
Analytics leader with expertise in AI agents, LLMs and enterprise AI applications ( Healthcare, Telecom,Insurance)
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Snellings Walters Insurance
Data Scientist
June 24, 2026 – Present
hometown-engine
May 3, 2026 – Present
A web app that identifies Team USA hubs and uses Google Gemini to explain conditions that could foster athletic excellence. Built for the Team USA x Google Cloud Vibe Code for Gold Hackathon.
View Projecttinydx-mcp
April 16, 2026 – Present
TinyDx — Rare Disease Diagnostic Navigator MCP Server. FHIR-native, HPO-powered, family-facing. Built for Agents Assemble Healthcare AI Hackathon.
View Projectpower-of-15
March 17, 2026 – Present
NASA/JPL's Coding Rules, Rewritten for the AI Era — 15 safety-critical rules for ML pipelines, LLM agents, and modern multi-language development
View Projectcarrier-accounting-mcp
March 16, 2026 – Present
MCP Server for insurance carrier accounting — ingest, reconcile, and post to Applied Epic
View Projectclaimsight
March 10, 2026 – Present
ClaimSight — AI-powered insurance claims assistant with 6 agents, 24 tools, Google ADK + Gemini on Cloud Run
View Projectclaims-env-hackathon
March 7, 2026 – Present
Insurance Claims RL Environment - OpenEnv Hackathon Statement 3.1 + Scaler AI Labs
View Projectgeorgia-insurance-ai
March 7, 2026 – Present
Georgia Personal Lines Insurance AI - Lead generation platform with Claude-powered advisor
View Projectclaimsense-ai
February 28, 2026 – Present
Insurance Claims Fraud Detection & Triage System - Mistral AI Hackathon 2026
View Projectnova-insurance-claims-ai
February 21, 2026 – Present
Agentic AI Insurance Claims Processor - Amazon Nova AI Hackathon entry. Multi-agent pipeline using Amazon Nova 2 Lite + Strands Agents SDK for automated claims assessment, fraud detection, underwriting, settlement recommendation, and regulatory compliance. #AmazonNova
View Projectinsureflow
February 18, 2026 – Present
AI-powered insurance pipeline diagnostic agent built with Elastic Agent Builder. Diagnoses multi-system failures, traces root causes across 7 indexes, matches historical incidents, and executes remediation workflows — reducing diagnosis time from hours to seconds.
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily concentrated on AI/ML applications within the insurance industry. While this demonstrates deep domain expertise, the lack of diversity in project types or industries might suggest a narrower focus. The target role of 'Data Scientist' aligns well with the technical skills and project themes. The candidate's experience level is listed as 0, but the projects suggest practical application, which could indicate a strong self-starter. However, the current role as 'Data Scientist' starting in 2026-06-24 with an experience level of 0 is contradictory and needs clarification.
Soft Skills & Operational Fit
The candidate's project descriptions suggest a strong problem-solving orientation and an ability to apply AI solutions to real-world business problems, particularly in the insurance sector. The hackathon participation indicates a collaborative and competitive spirit. However, without specific assessment data on communication, logical reasoning, or stress handling, a definitive assessment of soft skills and operational fit is limited.