Sanjna Kashyap
Associate AI Engineer
Philadelphia, Pennsylvania, United States
Summary
👤
Senior🎓
Top SchoolSanjna Kashyap is an Associate AI Engineer with eight years of experience, combining a recent MS in Computer and Information Science from the University of Pennsylvania with applied research and production work at ETS. Her background spans machine learning, deep learning for machine perception, NLP, and big data pipelines, grounded in hands-on roles from graduate research on automatic summarization to production-focused AI engineering. She has taught and mentored students in software development courses, reflecting strong communication skills that complement her technical expertise. Early experience analyzing real-time social media data with Hadoop and sentiment lexicons highlights her practical data engineering roots alongside model development. Based in Philadelphia, she is actively building scalable AI solutions and continually seeks opportunities to translate academic research into robust, real-world systems.
9 years of coding experience
3 years of employment as a software developer
Bachelor of Technology - BTech, Computer Science and Engineering, First Division with Distinction, Bachelor of Technology - BTech, Computer Science and Engineering, First Division with Distinction at Amity UniversityMaster's degree, Computer and Information Sciences, Master's degree, Computer and Information Sciences at University of Pennsylvania
Github Skills (28)
roberta10
visualization9
python9
sequence-labeling9
bert9
error-correction9
nlp8
scikit-learn8
natural-language-processing8
machine-learning8
transformers8
parser6
crf5
softmax5
deep-learning5
Programming languages (3)
Github contributions (5)
EducationalTestingService/gector
Sep 2022 - Feb 2023
Official implementation of the papers "GECToR – Grammatical Error Correction: Tag, Not Rewrite" (BEA-20) and "Text Simplification by Tagging" (BEA-21)
Contributions:2 releases, 27 reviews, 42 commits in 5 months
error-correction
EducationalTestingService/allennlp
Feb 2023 - Feb 2024
An open-source NLP research library, built on PyTorch.
Contributions:1 release, 1 review, 4 PRs in 1 year
natural-language-processingpytorch
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