I am a Machine Learning Engineer at Goldman Sach’s Machine Learning Modeling team. The team of seven is led by Professor Charles Elkan. I received my B.A. and M. Eng from Cornell University in computer science. My undergraduate research was advised by Professor Deborah Estrin in her Small Data Lab . My graduate research was advised by Professor Serge Belongie in his SE3 computer vision lab.

My current interests broadly lie in deploying machine learning applications at scale. Some applications of ML that are of interest to me are computer vision, recommendation systems, and finance. My most recent work explores work in detecting anomalies in unsupervised settings at scale, few-shot image generation, adverserial training, few-shot text generation, and recommendation frameworks. Productizing my work has always been of interest to me. On the product end, I’ve explored and built products including the Grammarly for doctors, a VR based classorm, and natural language queries of large unorganized datasets. I am currently building an ML driven scalable time series data monitoring platform.

Publication

Fine-grained Synthesis of Unrestricted Adversarial Examples [paper] [code] (Rejected for ICLR 2021. Paper and code coming soon)
Omid Poursaeed, Tianxing Jiang, Yordanos Abraham Goshu, Harry Yang, Serge Belongie, Ser-Nam Lim

Interpolative AutoEncoders for Unsupervised Few-Shot Image Generation [paper] [code] (Rejected for ECCV 2020. Paper and code coming soon)
Davis Wertheimer, Omid Poursaeed, Yordanos Abraham Goshu, Bharath Hariharan

Work Experience

Machine Learning Engineer, Goldman Sachs, 07/20 - Present

Software Engineer, Goldman Sachs, 07/18 - 08/19

Software Engineer Intern, Facebook, 06/17 - 08/19

Contributions to papers and projects

Adverserial Training
- paper
- code
Few-shot text generation
- paper
- code
OpenRec
- paper
- code

Start ups

Awards and Honors!

Extracurricular

I have devoted a lot of my non-engineering efforts to diversity initiatives throughout my professional career. I founded Underrepresented Minorities in Computing, which became a driving force of increasing minority entrance and retention in the computer science department at Cornell. Our supporters include many large tech firms and the CS department. I additionally was a section leader in /dev/color, an organization that aims to empower Black software engineers to help one another grow into industry leaders.

Additionally, I enjoy playing and watching both soccer (Barcelona!) and basketball (Chicago Bulls!). I also am trying to learn how to cook :)

Let’s Connect

You can reach me directly at yag3@cornell.edu

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