Gunnika Batra is a machine learning engineer with eight years of experience, currently at Intuit after an R&D role at the Qualcomm Institute where she advanced diffusion-based audio generation and built a “Shazam for the brain” using biosignals. She holds an MS in Computer Science from UC San Diego and has applied deep generative models, statistical NLP, and multimodal architectures across health-tech, retail, and ed-tech startups. Her work spans the full ML lifecycle—from data wrangling and feature engineering to production deployment—and includes validated sleep-quality prediction models and peer-reviewed research. A former founding team member of an AI education startup, she’s skilled at translating complex research into teaching, products, and scalable pipelines that have impacted thousands of learners. Based in Mountain View, she combines academia-grade R&D with production instincts and a knack for mentorship and cross-functional collaboration.
8 years of coding experience
4 years of employment as a software developer
University of California, San Diego
Deep Learning Nanodegree, Deep Learning Nanodegree at Udacity
Bal Bharati Public School
Bachelor of Technology - BTech Information Technology, Bachelor of Technology - BTech Information Technology at Guru Gobind Singh Indraprastha University
Contributions:8 commits, 9 pushes, 1 branch in 2 years 1 month
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