Dong WANG

Hi 👋 I’m an undergraduate student majoring in Computer Science at Purdue University. Before transferring to Purdue, I studied Communication Engineering at Northeastern University (China) for one year and a half.

I’m currently seeking full-time opportunities in Software Engineering (SWE), Machine Learning Engineering (MLE), and Quantitative Research/Development (Quant).

In Fall 2025, I will join Amazon Web Services (AWS Fintech) as a Software Engineer Intern.

As a Research Assistant at the Purdue AI Lab, I worked under Prof. Yexiang Xue on physics-informed deep learning. I developed models that improve video motion prediction by integrating neural networks with physical laws, helping bridge the gap between data-driven and physically-grounded modeling.

My passion for intelligent robotics led me to the Purdue Aerial Robotics Team, where I helped design a drone control system that interprets hand-drawn sketches using GANs and vision models to guide autonomous flight.

Previously, I interned at the Bank of China as a Software Engineer, where I built a symbolic regression system to predict customer satisfaction using structured financial data.

I also participated in Y Combinator’s AI Startup School.

🌱 Selected Personal Projects:

• 🔁 EchoGen: An iterative optimization framework that refines LLM outputs through multi-round feedback.
• 🧬 SmartGA: Uses LLMs to guide the evolutionary direction of Genetic Algorithms for function fitting.
• ✏️ SketchTune: Fine-tuned the CLIP model on the Sketchy database to improve sketch-image retrieval.
• 📬 Gmaillm: An AI-powered Gmail assistant that summarizes important messages and filters out noise.