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Meta AI
research scientist intern
(London, UK)
Together AI
research intern
(San Francisco, CA)
Microsoft Research
research intern
(Redmond, WA)
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Physics of AGI research group
led by Sébastien Bubeck
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Developed activation function search techniques for large-scale LLM pretraining
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Developed learning curve extrapolation techniques to ablate architectural choices in transformers
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Technologies used:
Python, PyTorch, Hugging Face
Amazon AI
applied scientist intern
(Seattle, WA)
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AWS Transcribe research group
led by Katrin Kirchhoff
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Researched and developed methods for hypothesis rescoring in ASR systems using neural language modeling
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Identified areas for improvement in many existing ASR systems when recognizing rare or zero shot entities
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Technologies used:
Python, PyTorch, RWTH ASR, Kaldi, AWS
UnifyID
ai fellow
machine learner intern
(Redwood City, CA)
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UnifyID research lab
fearlessly led by Vinay Uday Prabhu
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Researched various ways in which research from network neuroscience could be applied to deep learning
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Developed a novel model extraction attack against deep learning models for computer vision using just noise inputs
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Technologies used:
Python, Keras, PyTorch, TensorFlow, MATLAB, AWS
Intuit
software engineering intern
(Mountain View, CA)
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Intuit Technology Futures research group
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Researched and implemented a novel deep learning model for controllable text generation as a service within Intuit
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Developed a system for proposing alternative candidate sentences for Intuit content writers using deep learning
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Investigated the use of dynamic topic models for customer support tickets to gain actionable insights over time
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Technologies used:
Python, PyTorch, TensorFlow, Gensim, Keras
Altum
applied scientist intern
(La Jolla, CA)
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Developed language model to extract NLP features from text data regarding cryptocurrency trading
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Investigated unsupervised learning techniques for extracting sentiment data in real time from online forums
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Technologies used:
Python, PyTorch
Teradata
software engineering intern
(San Diego, CA)
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Developed open source Spark-Teradata connector forked from Databricks’ connector for AWS Redshift in Scala
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Designed and implemented Teradata stored procedures in Java to mimic Redshift’s UNLOAD and COPY using S3
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Improved training methodology and architecture of deep learning time series model used internally
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Implemented system for updating the time series dataset and fine tuning the deep learning model
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Technologies used:
Scala, Java, Maven, Teradata SQL, AWS, Tensorflow, Flask
The Comeback Community
volunteer full stack developer
(remote/Fresno, CA)
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Developed site in Go, gohtml, and CSS on Google App Engine
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Mentored new developers in web development
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Technologies used:
Go, Google App Engine, gohtml, HTML5, CSS3, JavaScript
Skqrl
software engineering intern
(La Jolla, CA)
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Developed web crawler to compile needfinding and product data using Scrapy and Selenium
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Designed and implemented an extensible product search solution designed to handle future user search needs
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Technologies used:
Python, Scrapy, Selenium, Django, MySQL, JavaScript
ModSpot
software engineering intern
(remote)
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Implemented new user account, edit profile, and login designs in Objective-C for iOS application
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Refactored analytics code for gathering statistics on app usage, helping designers make more informed choices
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Technologies used:
Objective-C, Cocoa Touch, Flurry Analytics