I am a Graduate Research Assistant (PhD student) and part-time Data Scientist at The City University of New York, focusing on evaluation of ML systems in low-resource languages. My initial research background was specific to handling uncertainty with Bayesian Modeling, until my interests took a more linguistic-angle. Combining my fluency in multiple languages with a deep passion of Machine Learning excites me about the prospect of conducting further research in NLP. Professionally, I have 2+ years worth of experience in Software Engineering, AI, and Machine Learning.

Collecting coffee holders

https://www.linkedin.com/in/neh-majmudar-3828a116a/ https://github.com/Lewy09-Tm25 https://scholar.google.com/citations?user=Eko2UdoAAAAJ&hl=en&oi=ao

Charles Inwald is a mid-level full‑stack developer based in New York with both a BS and MS in Computer Science from Lehigh University. He currently works as a Software Developer at Trude and presents/co-organizes at Code & Coffee. Previous roles include frontend engineering at Nucleus Healthcare (built large-scale scheduling/compliance systems and an e-commerce COVID testing platform) and contract frontend work at Apple (internal security tools). He has also built consumer mobile apps (Inkwell) using React Native with Python/FastAPI backends and published machine-learning/data engineering projects on GitHub. Charles is experienced building production React/React Native frontends, Python/FastAPI backends, and has exposure to distributed systems and Rust.