Skills

Software

Design data pipelines to tackle real-life problems.

Hardware

Build the correct hardware and computer system for the domain specific task at hand.

Statistics

Understand and explain the problem using fundamental mathmatical properties.

Experience

 
 
 
 
 

System Architecture Intern

NVIDIA

Jun 2019 – Sep 2019 Santa Clara, California
  • Simulated communication latency between hardware units under different conditions
  • Analyzed code coverage information across thousands of compute and graphic tests by building a database flow
  • Generated new compute and graphic tests that maximized code coverage using the aforementioned database
 
 
 
 
 

Student Researcher

Stanford Molecular Imaging Instrumentation Laboratory

Jun 2018 – Dec 2018 Palo Alto, California
  • Developed a 3D generative adversarial network model for automatic PET/MR attenuation map generation
  • Executed research, constructed models, and communicated findings to senior lab members
  • Created metrics and codebase for automated reporting of model accuracy
 
 
 
 
 

Data Analyst Intern

Caine Mitter& Associates Incorporated

Jun 2017 – Aug 2017 New York, NY
Performed quantitative analysis of municipal bond data. Created a digital database of Request for Proposals to be used for work projection.
 
 
 
 
 

Student Researcher

Weill Cornell Medical College

Sep 2016 – Jun 2018 New York, NY
Performed low-level local feature analysis of natural, medical, and other different groups of images. Research project focused on computational/statistical analysis of human vision and MRI images
 
 
 
 
 

IT Project Management Intern

Guardian Life Insurance

Jun 2016 – Sep 2016 New York, NY
Organized project statuses and the software development life cycle (SDLC) process using the Waterfall Agile model. Engaged in a project to migrate the company’s datacenter into the AWS cloud platform.

Projects

*
All Computer Vision and Medical Images Natural Language and Music Other

Music Generation with LSTMs

We explore several techniques for generating music using deep neural networks,specifically Long Short-Term Memory networks (LSTMs) and attention-based LSTMs.

Recent Publications

Quickly discover relevant content by filtering publications.

Development of image processing systems and algorithms is often guided by the strategies used by the human visual system. A main …
PDF