Çağatay Demiralp
Applied Scientist at Amazon Web Services (AWS)
United States
Summary
👤
Senior🎓
Top SchoolÇağatay Demiralp is an applied scientist with 12 years of experience at the intersection of data systems, AI, and HCI, currently working on scalable enterprise LLM solutions at AWS and MIT CSAIL. He has a strong track record translating research into product impact—at Sigma he architected an AI-driven semantic layer, led a small research team, and helped deliver prototypes that supported a $300M Series C. His work spans semantic understanding of relational tables, interactive visual text analytics, and intelligent labeling systems, with publications and open-source artifacts from MIT, IBM, and Megagon Labs. As a founder he built web services infrastructure for Fitnescity, demonstrating practical engineering chops alongside his research portfolio. Notably, he blends systems thinking with human-centered design to make large-scale analytics both fast and usable, evidenced by projects like Kyrix, Sherlock, and VizNet. He holds a PhD in Computer Science from Brown and completed postdoctoral work at Stanford, combining deep academic roots with startup and cloud-scale deployment experience.
12 years of coding experience
6 years of employment as a software developer
PhD Computer Science, PhD Computer Science at Brown UniversityPostdoc Computer Science, Postdoc Computer Science at Stanford University
Github Skills (22)
arxiv10
record-linkage9
information-retrieval7
natural-language-processing7
spatial-index6
rna-seq4
d3js4
scale3
react3
data-visualizations3
postgresql3
bioinformatics3
visualization2
data-visualization2
visualizations2
Programming languages (4)
Github contributions (5)
uwdata/verp
Aug 2014 - Sep 2015
Contributions:99 commits, 11 pushes in 1 year
uwdata/visual-embedding
Dec 2014 - Sep 2017
Contributions:62 commits, 19 pushes in 2 years 8 months
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