I'm a SUPER PASSIONATE Year 4 Computer Engineering student at Nanyang Technological University (NTU)! 🎯 My journey in technology is fueled by my LOVE for coding and FASCINATION with Artificial Intelligence! 💻🤖 I'm always excited to explore new technologies and build AWESOME solutions! 🚀
I'm actively seeking internship opportunities in the following areas:
🤖 AI/ML Engineering - Deep Learning, Computer Vision, NLP
🔌 Embedded Systems - STM32 Development, Hardware-Software Integration
🎮 Digital Design - Verilog HDL, FPGA Development
🌐 Full-Stack Development - Web Applications, API Development
- 💻 Programming Languages: Python 🐍, C, C++ 🚀, Java ☕, Verilog 🔌
- 🤖 AI/ML: Deep Learning 🧠, Computer Vision 👁️, Natural Language Processing 📝
- 🛠️ Tools & Technologies: Git 🐙, Docker 🐳, TensorFlow 🤖, PyTorch 🔥, STM32 Development 🎛️
- 🌐 Web Development: React ⚛️, Node.js 🟢
- 🔌 Hardware Programming: Verilog HDL 🎮, STM32 Microcontrollers 💡, Embedded Systems 🖥️
- ⚡ Power Platform: Power Apps 📱, Power Automate 🔄, Power BI 📊, Dataverse 🗃️
- 🏭 Industrial Automation: DeltaV DCS 🧪, OSIsoft PI System 📈, Historian Data Analysis 🗂️, Alarm Management 🚨, Batch Control Systems 🧬
📝 A Django-based web application that recommends sports activities based on user preferences, weather conditions, and location. I am the full-stack role to develop and optmize recommendation algorithmns, creating different Models + Views, and decorate the UI as well~
🌟 Tech Stack:
- 🎨 Front-end: html 📄, css 🎨, javascript 🟨 and tailwind 🌪️
- ⚙️ Back-end: django(Python) 🐍
- 🔌 APIS: the 24-hour weather forecast from data.gov.sg 🌤️ + geolocation api 📍
- 💾 Database: SQLite 🗄️
📝 A comprehensive Java-based Hospital Management System designed to streamline hospital operations and patient care management. This system provides a robust platform for managing various aspects of hospital administration, patient records, and staff coordination.
🌟 Tech Stack:
- 💻 Core Language: Java☕
- 📊 Data Storage: CSV files for persistent data management📝
- 🖥️ User Interface: Command-line interface (CLI)
- 🔄 Data Structures: Utilizes Java Collections Framework (ArrayList, HashMap)
📝A data science project focused on predicting product prices in e-commerce using machine learning. The project involved data cleaning, exploratory analysis, and implementing regression models (linear regression and decision tree regressors) to predict product prices based on various features.
🌟 Tech Stack:
- 🐍 Programming Language: Python
- 📊 Data Processing & Analysis: pandas 🐼 (for data manipulation) + numpy 🔢 (for numerical operations)
- 🤖 Machine Learning: scikit-learn 🧠 (for regression models including Linear Regression and Decision Tree Regressor)
- 📓 Development Environment: Jupyter Notebooks 📔 (for interactive development and documentation)
- 📈 Data Visualization: matplotlib 📊 (for creating visualizations) + seaborn 🌊 (for statistical data visualization)
- Advanced Machine Learning Algorithms 🧠
- Operating Systems ☁️
- Digital Systems Design 🏗️
I'm ALWAYS excited to collaborate on interesting projects or discuss new ideas! Let's create something AMAZING together! 🎉
- 📧 Email: qian.xin.olivia@gmail.com
- 💼 LinkedIn: https://www.linkedin.com/in/xin-qian-65352632/
⭐️ From icymeow with ❤️