Christine Maroti is an AI research engineer based in New York with 8+ years of experience applying NLP and machine learning to real-world products, from machine translation and quality estimation at Unbabel to scalable LLM-driven learning workflows at Sizzle AI. She has a track record of taking research into production—designing evaluation benchmarks, building serving and training systems in Python/FastAPI, and shipping features that scaled a learning platform to over a million user-created courses. Her work blends rigorous evaluation (LLM-as-judge, factuality, relevance) with pragmatic engineering like reusable A/B frameworks and RAG/few-shot approaches that measurably improved content quality. A linguistics BA from Harvard informs her language-focused research, and an early career in leveraged capital markets gives her uncommon domain fluency in structuring high-impact projects under pressure.
8 years of coding experience
10 years of employment as a software developer
Bachelor of Arts (B.A.) Linguistics, Bachelor of Arts (B.A.) Linguistics at Harvard University
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