Conceiving and engineering the open-source Model Context Protocol (MCP) and live typed knowledge graph framework for autonomous AI agent discovery and deterministic web traversal.

• • Engineered Model Context Protocol (/mcp) endpoint architecture and A2A agent discovery standard
• • Eliminated brittle web scrapers with live typed knowledge graph navigation (graph_node, graph_search)
• • Built high-performance, framework-agnostic runtime working across Express, Next.js, Hono, and Bun
• • Authored open protocol specifications and CLI tooling for agent tool invocation

Developing a mobile-first AI automation product for LMS ecosystems. Designed to automate task extraction, draft generation, and submission workflows.

• • Built cross-platform mobile architecture with React Native and Expo
• • Integrated LLM APIs for automated assignment parsing and response generation
• • Implemented 'humanized' content formatting and document export pipelines
• • Rebranded and positioned the product for subscription-based monetization

Engineering container runtime security, automated CI/CD pipelines, and high-availability Linux infrastructure for distributed workloads.

• • Configured production-grade Linux server environments and secure process isolation
• • Automated CI/CD pipelines with GitHub Actions and multi-stage container builds
• • Engineered infrastructure telemetry and automated health recovery watchdogs
• • Implemented secrets management and network security policies

Conducting bug bounty-style security research focusing on web applications, APIs, and cloud infrastructure.

• • Identified and reported high-impact vulnerabilities in web and API surfaces
• • Automated reconnaissance workflows using custom Bash and Go pipelines
• • Analyzed GraphQL and REST endpoints for logic flaws and session replay weaknesses
• • Utilized Burp Suite, nuclei, and Frida for deep security analysis