Engineer Python
Resume:
SHIVA UPADHYE
650-***-**** ********@****.***
EDUCATION
University of California, San Diego 2020
Bachelor of Science in Cognitive Science
Specialization in Machine Learning and Neural Computation Minor in Mathematics
SKILLS
Programming: Python, Bash Scripting, C++, Clojure, R, MATLAB, Java Libraries: PyTorch, TorchVision, TorchText, Scikit-Learn, NLTK, AllenNLP Tools and Methodologies: git, LaTex, Unix Tools, SPSS, AWS
WORK EXPERIENCE
IFOS Corporation October 2020 - Present
AI and Data Analytics Engineer San Jose
Writing Python/MATLAB software for analyzing ber optic sensor data.
Researching ML algorithms for fiber optics applications.
National Center for Microscopy and Imaging Research October 2019 - Mar 2020 Computational Neuroscience Internship UC San Diego
Worked on the further development of CDeep3m (Haberl et al. 2018) - an open science image seg- mentation software for reconstructing cellular features from 3D volumetric electron microscopy datasets.
Wrote scripts for coordinating preprocessing and postprocessing of images, and running predic- tions and inferences on large-scale 3D electron microscopy images.
RESEARCH EXPERIENCE
Computational Linguistics Lab Jan 2020 - June 2020 Undergraduate Researcher UC San Diego
Faculty Advisors: Andrew Kehler and Leon Bergen
Worked on research investigating the ability of neural language models to perform incremental discourse interpretation.
Developed and implemented an experimental framework for querying pronoun interpretation preferences in autoregressive, transformer-based models.
Analyzed performance of models on stimuli against established experimental results to study the degree to which the pronominalization biases exhibited by the models were mediated by verb semantics and coherence relations.
PUBLICATIONS
Upadhye, S., Bergen, L., & Kehler, A. (2020) Predicting Reference: What do language models learn about discourse models?
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing
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