends (LOL) and VALORANT.
Implementing backend services using Python, FastAPI, and PostgreSQL.
Built the data pipeline and the webhook for ingesting data from 100,000 documents across Confluence,
Jira, and Zendesk
Constructed a QnA bot leveraging the Larg Language Model (Gemini), assisting engineers in searching
appropriate documents through various Google Cloud tools.
Contributed to the development and enhancement of data systems and built data pipelines for client companies, improving data integration and processing efficiency.
Built and maintained the data pipeline and monitoring system for the data analysis tasks.
Designed the backend infrastructure and data model for the bid optimization within the renewable
energy trading
market in the UK and Ireland.
Supported the data scientists by evaluating the forecast metrics on the models in production using
Grafana
Developing an AI system involves using Triton to deploy deep learning models and automate their
testing.
Constructed a data pipeline for the purpose of crawling, data processing with the utilization of
Airflow.
Developed and integrated a new deep learning framework for portfolio optimization on the backtesting
system.
Analyzed and extracted the impact of sentiment in earnings calls on stock price using natural
language processing
methods.
Built, trained, and tested various neural network models for point cloud classification &
segmentation tasks.
Implemented experiments on the backdoor attack to explore vulnerable models for tasks featuring
point cloud
Created a bot crawler to collect data for training machine learning models.
Worked on Natural Language Processing (NLP) tasks such as Name Entity Recognition, Automatic Speech
Recognition, and
Diacritic Restoration in Vietnamese.
Focused on software engineering, data structures, algorithms, and artificial intelligence. Participated in competitive programming contests and research projects in machine learning and computer vision.
Specialized in Informatics at a gifted high school, building strong foundation in programming, algorithms, and computational thinking through competitive programming and advanced coursework.
Exploring best practices for designing and implementing robust data pipelines using Apache Airflow. Learn about DAG optimization, error handling, and monitoring strategies for production environments.
Sharing experiences from deploying a QnA bot powered by Gemini LLM. Topics include prompt engineering, context management, cost optimization, and handling production challenges at scale.
A deep dive into performance tuning techniques for Amazon Redshift. Covering distribution keys, sort keys, compression strategies, and query optimization patterns that improved our query performance by 10x.
Building a real-time analytics platform using Kafka for message streaming and Spark for processing. Learn about exactly-once semantics, backpressure handling, and maintaining low latency at scale.
