I've spent my life turning emerging technologies into things people can actually use.
30 years at IBM & Lenovo·125+ inventions·Distinguished Engineer·AI · Systems · Startups·Detroit, Michigan
Résumé
Eric Kern
CTO · AI Systems Architect · Distinguished Engineer · Founder
Detroit, Michigan · ericrkern.com
Lifelong software engineer, inventor, and technology leader with 30+ years spanning IBM, Lenovo, startups, and hands-on AI product development. Inventor on 125+ patents and inventions across AI, systems, cloud, hardware, and high-performance computing. Former Distinguished Engineer and AI Center of Excellence leader, now building agentic AI systems, local-model infrastructure, cybersecurity products, and consumer software. Most effective where architecture, code, hardware, and product meet — turning emerging technology into working systems.
A comparison, opinion, voting, and consensus platform with iOS and web experiences.
Architecture, design, and full-stack development: software, AI integration, and cloud infrastructure.
Real-time comparison interactions, AI-assisted moderation, community analytics, and intelligent ranking.
Recent architecture work on voting without traditional signup — anonymous sign-in with later identity linking — to reduce onboarding friction.
Integrity architecture explored around iOS App Attest, DeviceCheck, and Declared Age Range concepts, plus web human-verification, aimed at one-human/one-vote integrity and auditability.
Architecting and building a heterogeneous local/agentic AI lab for a global computer manufacturer — a working laboratory, not a presentation environment.
Fleet design and build across Bender, Wintermute, Marvin, Cindy, Borgson, Prime, belikemike, and Orthus: RTX 5090-class systems, professional GPUs, Apple Silicon, Jetson edge AI, PGX-class high-memory AI compute, and experimental AMD/NVIDIA accelerator configurations.
Janus Protocol: lab-wide orchestration that delegates work across nodes, collects and synthesizes results, and produces deliverables.
Local-model experimentation with the Gemma and Qwen families, and routing between local and frontier models where the architecture warrants it.
Agent categories under development: research, coding, security, infrastructure, benchmarking, and reporting.
Programs: local AI benchmarking, multi-model orchestration, edge AI, agent security, executive demonstrations, and artifact generation.
Agentic AI
Local AI
GPU / edge compute
Orchestration
Agent security
Experience
Professional experience
August 2024 – Present
Chief Executive Officer & Founder
Lincoln Consulting LLC
Executive consulting and technical leadership on AI adoption, architecture, and data strategy — hands-on rather than slideware.
Current engagement: designing and building an Agentic AI Lab for a large computer manufacturer, spanning heterogeneous GPU workstations, AI PCs, Apple Silicon, Jetson edge systems, and high-memory AI compute nodes.
Janus Protocol lab-wide orchestration; OpenClaw and Hermes agent runtimes; Ollama and vLLM model serving; SSH/API/MCP-style tool integration; persistent memory and RAG; auditable agent operations.
Local-model evaluation (Gemma, Qwen families) against quality, latency, memory footprint, throughput, hardware fit, privacy, and cost — including when to route to frontier models instead.
Agentic strategy roadmaps and proofs of concept; historical stack includes LangChain, CrewAI, SmolAgents, LlamaIndex, Pinecone, and PostgreSQL.
Agentic orchestration
Local AI
GPU systems
RAG
PostgreSQL
Pinecone
April 2024 – Present
Chief Technology Officer
Anything vs. Anything
Architecture, design, and full-stack development of a comparison, opinion, voting, and consensus platform across iOS and web.
AI integration for moderation, community analytics, and intelligent ranking; real-time comparison interactions.
Identity and integrity architecture: anonymous sign-in with later account linking, device attestation concepts on iOS, and web human-verification.
React Native, Swift, and Python microservices; product roadmap, security, and personalization.
React Native
Swift
Python
Cloud
April 2019 – August 2024
Distinguished Engineer & AI Center of Excellence Leader
Lenovo
Created and led the AI Center of Excellence.
Embedded AI and LLM inference work; CUDA and custom ASIC engagement.
Real-time thermal, battery, and system management on embedded Linux.
NVIDIA AI Enterprise across enterprise AI deployments.
Inventor on 125+ patents and inventions across AI, systems, cloud, networking, hardware, and high-performance computing. Selected granted patents — with the problem behind each — are browsable on this site.
DEF CON / Black Hat USA 2026 · instructor Abhay Bhargav
Hands-on work on agent security: context-to-action risks, tool and runtime defenses, permissions, memory, agentic attack surface, and runtime security.
