AI Engineer

Building AI systems that survive production.

AI engineer at West Shore Home. I ship voice agents, LLM pipelines, and the evals that gate them.

Coordinator and worker agents, running live
0Coordinatorqueued subtasksWorker 1idleWorker 2idleWorker 3idleWorker 4idle

0 shipped

Selected work

  1. After-hours Voice Agent

    One of the company's first voice agents. Answers existing-customer calls overnight: rescheduling, cancellations, and appointment lookups, with callers verified against account and geocoded address data.

    Voice AI / Azure / Azure OpenAI

    $1M+revenue generated
  2. Call Analysis Platform

    Azure Functions pipeline pairing AssemblyAI transcription with a two-stage Azure OpenAI scorer. Every prompt change is gated by an eval harness with Wilson intervals and drift detection.

    Azure Functions / AssemblyAI / Azure OpenAI / Python

    3,000+calls scored per day
  3. Architect

    Desktop app where engineers sketch a system on a drag-and-drop canvas, then parallel AI agents build each zone, coordinated through JSON mailboxes and mid-task Q&A threads.

    TypeScript / Electron / React / Claude Code

  4. Echo

    Multi-agent reasoning system. A Gemini agent breaks a hard problem into subproblems, a ChatGPT agent solves them, and the first verifies each answer, all visualized live.

    Python / Gemini API / OpenAI API / Streamlit

    WinnerBest Use of Gemini API, HackPSU
  5. KeyForge

    Password manager backed by a Solidity smart contract. Credentials are encrypted client-side and authenticated with a MetaMask wallet.

    JavaScript / Solidity / MetaMask

Experience

Penn State, 2026

B.S. Computer Science

Minor in Engineering Leadership Development.

Resume (PDF)
  1. Jun 2026 - Now

    AI Engineer

    West Shore Home

    • Led the launch of the company's first voice agents. The after-hours agent resolves 100% of after-hours calls in production and has generated over $1M in revenue.
    • Architected the call-analysis platform on Azure Functions that scores 3,000+ calls a day for rep QA, coaching, and leadership dashboards.
    • Built an LLM eval harness with deterministic scoring, Wilson confidence intervals, prompt-drift detection, and blind labeling. No prompt ships without beating the baseline.
    • Rebuilt the real-time scheduling engine behind point-of-sale availability, proving it more accurate than the legacy system with a side-by-side mismatch harness.
    • Also: multi-agent orchestration, security oversight and guardrails, RAG, agent-to-agent (A2A) protocols, API design, and custom tooling.
  2. May 2025 - May 2026

    Applied AI Intern

    West Shore Home

    • Automated inside-sales QA and performance review, letting QA managers review 8x more calls per day.
    • Built n8n and AssemblyAI workflows that assess call quality and capture customer data in real time.
  3. Jan 2025 - May 2025

    Undergraduate Researcher

    DementiAnalytics, Penn State

    • Built a full-stack mobile app in React and Django for early dementia detection, working with clinical researchers to turn biomarkers into detection algorithms.

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