SanchitĀ Sinha
Computer Scientist at University of Virginia
Charlottesville, Virginia, United States
Summary
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Rockstarš
Top SchoolSanchit Sinha is a PhD-level computer scientist and machine learning researcher with nine years of experience applying deep learning to computer vision and NLP. He has interned at top labs including Amazon (contributing to a KDD 2024 AGI paper), AWS, Unity, and Morgan Stanley, and has a strong academic record at University of Virginia and IIIT-Delhi. His work spans applied research and engineeringācontributing metrics and evaluation improvements to the widely used TextAttack NLP adversarial framework and implementing novel USE and perplexity metrics for adversarial example quality. He blends theoretical rigor (NSF-funded network modeling and peer-reviewed publications) with production-minded experimentation on large models and speech representations. Based in Charlottesville, he combines active open-source involvement with a track record of industry collaborations that accelerate in-context learning and robust model evaluation.
9 years of coding experience
3 years of employment as a software developer
Senior Secondary, 96.2%, Senior Secondary, 96.2% at Delhi Public School, Vasant KunjBachelor of Technology (B.Tech.) Honors, Computer Science, 8.3/10, Bachelor of Technology (B.Tech.) Honors, Computer Science, 8.3/10 at Indraprastha Institute of Information Technology, DelhiDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Virginia
English, Hindi, French
Stackoverflow
460reputation
40kreached
16answers
6questions
Github Skills (16)
transformers10
pytorch10
machine-learning10
nlp10
adversarial-attacks10
python10
natural-language-processing10
data-augmentation9
gpt9
tensorflow8
nltk6
stopwords6
case-insensitive6
opencv6
image-processing6
Programming languages (7)
Github contributions (5)
QData/TextAttack
Aug 2021 - Oct 2021
TextAttack š is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/
Role in this project:
ML Engineer
ML EngineerContributions:19 reviews, 77 commits, 12 PRs in 2 months
Contributions summary:Sanchit's contributions focused on enhancing the `TextAttack` framework with new metrics and improving existing ones, primarily related to natural language processing tasks. They implemented a new Universal Sentence Encoder (USE) metric and Perplexity metric, demonstrating a focus on evaluating the quality of adversarial examples. The commits show active development of features related to adversarial attacks, data augmentation, and model training, reflecting their role in this machine learning project.
pythonadversarial-machine-learningadversarialmodel-trainingtraining
sanchit97/ELDAssignment2
Aug 2016 - Oct 2019
Contributions:14 PRs, 10 pushes, 6 branches in 3 years 2 months
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