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Presented at 5 conferencesFlagship · Agentic AI
An AI system that queries EHR data directly. Routes statistical questions to precise values and reasoning questions to an agentic pipeline. Voice interaction and X-ray analysis built in.
G-Day // 11 Dec 2026
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M.S. Artificial Intelligence, University of North Texas · Available December 2026 · Open to relocation · Eligible to work in the U.S. on OPT
The challenge
This clock stops exactly one way — an offer letter. Send one and we swing together. Otherwise it just runs out.
Hire me and I'll bring two hammers and a real clock. We break it together — literally.
Hand me the hammer →Open a panel for the full story
Ships agents, MCP servers, and RAG pipelines that run in production.
Packs meals with the Lions Club. Builds tools that give people time back.
1,500+ followers. Reels from every conference. And a late-night AI show.
President of SSAI. Co-founded a startup at 21 and ran its operations.
Work
Clinical AI, agentic systems, and the standards work most candidates can't list.
Flagship · Agentic AI
An AI system that queries EHR data directly. Routes statistical questions to precise values and reasoning questions to an agentic pipeline. Voice interaction and X-ray analysis built in.
Clinical NLP
A patient describes symptoms out loud. VoiceCode transcribes, extracts medical entities with negation awareness, maps each to a SNOMED CT code, and emits an Epic-compatible FHIR R4 Condition bundle. Every external service has an offline fallback, so it runs with zero API keys.
UNT COI Summer Research Day 2026
OpenAI Build Week Hackathon
Paste or photograph a health-insurance denial letter and it extracts the claim, detects the CARC and RARC codes, explains the denial in plain English, and drafts an editable appeal letter you can download as a PDF. The analysis pipeline is fully deterministic — GPT only touches the narrative sections of the appeal, and never invents a code meaning.
Idea and front end
Medical Imaging
Fracture detection on the FracAtlas dataset with Grad-CAM heatmaps showing the model what it looked at. Packaged as a Streamlit app with a dark clinical UI.
AI Safety
Implements the risk-evaluation framework from Jiang et al. (NTU 2024) — J-score scoring, a RAG pipeline, role-based access control, and safety training simulation for LLM agents in clinical settings.
MCP · RAG · Azure
Custom MCP servers connecting agents to Excel, Word, and internal tools. RAG pipelines on Azure AI Foundry. Built in Copilot Studio and NebulaOne.
Clinical AI
Presented at the Texas Medical Center AI Summit 2026 — the world's largest medical center.
Stack
Track record
Credentials
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Samuel Sibbi Rayan Jerome — AI Agent Developer · President, SSAI. Denton, TX. Available December 2026.
Open to relocation · Eligible to work in the U.S. on OPT