Summary
Joshua Mailman is a Staff Machine Learning Engineer and Data Scientist blending eight years of industry experience with a deep academic background (PhD in Music Theory) to solve practical ML and generative-AI problems. He currently researches and productionizes LLM alignment techniques (SFT, RLHF) while consulting on RAG-based chatbots and prompt strategy for editorial workflows. Joshua pairs strong Python and deep-learning chops (TensorFlow/PyTorch, JAX) with extensive feature-engineering, NLP, and data engineering experience across enterprise and prototyping contexts. His work is informed by a rare history of engineering interactive audio-visual systems and publishing peer-reviewed research, which gives him an unusual edge in multimodal modeling and creative problem framing. Comfortable bridging research, product, and non-technical stakeholders, he routinely translates experimental ideas into deployable prototypes and evaluation regimes. Based in New York, he brings both scholarly rigor and performance-minded inventiveness to commercial ML challenges.
8 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy - PhD Music Theory and Analysis, Doctor of Philosophy - PhD Music Theory and Analysis at Eastman School of Music
A.B. Philosophy, A.B. Philosophy at University of Chicago
certificate Graphics programming in Java's Processing Framework, certificate Graphics programming in Java's Processing Framework at Harvestworks Digital Media Center
Structured programming in C, Structured programming in C at Baruch College
Doctor of Philosophy - PhD Music Theory and Analysis (see Eastman School of Music above), Doctor of Philosophy - PhD Music Theory and Analysis (see Eastman School of Music above) at University of Rochester
certificate Javascript, certificate Javascript at General Assembly
audited Advanced Computer Music: Max/MSP RTcmix and iOS programming, audited Advanced Computer Music: Max/MSP RTcmix and iOS programming at Columbia University
Data Science, Data Science at Metis