Tyler Neill is a software engineer and Sanskritist with nine years of experience building data and infrastructure systems that tame “big, messy” text corpora. He blends deep domain scholarship—a PhD in Sanskrit and Digital Humanities—with production engineering skills in Python, Go, Kubernetes, Airflow, and cloud services to ship robust data pipelines and e-text platforms. At BenevolentAI he led performance and orchestration improvements that dramatically sped up embedding training and reduced memory use, and at Abnormal Security maintained high-volume cybersecurity ingestion systems. He currently manages and upgrades the Muktabodha e-text library, applying both philological insight and software best practices to preserve and serve complex texts. Colleagues rely on him to translate academic research needs into scalable engineering solutions, and his unusual pairing of Sanskrit scholarship with modern data engineering gives him a rare perspective on language-first infrastructure.
9 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Sanskrit and Digital Humanities, summa cum laude, Doctor of Philosophy - PhD, Sanskrit and Digital Humanities, summa cum laude at Leipzig University
Master of Arts (M.A.), Sanskrit and Indian Studies, Master of Arts (M.A.), Sanskrit and Indian Studies at Harvard University
data, metadata, tool links and code, and results for LDA experiment on Sanskrit pramāṇa corpus
Contributions:1 release, 120 commits, 2 PRs in 2 years 6 months
nlpldacorpusglossarysanskrit
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