Sneha Singhania
Doctoral Student at Max Planck Institute for Informatics
Saarbrücken, Germany
Summary
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Senior🎓
Top SchoolSneha Singhania is a Doctoral Student at the Max Planck Institute for Informatics with nine years of experience applying machine learning to real-world problems, specializing in Natural Language Processing. She blends rigorous academic research with hands-on engineering, previously contributing to applied AI projects at Accenture Labs and building spatio-temporal deep models during a Google Summer of Code placement that addressed ionospheric forecasting for critical infrastructure. Based in Saarbrücken, Germany, she brings an Integrated Masters in Computer Science from IIIT Bangalore and a track record of internships that bridge industry and research. Sneha’s work is driven by impact-oriented problem solving, and she combines theoretical depth with practical implementation skills across research codebases and production-aware prototypes.
9 years of coding experience
1 year of employment as a software developer
High School, Computer Science, PCM, English, 94.8 %, High School, Computer Science, PCM, English, 94.8 % at Maharashi International Residential School ,SriperumbadurInternational Institute of Information Technology Bangalore10/10 CGPA, 10/10 CGPA at The Indian Public School, Erode
Hindi, Tamil, English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (17)
mechanism5
classification3
natural-language-processing3
nlp3
attention-mechanism3
fasttext3
text-classification2
machine-learning2
extraction2
python2
entity2
tensorflow2
relation2
similarity1
relation-extraction1
Programming languages (3)
Github contributions (5)
lm-kbc/dataset2022
May 2022 - Aug 2022
Dataset for the LM-KBC challenge at ISWC 2022
Contributions:37 commits, 3 PRs, 28 pushes in 2 months
kbcdataset
lm-kbc/lm-kbc.github.io
Apr 2022 - Nov 2024
Contributions:110 pushes in 2 years 7 months
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