Pavithra Vijayakrishnan is a software engineer based in Cupertino with two years of industry experience building backend systems and CI/CD infrastructure at major tech companies including NVIDIA and Amazon. She combines a strong academic foundation in machine learning from Aalto University with hands-on experience in Java, AWS, and Python across roles from research on MIMO and semi-supervised activity recognition to production-facing identity and payments services. At Amazon Pay she focused on ensuring backward compatibility in CI/CD and resolving legacy issues, and earlier work spans full-stack and authentication systems with GDPR-sensitive data handling. Comfortable moving between research and production, she brings a track record of translating academic prototypes into deployable solutions and a keen eye for UX and documentation that improves long-term maintainability.
2 years of coding experience
3 years of employment as a software developer
Master's degree with Honors Computer Science (Machine Learning Big data and Large-scale computation), Master's degree with Honors Computer Science (Machine Learning Big data and Large-scale computation) at Aalto University
Bachelor of Technology - BTech Computer Engineering, Bachelor of Technology - BTech Computer Engineering at Model Engineering College
CBSE Computer Science, CBSE Computer Science at Cochin Refineries School - India
The Triton Inference Server provides an optimized cloud and edge inferencing solution.
Contributions:3 releases, 36 reviews, 56 PRs in 1 year
nvidia-dockernvidiadeep-learninggpuinference
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Pavithra Vijayakrishnan - Software Engineer at NVIDIA