Entry-Level A Team

Tran Van Loc

Ñ iamloctran +84-862****** # ***.******@*****.***.** ï linkedin.com/in/trlocne

OBJECTIVE

I am currently studying and looking for an internship or entry-level position in the AI/ML field where I can apply my knowledge to solve real-world problems. My goals are to develop my technical skills, learn more from real-world projects, and improve my ability to work in a team. I aspire to work in a professional environment that supports personal growth, allowing me to expand my knowledge and experience. In the future, I hope to contribute to meaningful AI/ML initiatives while continuing to learn and grow in the field. EDUCATION

Ho Chi Minh City University of Technology - VNUHCM Sep 2022 – Present Bachelor of Engineering in Computer Science GPA: 3.3/4.0 SKILLS

Programming Languages: Python, JavaScript, Java, C/C++. Libraries & Frameworks: React, Pandas, Matplotlib, NumPy, PyTorch, FastAPI, Apache Flink, Apache Kafka. Tools & Database: SQL Server, Postgres, Docker, Git/GitHub, Postman, Figma, Excel, PowerPoint, Word Other Skills: Graphic Design, UX/UI Design, Teamwork, Presentation, Logical Thinking, Algorithms PROJECTS

Glioma Segmentation on Post-treatment Design architecture (3-member team) Oct 2024 – Dec 2024

• Developed XMamba, a state-of-the-art model for 3D medical image segmentation of gliomas on post-treatment MRI scans.

• Leveraging the strengths of Mamba’s efficient state-space modeling and advanced feature extraction techniques.

• Demonstrated effective results on the BraTS 2024 dataset, showcasing potential applications in improving diagnosis and treatment planning.

• Project Repository: https://github.com/trlocne/Xmamba

• Technology: Python

RAG-based Chatbot for Document Question Answering Developer Feb 2025 – Mar 2025

• Developed a Retrieval-Augmented Generation (RAG) system utilizing LangChain to enable context-aware question answering over custom PDF documents.

• Implemented a pipeline for document ingestion, text chunking, embedding generation, and vector storage using FAISS, Chroma for efficient retrieval.

• Integrated Llama-3.1 as the language model to generate accurate and contextually relevant responses based on retrieved information.

• Designed a user-friendly interface for uploading documents and interacting with the chatbot, enhancing accessibility and usability.

• Project Repository: https://github.com/trlocne/RAG-with-LangChain

• Technology: Python, LangChain, FAISS, Chroma

YOLOHome – Smart Home Data Processing System Team leader (5-Member) Jan 2025 – Apr 2025

• Built a real-time data processing system using Apache Flink to handle sensor events from smart home devices.

• Integrated face and voice recognition modules to support secure user authentication and smart device control via speech.

• Simulated sensor data streams with Python scripts and Avro serialization, deployed using Docker Compose.

• Project Repository: https://github.com/trlocne/DADN

• Technology: FastAPI, Python, Apache Kafka, Apache Flink, Avro, MQTT, Docker, ReactJs Data Analysis and Price Prediction of GPUs and CPUs Team Leader (5-member) Aug 2023 – Dec 2023

• Successfully applied statistical methods, including multiple linear regression, to analyze GPU data and predict pricing trends.

• Implemented robust preprocessing to clean and structure data, providing insights into key factors influencing GPU prices.

• Proposed future enhancements involving larger datasets and advanced modeling techniques for improved accuracy and scalability.

• Project Repository: https://github.com/trlocne/MT2013 Asg

• Technology: R Studio

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