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j-arndt/README.md

Justin Arndt

Enterprise Systems Administration · Software Validation · Technical Support Specialist

I am a technical specialist with 18 years of experience troubleshooting complex database configurations, systems administration parameters, and third-party integrations across highly regulated environments (healthcare IT and computer system validation).

My background combines deep technical diagnostic capability (SQL, network infrastructure, data analysis) with client success focus (reducing support ticket volume by 40% through optimized documentation) and formal root-cause analysis (5 Whys, Ishikawa diagrams).

Featured Projects

🛠️ zendesk — Zendesk AI Triage & Resolution Agent

An automated customer support triage agent built using the Zendesk REST API and LLMs to automate incident queue management, protect data privacy, and streamline developer escalation pipelines.

  • Compliance Filter: Automatically scans incoming tickets for HIPAA/PHI violations (such as SSNs and DOBs) and redacts them prior to AI processing.
  • Root Cause Classifier: Isolates whether a user's ticket stems from configuration mistakes (support-resolved) or backend database constraints (e.g., duplicate key synchronization errors).
  • Auto-Response Drafts: Formulates public customer responses and detailed developer escalation notes, inserting them as internal notes.

Core Technical Competencies

Domain Technologies & Methodologies
Support & Ticket Operations Zendesk (Academy Member), ServiceNow, Jira, SLA Compliance, Incident Triage, Tier 2/3 Escalation
Systems & Database Admin SQL Server, Active Directory (AD), Role-Based Access Control (RBAC), Backup & Disaster Recovery, TCP/IP
Root Cause & QA Testing Root Cause Analysis (5 Whys, Ishikawa / Fishbone), CAPA Workflows, Software Patch Testing, IQ/OQ/PQ Validation
Regulatory & Data Security HIPAA (PHI Privacy), 21 CFR Part 11, Data Integrity (ALCOA+), NIST Risk Frameworks, CySA+, Security+
Automation & Programming Python, SQL, REST APIs, PowerShell, Bash, JSON, YAML
Documentation & Training Standard Operating Procedures (SOPs), Help Center Articles, End-User Quick-Reference Guides, Release Notes

Education & Credentials

  • M.S. in Data Analytics — Western Governors University (2025)
  • B.S. in Cybersecurity & Information Assurance — Western Governors University (2024)
  • CompTIA Certifications: Security+ | CySA+ | PenTest+ | Network+ | A+

Get in Touch

Pinned Loading

  1. agent-long-term-memory agent-long-term-memory Public

    Local LLM memory that survives VRAM exhaustion. Compresses sessions to 4KB using Bloom filters + Merkle trees, stores to Cloudflare R2, hydrates in <500ms. QLoRA bakes memory overnight.

    Python

  2. agent-resurrection agent-resurrection Public

    SEED_POLY encoding protocol: deterministic agent state compression using Bloom filters, Merkle trees, and DEPA resurrection probes. Drift score to 3 decimal places.

    Python

  3. certified-agentic-firewall certified-agentic-firewall Public

    Production-grade input/output firewall for agentic AI. Cryptographic audit trail on every tool call and model output. 21 CFR Part 11 and SOC 2 aligned.

    Python

  4. certified-phi-egress-firewall certified-phi-egress-firewall Public

    HIPAA-aware AI egress firewall. Detects 18 PHI categories and blocks outbound LLM traffic containing patient data. Sub-50ms latency, full audit log.

    Python

  5. ironclad ironclad Public

    Formal verification sandbox for the IRONCLAD solver featuring Lean 4 algebraic proofs, deterministic verification environments, and cryptographic execution audit logs.

    Lean

  6. miniVectorDB miniVectorDB Public

    An SRAM-optimized, mathematically exact, billion-scale MIPS vector database utilizing Fast Walsh-Hadamard Transforms and FP8 quantization bounds.

    Python