Research Engineer
NYU Langone Health
Research Engineer at NYU Langone Health
Applied machine learning for healthcare and computer vision.
I am a research engineer based in New York. I currently work at NYU Langone Health and am pursuing an M.S. in Computer Science at Georgia Institute of Technology.
Before NYU Langone, I worked on machine learning at Woven by Toyota and deep learning for geospatial workflows at Esri.
Focus
Clear focus, practical systems.
My background is in applied machine learning, computer vision, deep learning, robotics, and geospatial AI. I care about turning research ideas into systems that are usable in real workflows.
At Esri, I contributed to the learn module of ArcGIS API for Python, helping GIS users prepare data, train models, and deploy deep learning workflows.
Experience
Recent work
Machine Learning Engineer
Woven by Toyota
Visiting Researcher
The University of Texas at Austin, with Dr. Yuke Zhu
Research Intern
King Abdullah University of Science and Technology, with Dr. Mohamed Elhoseiny
Data Scientist II
Esri R&D Center
Machine Learning Intern
Esri R&D Center
Education
Academic background
M.S. Computer Science
Georgia Institute of Technology
B.Tech Electronics and Communication Engineering
Maharaja Agrasen Institute of Technology, Guru Gobind Singh Indraprastha University
Writing
Selected posts
Generative modeling
Implementing SPADE using fastai
Semantic image synthesis with spatially-adaptive normalization and fastai.
GeoAISwimming pool detection and classification using deep learning
Object detection and classification workflows for geospatial imagery.
Computer visionNot just another GAN paper - SAGAN
A practical walkthrough of self-attention in generative adversarial networks.
RobustnessTackling Adversarial Examples : Introspective CNN
Notes on model behavior, adversarial examples, and robust image classification.