Ayush Pareek
Senior Machine Learning Engineer at Apple
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolAyush Pareek is a Senior Machine Learning Engineer based in the San Francisco Bay Area with a decade of experience building production ML systems, currently improving Spotlight, Siri, and Safari at Apple. He blends deep NLP research—ACL/EMNLP/CONLL–level work on debiasing contextual embeddings and novel NLG architectures—with practical engineering, having shipped conversational and retrieval-augmented solutions at Microsoft and Apple. A Carnegie Mellon MS with a perfect GPA, he has repeatedly translated research into measurable gains (e.g., higher correlation with human bias measures and double-digit ROUGE/NLG improvements). Beyond product work, he founded a platform to connect researchers with opportunities and has a track record mentoring and leading research initiatives across top universities. Notably, his background spans both algorithmic innovation in latent fusion and pointer-network techniques and hands-on deployment for cross-platform mobile inference.
11 years of coding experience
3 years of employment as a software developer
Bachelor’s Degree Computer Science, Bachelor’s Degree Computer Science at The LNM Institute of Information TechnologyMaster of Science - MS Computer Science- Machine Learning, Natural Language Processing, Deep Learning, Master of Science - MS Computer Science- Machine Learning, Natural Language Processing, Deep Learning at Carnegie Mellon University
English, Hindi
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (71)
rgb10
twitter10
sentiment-analysis10
classifiers10
mysql-db10
statistical-models10
natural-language-processing10
text-mining10
algorithms10
consensus10
ngram10
statistical-inference10
desktop-application9
regression-models9
mnist-dataset9
Programming languages (9)
Github contributions (5)
ayushoriginal/News-Feed-and-Digest
Jul 2016 - Mar 2017
:cow:JAVA DESKTOP APPLICATION with mySQL DB:rabbit: This application can fetch news :newspaper: in the form of summaries from news agencies around the world. The news items are categorized :book: based on topics and the user can signup for an account which will give him access to personalized news based on his preference.
Contributions:6 commits, 5 pushes, 1 branch in 8 months
desktop-applicationjavamysql-db
ayushoriginal/Ngram-Graphs
Oct 2016 - Jan 2018
:mortar_board:RESEARCH [NLP] Analysis of N-gram Graphs and their applications in the domain of Text Classification and Extraction based Summarization
Contributions:35 commits, 1 PR, 525 pushes in 1 year 3 months
natural-language-processingngramtext-classification
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