Garvita Bajaj is a software engineer and PhD scholar in mobile computing with 11 years of experience combining academic research and industry-grade engineering. Currently at Apple after quantitative-tech roles at AQR, she blends deep systems and data analysis expertise with hands-on software development. Her research footprint includes 320+ citations and international research internships at Inria, reflecting a strong publication and experimental background. Multilingual in programming and active as a blogger, she brings both technical communication skills and a curiosity-driven approach to problem solving. Based in Hyderabad, she frequently bridges theory and practice—turning mobile and data-driven research insights into production-quality solutions.
11 years of coding experience
2 years of employment as a software developer
Bachelor of Technology (B.Tech.) - Hons., Computer Science, Bachelor of Technology (B.Tech.) - Hons., Computer Science at Institute of Technology and Management, Gurgaon, India
Mount Carmel School, Anand Niketan, Delhi
Doctor of Philosophy (PhD), Mobile Computing, CGPA 9.10, Doctor of Philosophy (PhD), Mobile Computing, CGPA 9.10 at Indraprastha Institute of Information Technology, Delhi
Mew is an open-source Mobile Crowdsensing framework aimed at facilitating MCS application development. Mew is currently available for Android platform (API 16 and above) and implemented as a distributed platform with two components - a server and an Android library. The server component is developed as an Eclipse project (Java v. 1.8) and offers a plug-n-play environment to developers to implement new task allocation algorithms as per their requirements.
Contributions:47 commits, 2 PRs, 33 pushes in 1 year 9 months
Contributions:7 PRs, 26 pushes, 6 branches in 2 months
collaborative-projectiiitinriamobilitytravelers
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