# Krishna Aditya Gabbita

> Staff Software Engineer at Facebook

Location: San Francisco Bay Area, United States
Profile: https://flows.cv/krishnaadityagabbita

I am currently working on Small and Medium Business growth in Instagram at Facebook. Previously, I worked on Maps and Geospatial search at Uber. I was a graduate student in the School of Computer Science at Carnegie Mellon, and obtained a Master of Science in Computer Science.

## Work Experience
### Staff Software Engineer @ Instagram
Jan 2020 – Present | San Francisco Bay Area
- Growing the presence of Small and Medium Businesses on Instagram, and onboarding millions of new professionals onto Instagram
- Discovery of small businesses for over a billion users

### Staff Software Engineer @ Facebook
Jan 2020 – Present | San Francisco Bay Area

### Senior Software Engineer @ Uber
Jan 2016 – Jan 2020 | San Francisco Bay Area
- Predicted pickup and dropoff locations at scale, which significantly improved the rider and driver experience on Uber’s platform
- Inferred map data attributes, to reduce the time spent by humans in building and updating maps

### Software Engineering Intern @ Microsoft
Jan 2015 – Jan 2015 | Greater Seattle Area
I was an intern in the Bing Geospatial - Machine Learning for Maps team. I worked on predicting entrances for buildings.

### Graduate Teaching Assistant @ Carnegie Mellon University
Jan 2015 – Jan 2015
Teaching Assistant for 10-601A: Machine Learning

### Intern @ Neustar MarketShare
Jan 2014 – Jan 2014 | Bengaluru Area, India
I worked on optimizing MapReduce parameters for the core data pipelines. I also implemented and deployed a customer requisition application to efficiently onboard new clients.

### Undergraduate Research Assistant @ Birla Institute of Technology and Science, Pilani
Jan 2013 – Jan 2013 | Chirawa Area, India
I developed a framework for efficient dynamic classification, to solve challenges in concept drift and evolution by generating novel classes and updating decision boundaries. I leveraged a semi-supervised clustering approach validated by distance and membership metrics.

### Research Assistant @ The University of Göttingen
Jan 2012 – Jan 2012 | Göttingen Area, Germany
I worked in the chair of Development Economics in the Department of Economics of Georg-August-Universität, Göttingen. I performed quantile regression analysis and modeled data for the NFHS & DLHS datasets, to quantify the effect of piped water supply on Infant Mortality Rate.


## Education
### M.S. in Computer Science in Computer Science
Carnegie Mellon University

### BE(Hons.) Computer Science & MSc(Hons.) Economics in Computer Science & Economics
Birla Institute of Technology and Science, Pilani

### Delhi Public School - R. K. Puram


## Contact & Social
- LinkedIn: https://linkedin.com/in/adityagabbita
- GitHub: http://github.com/adityagabbita

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Source: https://flows.cv/krishnaadityagabbita
JSON Resume: https://flows.cv/krishnaadityagabbita/resume.json
Last updated: 2026-04-12