resume

summary

Software engineer and CS student. For 2+ years I've built applied AI and LLM systems alongside backend, cloud, and security work: agentic and retrieval-augmented tools on local and API models, fraud detection that cut a client's losses by a third, and the backend for a live game with 1,000+ players.

experience

• Software Engineer (Freelance) · Self-employed

  Aug 2024 – present
  • -Built fraud-detection pipelines (IP and behavioral signals, chargeback logic) that cut one client's losses by 31.6% across their production e-commerce stack.
  • -Designed IAM for 20+ concurrent client projects: RBAC, authentication, and permission controls across AWS, cPanel, and DNS.
  • -Hardened servers against the OWASP top risks, ran log analysis with SIEM tooling, and remediated the vulnerabilities it surfaced.

• Software Engineer · Independent · Roblox platform

  Feb 2023 – present
  • -Architected and maintained the backend for a live game with 1,000+ concurrent users: state synchronization, session management, and live patching without taking the game down.
  • -Built role-based access control from scratch, authorizing every privileged action server-side under production load.

• Technical Support Volunteer · Cybersecurity Club, Macomb Community College

  May 2025 – present

  Network, device, and software setup for club events; live troubleshooting.

selected work

• Perimeter →External attack-surface monitoring that treats consent as a security control: no verified ownership, no active scan.
• Server-Authoritative RBAC →A permission system for a live game that treats the client as hostile: it requests, the server decides, and every decision is logged.
• Fraud Detection →A scoring pipeline for a client's e-commerce checkout that cut fraud losses by 31.6%, built to route decisions to a human, not to auto-punish customers.
• Applied AI / LLM Systems →Agentic and retrieval-augmented tools built on both local and API models, including a RAG stack that runs fully on-device.

education

skills