Software Engineer @ Intuit
MS Computer Science @ UT Austin
A glimpse into my current focus
Last updated: February 2026
Highlights and projects I'm proud of
Published patent on using graph-based convolutional neural networks to detect and correct anomalous network system behavior. Developed during my internship at Viasat.
Read more →I'm working on some cool projects. Check back later!
My professional experience and education
Working on the Adversary Management Platform Experience team, building systems to protect customers from fraud and security threats.
Speech AI team building Automated Speech Recognition, Realtime Speech, Customization, Diarization, and Dictation capabilities for Oracle Cloud.
Built and maintained the OCI AI Speech Service, enabling customers to transcribe audio to text with high accuracy.
Developed ML architectures for network anomaly detection. Patent published on graph-based CNN for detecting anomalous network behavior. Achieved 92% accuracy (up from 71%).
Expanded CodePath's iOS Development Course to Texas Tech University. Mentored students and developed iOS applications with Swift and Xcode.
Coursework: Natural Language Processing, Deep Learning, Reinforcement Learning, Advanced Operating Systems.
Research-focused CS education with a minor in Mathematics. Cool courses: Machine Learning (Graduate), Virtual Reality, Parallel Programming, Computer Networks.
Thoughts, tutorials, and things I've learned
Stay tuned for thoughts on software engineering, ML, and life in San Diego.
I'm always open to interesting conversations, collaboration opportunities, or just saying hi!
Or just email me directly:
tewaririshabh1@gmail.com