Michael Gira

Michael Gira

Full Stack Developer

Hello! I am a recent graduate from the University of Wisconsin–Madison and a software engineer at Microsoft.

09+years of
Worked at
Microsoft logo3M logo


  • Angular
  • React
  • React Native
  • Redux
  • Sass
  • Webpack
  • HTML
  • CSS


  • MySQL
  • PostgreSQL
  • MongoDB
  • Redis
  • Flask
  • Firebase


  • Docker
  • PyTorch
  • TensorFlow
  • Python
  • Java
  • C#
  • Node.js
  • TypeScript
  • AWS
  • Azure
  • CI / CD
  • UI / UX


The best video chat app to meet your next friends on campus.

React Native for Web, Node.js, Redis, PostgreSQL, WebSockets

Led a team of 8

Friends laughing and smiling at each other through their phones


Using Augmented Reality (AR) and up to 1-meter accurate indoor positioning, Clairvo is the clairvoyant navigation app that will direct your guests throughout any venue.

Built native Swift app

Leveraged ARKit and ARCore to guide users via Augmented Reality

Mapped Wi-Fi and magnetic patterns within buildings for indoor positioning with up to 1-meter accuracy

Man walking to destination


The ultimate node.js library for controlling Bitcraze Crazyflie 2.0 drones.

Open-source TypeScript npm library

Manipulated hexadecimal values to craft packets sent to the drone

01,000downloads on npm
Michael smiling in front of a drone


A school portal to help organize your student life at MICDS.

Angular, TypeScript, Node.js, MongoDB

Led a team of 3, mentored additional 3

01,200registered accounts
0350daily active users
Homepage of MyMICDS.net


Debiasing Pre-Trained Language Models via Efficient Fine-Tuning

Michael Gira, Ruisu Zhang, Kangwook Lee

Association for Computational Linguistics (ACL), Second Workshop on Language Technology for Equality, Diversity and Inclusion, 2022

LIFT: Language-Interfaced Fine-Tuning for Non-language Machine Learning Tasks

Tuan Dinh, Yuchen Zeng, Ruisu Zhang, Ziqian Lin, Michael Gira, Shashank Rajput, Jy-yong Sohn, Dimitris Papailiopoulos, Kangwook Lee

Advances in Neural Information Processing Systems (NeurIPS), 2022

Super-Resolution Emulation of Large Cosmological Fields with a 3D Conditional Diffusion Model

Adam Rouhiainen, Michael Gira, Moritz Münchmeyer, Kangwook Lee, Gary Shiu

Neural Information Processing Systems (NeurIPS), Workshop on Machine Learning and the Physical Sciences, 2023

Let's get in touch.

Designed and built by Michael Gira © 2021–2024