Experience
Industry Positions
Paige.AI | AI Engineer
NYC, NY
March 2020 – Present
- Working on deep learning algorithms which transform the diagnosis of cancer.
Facebook Business Integrity ML | Software Engineer
Menlo Park, California
August 2019 – March 2020
- Building ML systems (vision, NLP) to detect and reduce prevalence of harmful political ads across FB apps
Facebook AI / Cornell Tech | Researcher/Contractor
NYC, NY
June 2019 – August 2019
- Working towards counterfeit ID detection via generative methods such as
StyleGAN, FineGAN.
- Fine-tuning existing detection and recognition methods (e.g. Rosetta) for text in IDs
Facebook Ads Ranking | Software Engineering Intern
Menlo Park, California
June 2018 – August 2018
- Incorporating ad preview images into categorizing them using embedding and attentional techniques from recent deep learning research. (Caffe2)
- Involved extensive usage of Facebook’s internal image representation algorithms and database querying libraries.
Google Cloud | Software Engineering Intern
Mountain View, California
May 2017 – August 2017
- Using weakly supervised ML and graph theory to analyze the difficulty of
image classification problems, where image labels are given through crowd-compute sources.
- Extensively used Google's internal tools for MapReduce and database querying, along with
their internal embedding of images.
The Human Diagnosis Project | Engineering Intern
Remote
December 2016 – February 2017
- Using neural network theory to work on machine translation of patient
diagnoses.
- Building a Tensorflow framework for sequence-to-sequence models allowing
for customization in any component of the overall model.
Meanwise | AI Team Lead
Remote
June 2016 – November 2016
- Using standardized machine learning techniques to simplify the process of
finding jobs and hiring by automatically matching talent with companies based
on personality and organizational culture.
- Using IBM’s Watson API to build a prototype app for categorizing and ranking
candidates for various job descriptions.
Cornell Tech | Undergraduate Researcher
New York City, NY
June 2016 – August 2016
- Re-implementing a CV study to recognize in-situ groceries using Tensorflow.
- Building convolutional nets specifically for the task of recognizing groceries on
the shelf using genetic algorithms.
National Center for Biotechnology Information | Research Intern
Bethesda, MD
June 2014 – August 2014
- Clustering of regulatory elements in the human genome using scalable modules
in Python and parallel processing.
- Modeled functional ties between enhancers and silencers mathematically to
explain the relation between tissue-specificity of groups of regulatory elements
and functional/genomic significance
George Mason University | Research Intern
Manassas, VA
June 2013/15 – August 2013/15
- Used linear algebra and random matrix theory (in Java) to analyze correlations
between mutations in common viruses, such as the influenza virus (2013).
- Investigated genomic sequences associated with protein interfaces possessing
unusual attributes, such as statistically significant segments of complementary
sequences using numerical analysis modules available in Python (2015).
Skills
- Programming Languages (Expert Proficiency):
Python, Java, C++, MATLAB, Octave, Julia
- ML Frameworks:
PyTorch, TensorFlow, Theano, Caffe, Keras
- Web Development / Document Preparation: LaTeX,
HTML5, CSS, Bootstrap, Jekyll
- Miscellaneous: git, hg