cv
General Information
Full Name | Nilay Patel |
Languages | English, German (beginner) |
Education
- 2022→
Ph.D. in Computer Science
University of California, Santa Cruz
- Working with Jeff Flanigan and JLab on NLP problems
- 2020→2021
M.S. in Natural Language Processing
University of California, Santa Cruz
- GPA: 3.93
- 2016→2020
B.S. in Computer Science, Applied Math
Florida State Univeristy
- GPA: 3.70 (3.91 in major) cum laude
Graduate coursework
Mathematics | Real Analysis, Measure Theory, Group & Ring Theory, Abstract Linear Algebra |
AI/NLP | NLP (I-III), Advanced Deep Learning, Data Wrangling |
Miscellaneous | Linguistics (for Computer Scientists), Advanced Algorithms |
Work Experience
- 2023
Applied Scientist Intern
Amazon AI
- Working on state-of-the-art NLP/AI research in question answering.
- 2020, 2021→2022
Software Engineer
Cognitive GeoInterpretation Inc.
- Designed and productionized state-of-the-art geophysical image segmentation AI.
- Researched and implemented new methods for improving AI image segmentation performance
- Improved overall AI training and inference speed
- A complete (solo) redesign and rewrite of our data storage and loading software to improve speed, scalability, usability, and maintainability (halved total code).
- Designed and productionized state-of-the-art geophysical image segmentation AI.
- 2018
Frontend Software Developer
Diverse Computing Inc.
- Developed web applications for various law enforcement applications. Responsibilities included:
- Developing the front-end in AngularJS
- Writing comprehensive end-to-end test suites
- Designing efficient databases
- Developed web applications for various law enforcement applications. Responsibilities included:
- 2014→2020
Private tutor
Self-employed
Academic Interests
-
Natural Language Processing
- Compositional models of language
- Autoformalization (translating natural-language math to a formalized language)
- Automated Theorem Proving
- Machine translation, especially low-resource
-
Machine Learning
- Interpretability and designing intuitive models
- Reasoning (formal and commensense)
-
Mathematics (as a hobby)
- Statistics/Probability
- Category Theory