Hello, I am Shengyao!
About Me
I am an incoming Financial Engineering graduate student at NYU with a deep interest in machine learning, quantitative finance, and full-stack development.
I am incredibly passionate about solving complex problems by building elegant, reliable, and intelligent software. I have experience building AI chatbots, RAG pipelines, time series forecasting models, and data-driven applications.
When I am not coding, you can find me running in the city, visiting different museums, reading books, or travelling with friends.
Experience
Infrastructure Masons
Feb 2026 – May 2026
AI Engineer Intern
- Engineered a persona AI chatbot by finetuning Qwen 3.5 with LoRA to provide expert knowledge on digital infrastructure
- Architected a RAG pipeline using Pinecone and Together AI, using k-nearest neighbor retrieval to reduce hallucinations
- Designed a TypeScript frontend, featuring real-time Q&A, chat history storage, and customizable persona configurations
- Collaborated with a team of 9 people to deliver the project demo, presenting the demo at DCD Connect | New York
Guosheng Securities
Jun 2024 – Aug 2024
Private Wealth Management Intern
- Authored and distributed daily newsletters, analyzing trends, performance, and developments in Chinese and U.S. markets
- Researched fixed income products and recommended a product to a client, helping to secure a ¥100k+ investment
- Guided elderly clients to open trading accounts, ensuring compliance with regulatory and risk management requirements
W Education
Aug 2024 – Sep 2024
Teaching Assistant Intern
- Managed daily academic operations across 2 summer session classes, tracking homework completion, and delivering timely feedback to instructors each morning
- Graded and provided feedback on students' TOEFL speaking assignments, assessing fluency, pronunciation, and coherence to support exam readiness
Education
M.S. Financial Engineering
New York University • Sep 2026 - Dec 2027
Cumulative GPA: N/A
Relevant Courses: Quantitative Methods in Finance, Machine Learning for Finance, Introduction to Financial Derivatives
B.S. Mathematics
New York University • Sep 2022 - May 2026
Cumulative GPA: 3.6/4.0
Relevant Courses: Linear Algebra, Applied Statistics, Probability, Object Oriented Programming, Math Modeling, Data Structures and Algorithms, Introduction to Database, Introduction to Machine Learning
Skills
Programming Languages
Python, C++, MATLAB, TypeScript, JavaScript, HTML, CSS
ML & Data Science
Pandas, PySpark, NumPy, Scikit-learn, PyTorch, TensorFlow
Tools & Platforms
MySQL, Apache Airflow, Github CI/CD, Claude, Excel
Languages
Mandarin (Native), English (Professional), Japanese (Elementary)
Projects
A showcase of my work in machine learning, finance, and software development
Get In Touch
Let's connect!