Teddy Seem brings a background spanning quantitative finance at Bridgewater Associates and applied machine learning at fashion-tech startup Resonance Companies, where he built models to convert 2D clothing images into mathematical representations using CNNs and RNNs. He focuses on finding founders who can explain not just what they're building but why their problem exists and why prior solutions failed, while seeking companies that apply technology from one industry to large, outdated sectors. Teddy Seem brings a background spanning quantitative finance at Bridgewater Associates and applied machine learning at fashion-tech startup Resonance Companies, where he built models to convert 2D clothing images into mathematical representations using CNNs and RNNs. He focuses on finding founders who can explain not just what they're building but why their problem exists and why prior solutions failed, while seeking companies that apply technology from one industry to large, outdated sectors.