Sireesh Gururaja
PhD Candidate
Pittsburgh, Pennsylvania, United States
Summary
👤
Senior🎓
Top SchoolSireesh Gururaja is a PhD candidate at Carnegie Mellon’s Language Technologies Institute with 12 years of industry experience building robust NLP and ML systems for specialized domains. He combines hands-on ML engineering and MLOps leadership—having led teams at Kensho and built CI, dataset cataloging, and model monitoring pipelines—with research focused on incentives and preserving human agency in NLP. His background includes productionizing information extraction and knowledge-graph integrations at IBM and practical UX/ML work through internships, reflecting a blend of research rigor and product-minded implementation. Based in Pittsburgh, he pairs deep academic study with a track record of mentoring and tooling that improves reproducibility and team practices, and he brings an uncommon attention to how deployment and incentive structures shape model behavior.
12 years of coding experience
6 years of employment as a software developer
Bachelor of Arts (B.A.), Computer Science, Bachelor of Arts (B.A.), Computer Science at Columbia University in the City of New YorkDoctor of Philosophy - PhD, Language and Information Technologies, Doctor of Philosophy - PhD, Language and Information Technologies at Carnegie Mellon University
Github Skills (15)
classifier10
lime9
pandas8
python7
data-analysis7
machine-learning7
accessibility6
security6
data-science6
deep-learning3
d2l3
neural-network2
gluon2
pytorch2
mxnet1
Programming languages (3)
Github contributions (5)
gsireesh/ht-max
Apr 2024 - Dec 2024
Code for the HT-MAX project
Contributions:2 reviews, 33 PRs, 75 pushes in 7 months
gsireesh/ddd-benchmark
Feb 2025 - Mar 2025
Code for "Data Driven Design as a Challenge Task for Few- and Zero-Shot Information Extraction" (WIP)
Contributions:2 reviews, 2 PRs, 7 pushes in 1 month
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