Summary
Jessie Nerona is a software engineer with eight years of experience focused on product-facing web applications for B2B SaaS, currently building the user experience layer at Mastt — an AI-powered construction project management platform used by governments and Fortune 500 organisations. She specializes in TypeScript/JavaScript frontends, MongoDB-backed data work, and Microsoft Azure infrastructure, with a strong emphasis on perceived performance, accessibility, error handling, and the subtle reliability that earns user trust. At Mastt she ships dashboards, reporting interfaces, forms, and AI feature surfaces (AI Assistant, Document/Contract/Payment Review) that integrate Anthropic models, treating model outputs as product design problems as much as engineering challenges. Prior to Mastt she developed across enterprise stacks including Ruby on Rails, Node/Express, Solidity and TensorFlow at Switch Maven, and has taught IT as a college instructor—bringing both practical delivery and pedagogy to her craft. She’s particularly interested in frontend architecture and how agentic AI should be surfaced to enterprise users, pairing rigorous observability and test coverage with thoughtful state design. Based in the Philippines, Jessie combines the quiet craft of making complex software feel simple with hands-on experience deploying AI features in production.
8 years of coding experience
2 years of employment as a software developer
VIVIXX Fast Track Coding Boot Camp
Bachelor of Science (B.S.), Information Technology, Bachelor of Science (B.S.), Information Technology at Saint Louis College -City of San Fernando