Resume Portfolio 2026
FRED W. NIX JR.
AI Infrastructure Architect | ML Engineer | Presales Engineer
Atlanta, GA
Standing up private, sovereign AI on hardware the Customer owns
DISCOVER. DESIGN. INFERENCE.
Forward-deployed solutions architect standing up private, sovereign AI on hardware the Customer owns, for federal, healthcare, and regulated buyers who cannot call OpenAI. The build and the business case ship together: no cloud, no API keys, data never leaves the network.
A growing share of the role is guiding Customers off VMware. With Broadcom licensing pushing Customers to find an exit, I run the evaluation and migration planning to Nutanix for a full hyperconverged platform, or to Proxmox where an open path fits the Customer better, from reading the renewal letter through sizing the replacement footprint and sequencing the cutover.
Lead presales architect on a multi-domain AI use case campaign at an HBCU academic medical center, spanning Clinical Documentation, Research Operations, Student Success, and Institutional Reporting. Workshop output prioritized six use cases representing $2.4M aggregate modeled annual savings and roughly 1,300 reclaimed labor hours.
Designed the on-prem GenAI reference architecture: HPE ProLiant DL380a with 4x NVIDIA RTX PRO 6000 Blackwell 96GB GPUs, Nutanix HCI underpinning, Kamiwaza orchestration, sized to roughly 14M peak monthly tokens. Sequenced the commercial motion as a fixed-price 60 to 90 day POC to decouple from CIO budget gating.
Lead presales architect on a nine-use-case AI portfolio at an AZA-accredited, USDA Class R research institution. The portfolio represents roughly $12M in modeled annual value and 17,800 reclaimed hours, an 8.5 FTE equivalent, spanning operations, animal welfare, and research and regulatory reporting.
Built the data sovereignty commercial wedge: positioned HPE on-prem GPU compute plus Nutanix HCI against cloud-only competitors, using the Customer's regulated-entity and animal-welfare data residency requirements as the buying argument.
Identified and escalated a managed-services contract compliance risk at a higher-education account, where a pending decommission request would have dropped monitored asset counts below contracted minimums. The action preserved revenue and contractual standing.
Operate a roughly 1.5-day Customer-specific demo and prototype turnaround, using a personal toolchain of 150+ project repositories and customized Claude Code instances with memory management and LLM routing.
Architecting a headless personal sales intelligence system in Bun and TypeScript with bun:sqlite, an MCP server, and a CLI-first design, ingesting voice memos, notes, and email into an append-only event log for opportunity progression tracking. Local inference where possible.
Progressing the Nutanix certification stack: NCA, NCP-MCI, NCM-MCI, and NCP-MCA, with NCX-MCI and NPX as longer-horizon targets. Concurrent Nutanix Ambassador.
Building production-grade AI infrastructure for enterprise deployment
Developed production-grade AI inference platforms for enterprise deployment. Focused on reproducible infrastructure and comprehensive training for Cisco Partners leveraging Cisco UCS X-Series, NVIDIA GPU clusters, and Pure Storage.
Created enterprise AI inference platform enabling private, air-gapped LLM systems for regulated sectors including healthcare, finance, and government.
Achieved one-command deployment with 100% success rate across all partner rollouts - from bare metal to running inference in minutes.
Built multi-model platform supporting dynamic model switching between LLaMA, Mistral, and custom fine-tuned models with hot-swap capability.
Developed ChatGPT-like interface with streaming responses and live GPU metrics dashboard showing real-time utilization and inference statistics.
Implemented OpenAI-compatible API enabling seamless LangChain and LlamaIndex integration for enterprise RAG applications.
Trained Cisco Partners on AI infrastructure deployment, creating hands-on labs and comprehensive documentation for repeatable success.
Bachelor of Science
Business Administration - Information Systems
Auburn University
Pure Storage Global Rookie of the Year 2021
Delivering 250% of quota
Achieved Annual Sales Quota - Entire Career
Building with Larry, a persistent AI development partner that remembers every session
Larry is my Personal AI Infrastructure, a custom Claude Code environment I have built and run as a named, persistent partner since January 2026. It is not a chat window. It is a system with version-controlled memory, a written constitution, and an identity that carries forward across every session, machine, and model.
Larry runs on Claude Opus with a million-token context, governed by laws I author one at a time. Because its memory is preserved and searchable, it does not just help me code. It remembers the architecture decisions, the rejected approaches, and the project history, and brings them back when they matter.
A constitution-governed Claude Code system: version-controlled memory, an identity that survives machine and model changes, and a partner that compounds knowledge instead of resetting every session.
Claude Code integration with persistent context and project memory
Every conversation preserved with full context recovery
Private infrastructure with air-gap support
Real-time monitoring of all AI agent activity
Connected learning across all projects
Opus, Sonnet, Haiku orchestration
20+ years of enterprise technology and sales leadership
Presales engineer and architect for production-grade AI inference platforms. Built one-command, air-gapped LLM deployment for Cisco Partners with a 100% deployment success rate, bare metal to inference in under an hour.
Led sales strategy for electric bike distributor. Increased sales 225% within first year. Expanded product line and scaled to regional market leader.
Managed Fortune 100 relationships across Southeast. Delivered 250% of quota in 2021 - Global Rookie of the Year. 100% uptime during hurricane disaster recovery.
Technical presales for software-defined storage and cloud. Supported major data center consolidation initiatives.
Led US market entry as first American employee. Exceeded quotas 150%+ annually. 90%+ conversion rate on 50+ POC projects.
Managed operations for 5,500 Presales Engineers worldwide. Trained 1,000+ new engineers. Grew vSpecialists from 30 to 150+ members.
CTO, Solutions Consulting, PreSales, Professional Services, and IT Administration roles building enterprise solutions.
Ready to discuss AI infrastructure, enterprise deployments, or technical leadership?
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