▸Deployed Agentic AI framework (kagent) on AWS EKS (Kubernetes) to provide platform engineers with real-time cluster insights & analytics, improving troubleshooting speed by >60% for Verizon’s API gateway
▸Engineered a custom Model Context Protocol (MCP) in Python (FastAPI) to expose Verizon microservices to AI Agents via Server-Sent Events (SSE)
▸Developed a Flask-based microservice leveraging Verizon’s internal SMTP server, enabling AI Agents to send emails for early issue detection & incident resolution
▸Integrated Agent-to-Agent (A2A) communication with a custom Python Slack Bolt app, allowing engineers to query and interact with Kubernetes clusters directly from Slack
▸Dockerized & deployed these 3 production-ready applications to Kubernetes, allowing for direct interaction with AI Agent
▸Team lead for 12-person app development team; conduct code reviews, coordinate agile workflow, execute feature planning
▸Working on full stack integration for SwiftUI iOS app that uses sensors & stadium analytics to improve engagement for 50,000+ fans during Georgia Tech football game day
▸Oversee SwiftUI iOS development lifecycle, managing feature planning, frontend-backend contract
▸Utilizing SpringBoot to develop REST APIs for user authentication, registration, profiles, and a new prediction game feature
▸Built and tested a transactional message-delivery API with JWT-based authentication and relational integrity validation, resolving cross-table foreign-key issues and enhancing user communication reliability by 30%
▸Implementing new Prediction Game feature to boost fan engagement: creating entity, repository, and controller layers to support RESTful access and refactoring backend databases to handle user inputs