Andy Yang
Researcher | Software Developer | Entrepreneur
Hey! I'm Andy Yang, a Computer Science and Finance student at MIT who loves building things at the intersection of machine learning and systems.
Right now, I'm a Software Engineer Intern on MIT's LobbyView platform, where I build full-stack infrastructure and data pipelines for large-scale political finance and lobbying research. In the past, I've done machine learning research at MIT CSAIL and CUNY, with 3+ publications. I'm also a Coca-Cola Scholar and an MIT RSI Scholar.
Outside of class and research, I'm involved in MIT's startup and tech scene as MIT's Cursor Campus Lead and MIT StartLabs Entrepreneurship Club New Member Education Director. I'm also on MIT's Division I Men's Lightweight Crew.
Skills & Technologies
Python, Java, JavaScript, React, Node.js, SQL, HTML/CSS
TensorFlow, PyTorch, OpenCV, Scikit-learn, Neural Networks, Computer Vision, NLP
Numpy, Pandas, MATLAB, Matplotlib
AWS, Docker, Git, GCP, LaTeX, Excel
Work Experience
Software Engineering Intern
San Francisco, CA
On the Magic Eye Engineering team.
Cursor Campus Lead
@ Cursor
Cambridge, MA
Grow Cursor's presence on MIT campus by running demos, hosting workshops, and connecting student builders with AI-powered developer tools.
Software Engineer Intern
@ Lobbyview - MIT Department of Political Science
Cambridge, MA
Built and maintained LobbyView platform using React, Node.js, and Python with complex SQL queries managing 1.2M+ lobbying records and custom algorithms tracing legislative impact.
AI Policy Intern
@ Center for AI and Digital Policy
Washington, District of Columbia
Researched AI governance frameworks (EU AI Act, U.S. state laws) and drafted policy briefs supporting rights-based AI regulation efforts.
Machine Learning Researcher
@ City University of New York
New York, NY
Designed deep learning systems in TensorFlow and PyTorch for PDE simulation and computer vision, publishing 3 papers and presenting at 2 international conferences.
Machine Learning Researcher
@ MIT Computer Science and Artificial Intelligence Lab (CSAIL)
Cambridge, MA
Created novel algorithm for optimal transport on Riemannian manifolds using Python and NumPy, presenting first-author paper at MIT RSI Symposium.
Projects
CRFNN: Contextual Reasoning-Based Fuzzy Neural Networks
Novel FNN method for uncertainty reduction in object recognition, achieving +19.8%, +9.8%, +11.2% accuracy gains across three datasets.
LobbyView: Data Science Platform for Political Research
Platform with 1.2M+ lobbying records advancing research in interest group politics. Built full-stack infrastructure with complex SQL queries and custom algorithms for legislative impact tracing.
E.D.I.T.H: Multimodal AI Agent System
Sophisticated AI agent system with 4-type memory architecture, 9 specialized tools, and agent-to-agent communication protocol. Full-stack deployment with FastAPI backend and Next.js frontend on Railway.
Intelligent Digital Twin for Paper Manufacturing
AI-driven system with real-time sensor data and ML models achieving >90% accuracy in production optimization.
Mesh-less Ray-Based DNN for Helmholtz Equation
Novel mesh-less deep neural network method for solving high-frequency Helmholtz equations, demonstrating accuracy and efficiency without adaptive mesh refinement.
Deep Neural Network for Helmholtz Scattering
Novel DNN algorithm for solving Helmholtz scattering problems in unbounded domains with high accuracy.
AI Comic Generation App
Next.js application for AI-powered comic generation with modern web technologies deployed on Vercel.
Let's Work Together
I'm always interested in hearing about new projects, research opportunities, and collaborations in just about anything. Whether you have a question or just want to say hello, feel free to reach out!