
Neel Shah
Software Engineer
LinkedIn Profile
About
Neel Shah is a Software Engineering Intern at Nettle, where he contributes to developing scalable, data-driven systems that seamlessly bridge AI and modern software infrastructure. Currently pursuing his Master of Science in Computer Software Engineering at San José State University, where he maintains a 4.0 GPA and ranks in the top 5% of his cohort, Neel’s work reflects both academic excellence and practical innovation. He has already contributed to two open-source projects with over 1,000 GitHub stars combined, further underscoring his growing impact in the field.
During his recent internship at a Series B AI infrastructure startup, Neel built full-stack features and cloud-native integrations for more than six months, supporting real-time data pipelines handling 5 million events per day. Operating at a scale that demanded high availability and low latency, his solutions set new benchmarks in system reliability and developer velocity. Under his contributions, the platform not only accelerated core product workflows but also earned internal recognition, winning the “Most Impactful Intern Project” award from the engineering leadership in 2024.
About
Neel Shah is a Software Engineering Intern at Nettle, where he contributes to developing scalable, data-driven systems that seamlessly bridge AI and modern software infrastructure. Currently pursuing his Master of Science in Computer Software Engineering at San José State University, where he maintains a 4.0 GPA and ranks in the top 5% of his cohort, Neel’s work reflects both academic excellence and practical innovation. He has already contributed to two open-source projects with over 1,000 GitHub stars combined, further underscoring his growing impact in the field.
During his recent internship at a Series B AI infrastructure startup, Neel built full-stack features and cloud-native integrations for more than six months, supporting real-time data pipelines handling 5 million events per day. Operating at a scale that demanded high availability and low latency, his solutions set new benchmarks in system reliability and developer velocity. Under his contributions, the platform not only accelerated core product workflows but also earned internal recognition, winning the “Most Impactful Intern Project” award from the engineering leadership in 2024.
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