Piyush Gupta is a full-stack software engineer based in Bengaluru with six years of experience building scalable web products at the intersection of engineering, product, and customer success. He has shipped AI-powered features, advanced logic editors, and RBAC systems in production while partnering closely with founders and customers to drive adoption and resolve critical issues. A proactive open-source contributor (notably to popular repos like HarshCasper/Rotten-Scripts and Formbricks), he bridges front-end polish and backend robustness—implementing things from URL-prefill survey logic to browser-plus-Node Base64 utilities. Comfortable across React/Next.js, TypeScript, and modern data-fetch patterns, he also has hands-on experience improving auth flows (Magic Link, OAuth, reCAPTCHA) and CI/CD. Piyush combines product-minded engineering with a knack for problem discovery and real-world impact, often translating user needs into technical solutions that scale.
5 years of coding experience
2 years of employment as a software developer
Bachelor of Technology - BTech Computer Science, Bachelor of Technology - BTech Computer Science at Maharaja Agrasen Institute Of Technology, Delhi
high school, high school at Ram kishan institute , Ghaziabad
science Higher secondary, science Higher secondary at KDB public school , Ghaziabad
Contributions:320 reviews, 343 PRs, 749 pushes in 1 year 10 months
Contributions summary:Piyush contributed to the Formbricks project by implementing a URL prefilling option for the first question in the survey template. They made changes to the front-end code, specifically modifying files related to survey templates to incorporate the new functionality. The work involved adjusting the structure and logic within the template files, adding or modifying functionality to the open source survey platform.
Contributions:2 reviews, 7 commits, 6 PRs in 21 days
Contributions summary:Piyush contributed to the repository by adding and modifying JavaScript files for Base64 encoding/decoding and a blog image finder application. They implemented functionalities that work in both Node.js and browser environments. Furthermore, the user integrated a blog image finder with HTML, CSS, and JavaScript, utilizing an external API to retrieve and display images. The work also included a merge commit incorporating changes from the main branch.
golangscriptpythongo-scriptsdeepsource
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