Summary
Veena Vijai is a software engineer with nine years of experience, specializing in machine learning applications for audio and speech and currently building personalized recommenders at Amazon Music before moving to X, The Moonshot Factory. She holds an M.S. in Electrical and Computer Engineering from USC and has a strong research background across speech in multiple languages, EEG, bioacoustics, and multimodal time-series data from internships at Cornell Lab of Ornithology, IISc, and USC. Proficient in C/C++, Python, MATLAB, TensorFlow, and PyTorch, she bridges research and production engineering to ship scalable ML systems. Her career blends applied science roles (Amazon Lab126) and research internships with product-focused software engineering, giving her a pragmatic approach to model development and deployment. Outside work she channels a long-standing interest in music, theater, and team sports—experiences she credits for honing collaboration, deliberate practice, and communication skills. Based in Seattle, she prefers email contact over LinkedIn for professional outreach.
9 years of coding experience
3 years of employment as a software developer
Master of Science Electrical and Computer Engineering, Master of Science Electrical and Computer Engineering at University of Southern California
BITS Pilani, Birla Institute of Technology and Science
High School (CBSE) Physics Chemistry Math Computer Science, High School (CBSE) Physics Chemistry Math Computer Science at Delhi Public School, Bangalore South
English, Hindi, Spanish