Summary
Pramika Garg is an Associate Software Engineer at Qualcomm with five years of experience building distributed systems, backend infrastructure, and generative AI solutions. She has a strong applied-research background—having worked on federated learning at EPFL and shipped production features during internships at GE Aerospace and Expedia—bringing both experimentation and production discipline to her work. A Microsoft Learn Ambassador and Google Generation Scholar, she routinely translates complex data science workflows into user-facing dashboards and automated pipelines, as she did for MS Engage’22. Beyond engineering, Pramika has mentored open-source contributors and led community events, showing a knack for growing technical communities alongside shipping code. Based in Amritsar, she blends broad academic exposure across VIT, McMaster and professional programs with hands-on experience in scalable ML and cloud-native systems.
5 years of coding experience
3 years of employment as a software developer
Bachelor of Technology Computer Science & Engineering, Bachelor of Technology Computer Science & Engineering at Vellore Institute of Technology
English, Hindi, Punjabi, French