Joschka Braun is an ML tech lead and founder with seven years of experience building production-grade AI systems and developer tooling from New York. As Co-founder and CTO of Parea AI (YC S23) he helped create an AI engineer toolkit for debugging, evaluating, and monitoring LLM applications, and now leads ML engineering at Tennr where he shipped RaeLM™, a 7B model trained on 4M+ clinical documents to automate messy provider-provider communications. His background blends rigorous math (MS in Mathematics from NYU, BS from TU Darmstadt) and hands-on ML research, with published work on medical imaging and noise-robust training methods. Comfortable bridging research and product, he has moved models from novel algorithms into serverless, scalable deployments and thrives on solving data-format and label-noise challenges that others call unsolvable.
7 years of coding experience
3 years of employment as a software developer
S23 Batch, S23 Batch at Y Combinator
Master of Science - MS, Mathematics, Master of Science - MS, Mathematics at New York University
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Contributions:2 PRs, 50 pushes, 4 branches in 2 months
pytorchpythonjitgpunumpy
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