Rahul Trivedi is an AI-focused full-stack software engineer with eight years of experience building cloud-native systems, scalable web apps, and LLM-powered tools from the Bay Area. He combines a 4.0 MS in Computer Science from Purdue with hands-on delivery across startups and global teams, shipping production features that increased collaboration and boosted manufacturing output by 40%. At Handshake he designs multimodal prompts and benchmark suites to evaluate LLM reasoning and robustness, while previously leading a MERN team that served 1,000+ community members and cut bug rates through stronger engineering practices. Fluent in Python, Java, Rust, TypeScript, Kubernetes and AWS, he moves comfortably between low-level systems, data pipelines (Kafka) and user-facing experiences. Beyond product work he has published research on intrusion prediction and malware detection, reflecting a curiosity for bridging research-grade techniques with pragmatic engineering. He’s known for marrying product-minded design with systems thinking to deliver tools that scale and make human workflows easier.
8 years of coding experience
5 years of employment as a software developer
Bachelor of Technology - BTech Computer Science, Bachelor of Technology - BTech Computer Science at Vellore Institute of Technology
Master's degree Computer Science, Master's degree Computer Science at Purdue University
Contributions:5 PRs, 15 pushes, 7 branches in 3 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.