Zavier Kamath
AI Engineer / Full-Stack Developer building useful AI tools and web applications for real business workflows.
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Featured Personal Build
Memvia: AI Resume + Job Application Assistant
Built Memvia, a full-stack AI job application assistant that generates tailored resume content and application answers by searching a curated memory store. Developed the FastAPI, Pydantic AI, OpenRouter, SQLite, React, TypeScript, Tailwind, and Vite stack by hand.
View personal projectsHighlighted AI Engineering Work
Production-minded AI systems, full-stack product work, and colleague enablement from my current role at Huntington National Bank.
Huntington National Bank
Reusable Enterprise RAG Platform
Config-driven internal knowledge systems for teams across Huntington
Saved an estimated $300K+ per year by leading development of reusable AWS infrastructure for retrieval, indexing, agent configuration, session history, observability, and reranked search.
Powers tools used by tens of thousands of colleagues and standardizes chatbot delivery across 5 internal AI projects.
Huntington National Bank
Customer-Facing Financial Insights + AI Chatbot
Preparing personalized financial AI experiences for Huntington digital channels
Lead development of customer-facing AI prototypes by designing nightly data preparation, large-scale prompt generation, and cross-cloud serving architecture for future mobile and web experiences.
Lays groundwork for production AI experiences that could eventually serve millions of banking customers.
Huntington National Bank
AI Enablement, Mentoring, and Education
Teaching colleagues how to use AI tools responsibly and effectively
Drove responsible AI adoption by teaching developers, business partners, executives, and large internal audiences how to use Copilot, Claude Code, OpenCode, Codex, and AI chatbots effectively.
Turns individual AI expertise into team capability through presentations, documentation, workflow design, and hands-on mentoring for hundreds of colleagues.
Let's Connect
Interested in AI engineering, full-stack product work, or practical AI adoption? I'd love to hear from you.