Paridhi Maheshwari
Applied Scientist at Amazon
Palo Alto, California, United States
Summary
🤩
Rockstar🎓
Top SchoolParidhi Maheshwari is an Applied Scientist at Amazon with six years of experience bridging academic research and product-focused ML, currently completing an MS in Computer Science (AI) at Stanford. She has a strong research pedigree from Adobe Research and IIT Kanpur, where her award-winning undergraduate thesis and publications drove advances in speech enhancement and knowledge-graph construction. At Stanford she taught and researched conversational assistants and graph machine learning with leaders like Jure Leskovec and Monica Lam, and brings hands-on experience taking ideas from papers to deployed systems. Paridhi is motivated by customer-facing ML problems—particularly NLP, graph ML, and information retrieval—and combines rigorous experimental skills with product-oriented impact. An uncommon strength is her track record of translating academic innovations into industrial outcomes, including published work and a US patent from an internship.
6 years of coding experience
5 years of employment as a software developer
Indian Institute of Technology KanpurClass X AISSE Board, 10.0/10.0, Class X AISSE Board, 10.0/10.0 at Bharatiya Vidya Bhavans Public SchoolClass XII State Board of Intermediate Education, 98.4%, Class XII State Board of Intermediate Education, 98.4% at Narayana Junior College - IndiaMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at Stanford University
Github Skills (38)
predict10
retrieval10
pytorch9
nlp9
graph-convolutional-networks8
graph-neural-network8
deep-learning8
natural-language-processing8
graph8
geometric-deep-learning8
bert7
proteins6
dialog6
neural-network5
molecule5
Programming languages (3)
Github contributions (5)
paridhimaheshwari2708/paridhimaheshwari2708.github.io
Nov 2019 - Mar 2022
Contributions:12 pushes, 1 branch in 2 years 4 months
paridhimaheshwari2708/GraphSSL
Nov 2021 - Dec 2021
Contributions:14 commits, 23 pushes, 1 branch in 11 days
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