Meta AI

research scientist intern
(London, UK)
  • Incoming (Fall 2024)

Together AI

research intern
(San Francisco, CA)
  • Incoming (Summer 2024)

Microsoft Research

research intern
(Redmond, WA)
  • Physics of AGI research group led by Sébastien Bubeck
  • Developed activation function search techniques for large-scale LLM pretraining
  • Developed learning curve extrapolation techniques to ablate architectural choices in transformers
  • Technologies used: Python, PyTorch, Hugging Face

Amazon AI

applied scientist intern
(Seattle, WA)
  • AWS Transcribe research group led by Katrin Kirchhoff
  • Researched and developed methods for hypothesis rescoring in ASR systems using neural language modeling
  • Identified areas for improvement in many existing ASR systems when recognizing rare or zero shot entities
  • Technologies used: Python, PyTorch, RWTH ASR, Kaldi, AWS

UnifyID

ai fellow
machine learner intern
(Redwood City, CA)
  • UnifyID research lab fearlessly led by Vinay Uday Prabhu
  • Researched various ways in which research from network neuroscience could be applied to deep learning
  • Developed a novel model extraction attack against deep learning models for computer vision using just noise inputs
  • Technologies used: Python, Keras, PyTorch, TensorFlow, MATLAB, AWS

Intuit

software engineering intern
(Mountain View, CA)
  • Intuit Technology Futures research group
  • Researched and implemented a novel deep learning model for controllable text generation as a service within Intuit
  • Developed a system for proposing alternative candidate sentences for Intuit content writers using deep learning
  • Investigated the use of dynamic topic models for customer support tickets to gain actionable insights over time
  • Technologies used: Python, PyTorch, TensorFlow, Gensim, Keras

Altum

applied scientist intern
(La Jolla, CA)
  • Developed language model to extract NLP features from text data regarding cryptocurrency trading
  • Investigated unsupervised learning techniques for extracting sentiment data in real time from online forums
  • Technologies used: Python, PyTorch

Teradata

software engineering intern
(San Diego, CA)
  • Developed open source Spark-Teradata connector forked from Databricks’ connector for AWS Redshift in Scala
  • Designed and implemented Teradata stored procedures in Java to mimic Redshift’s UNLOAD and COPY using S3
  • Improved training methodology and architecture of deep learning time series model used internally
  • Implemented system for updating the time series dataset and fine tuning the deep learning model
  • Technologies used: Scala, Java, Maven, Teradata SQL, AWS, Tensorflow, Flask

The Comeback Community

volunteer full stack developer
(remote/Fresno, CA)
  • Developed site in Go, gohtml, and CSS on Google App Engine
  • Mentored new developers in web development
  • Technologies used: Go, Google App Engine, gohtml, HTML5, CSS3, JavaScript

Skqrl

software engineering intern
(La Jolla, CA)
  • Developed web crawler to compile needfinding and product data using Scrapy and Selenium
  • Designed and implemented an extensible product search solution designed to handle future user search needs
  • Technologies used: Python, Scrapy, Selenium, Django, MySQL, JavaScript

ModSpot

software engineering intern
(remote)
  • Implemented new user account, edit profile, and login designs in Objective-C for iOS application
  • Refactored analytics code for gathering statistics on app usage, helping designers make more informed choices
  • Technologies used: Objective-C, Cocoa Touch, Flurry Analytics