Machine Learning Sql Server

TUAN ANH TRAN

+84-368****** ***************@*****.***

SKILLS

-Languages : Java, JavaScript, Python, C#.

-Framework : ReacJS, NodeJS, NextJS, Java Spring, Flask, TensorFlow, Scikit-Learn, Keras,PyTorch.

-Database : SQL Server, MySQL, MariaDB, Neo4j, MongoDB.

-Tools : Git, Docker

EDUCATION

Industrial University Of Ho Chi Minh City 2021 – 2025

-Bachelor of Engineering in Computer Science

-Relevant Coursework: Programming Techniques; Database; Design System; Web Development; App Development; Project Management; Machine Learning; Deep Learning, Requirement Analysis; AWARD

Champion at BizTech Hackathon, UEH University 2022

-Collaborated with my team to develop an idea and MVP that aimed to tackle food waste through innovative technology.

-Developed leadership, teamwork, presentation skills, and the ability to work effectively under pressure.

PROJECTS

Restaurant management 2023

-Developed a restaurant management system for menu management, table reservations, and billing with a user-friendly interface. Implemented WebSocket for real-time order notifications, multithreading for performance optimization, and RESTful APIs for efficient frontend-backend communication. Integrated Spring Security for authentication and API security. (Team size: 4)

-Technologies: JavaFX, ReactJS, MySQL, Java Spring Boot, WebSocket, Spring Security.

-Role: Backend Developer (Developed RESTful APIs, designed and optimized the database, implemented WebSocket for instant order updates, and used multithreading to handle high-order volumes.)

Real-Time Object Detection System for Supermarkets 2024

- Developed a real-time object detection system using YOLOv8, Flask, and React.js to identify people, detect pets, send instant security alerts via WebSocket, notify staff about low-stock shelves, and ensure efficient data exchange with RESTful API.

-Technologies: ReactJs, Flask, YOLOv8, WebSocket, SQL Server, DeepSort.

-Role: Full-Stack Developer & Researcher (Implemented YOLO for object detection, developed the Flask backend and SQL Server database, built the React.js frontend, designed RESTful APIs for seamless communication, integrated WebSocket for real-time notifications, and optimized system performance).

AI Interview Platform for Real-Time CI/CD & Soft Skills Coaching 2025

-Developed a full-stack AI-powered interview preparation platform supporting live/mock interviews, CI/CD summary generation, and communication skill enhancement. Implemented key features including resume feedback, interview analytics, and AI sentiment analysis based on user responses. Integrated GitHub/Jira for development tracking and leveraged Gemini & Deepgram APIs for prompt processing and voice transcription.

-Technologies: Next.js, React, Clerk, Vercel, Neon Vector DB, Deepgram, Gemini, PostgreSQL, GitHub, Jira

-Role: Full-Stack Developer (Built and deployed frontend using Next.js and React, designed backend APIs for summary generation and user analytics, integrated external APIs for voice transcription and NLP processing, implemented database structure and secure authentication with Clerk, planned roadmap from MVP to scalable AI coaching solution)

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