Aman Jaiman

I'm a Software Engineer at Microsoft who recently graduated with his CS Masters from the University of Maryland.

I've been coding for most of my life. I want to apply technology in industries of interest to me to make a change in people's lives: Esports, Politics, Sports, Healthcare, etc. Most recently, I was a two time SWE Intern at Microsoft, and joined the Microsoft Esports team full-time. I also developed a new app for the Overwatch League community. The app was used by thousands of people around the world, and I worked with the largest team in the league to help make social media posts using the simulations from the app.

Languages: C#, Python, JavaScript, TypeScript, Java, C, Ruby, Golang, OCaml
Frameworks: Django, React, FAST.design, .NET Framework, ASP.NET MVC, Bootstrap
Topics: Machine Learning, Data Science, Data Visualization, Full-Stack Development

My Résumé

Recent Work

OWL Interactive Standings

I developed an interactive way for users to see which teams in the Overwatch League would qualify for the upcoming tournaments. The standings reflect the user's predictions of the games that lead up to the tournament.

Zero-Shot Translation for Indian Languages

For my MNLP research project, I performed zero-shot translations for Indian languages to explore how different similarity metrics impact the performance of the translation.

Analysis of COVID-Twitter-BERT

We perform multiple extension studies on the original COVID-Twitter-BERT model. We reveal insights that go against the original paper, specifically that the results do not hold across other datasets.

SWE Intern at Microsoft

I worked on onboarding Azure Kubernetes Services to Azure Event Grid to provide customers with actionable events. Along the way, we also simplified the onboarding process for any Azure service.

Using Recurrent Architectures to Generalize From Easy to Hard Problems in Image Denoising

We propose easy-to-hard generalization for image denoising... We find that a recurrent architecture is significantly smaller than SOTA models while maintain similar performance.

COVID-19 Social Distancing Visualization

We developed a web app to visualize public mobility throughout the COVID-19 pandemic, including how specific indicators like restaurant visits changed in different states, how public policy impacted mobility, and how different demographics reacted to the pandemic.