Zhao Qixian | 赵启先

About Me / 个人简介

Zhao Qixian is an MOE Science and Engineering Scholar and Y4 student at NTU. Skilled in AI engineering, deep learning research, and cloud automation, featuring ML internships at SLB and incoming data science internship at Alstom Singapore Innovation Center.

Education / 教育背景

• Nanyang Technological University (NTU) (2023 - 2027)
  BSc in Data Science and Artificial Intelligence with Business Minor. CGPA: 4.55/5.00, First Class Honours. Full Science & Engineering Scholarship.
• École Normale Supérieure (ENS Paris) (Jan - May 2026)
  Semester Exchange in Computer Science (studied Machine Learning, Cryptography, AI in Finance).
• Seoul National University (SNU) (Jun - Jul 2024)
  Summer Exchange in Economics (studied Game Theory).
• Nanyang Junior College (NYJC) & Catholic High School (CHS)
  MOE SM1 Full Scholar. Achieved 4 Distinctions at A-Levels and 10 Distinctions at O-Levels.

Internship Experience / 实习经历

• SLB (Schlumberger) (Jul - Dec 2025) - Machine Learning & AI Engineer Intern
  Deployed enterprise Flask webapp for compliance checks using RAG over Azure AI Search. Implemented multi-stage filtering that cut multimodal LLM calls by 70% and processing cost by 50%.
• Alstom Singapore Innovation Center (Incoming Jun 2026) - Data Science Intern
• Nanyang Technological University (NTU) (Sep 2024 - Present) - Research Assistant
  Audio data processing (SOH), eye-tracking collection (NBS), and cognitive testing (CLL).

Research Projects / 科研项目

• Spinal Scoliosis Cobb Angle Automatic Measurement (NTU URECA, 2025 - 2026)
  Deep learning spine landmark localization in collaboration with KK Women's and Children's Hospital. Achieved mAP50: 99.1%, Mean Absolute Error: 3.43°.
• AI Ethics Publications (ASEE 2025, Montreal)
  First author paper on enhancing AI literacy and game theory ethics.
• AnniZ Lab, NTU (2026 - Present)
  Temporal Knowledge Graph and Graph Neural Networks (GNN) for Gut Microbiome prediction.

Key Projects & Awards / 核心项目与荣誉

• 🏆 TrustHP (WIT x HP Ideathon 2025) - Champion / 1st Place (out of 20 teams).
• 🏆 SMU Datathon 2025 - National Finalist / Top 10 (out of 70+ teams). Fuzzy matching & Sentence-BERT pipeline.
• 🏆 UiPath RPA Hackathon 2024 - National Finalist / Top 6 (out of 46 teams). Face-recognition RPA app.
• 💻 EatWellthy (SC2006) - Agile leader of 6-member team. Built full-stack MERN meal planning app with Nutritionix & OpenAI.
• 💻 Final Year Project (FYP) - NLP for financial news market impact predictions.

Technical Skills / 专业技能

• Programming: Python, SQL, R, JavaScript, Java, Linux, HTML/CSS
• Frameworks: PyTorch, Flask, React.js, Node.js, Express, MongoDB, OpenCV
• Tools & Cloud: Azure AI, Azure DevOps (CI/CD), Power BI, UiPath RPA
• Certifications: Google Data Analytics Specialization, Prompt Engineering & Analytics