Denver, CO — Technical Sales Leader

I learn the technology.
I build the trust.
I perform the technical close.

20+ years translating complex infrastructure — from storage arrays to AI cooling to GPU clusters — into language that lands with engineers and C-suites alike. I build transformers in PyTorch, architect data center solutions, and earn the technical credibility that turns prospects into partners. Stanford ML. Triple AWS-certified. 8-figure pipeline.

8-Figure
Pipeline Closed
300MW
AI Cooling Deployed
30%+
Sales Cycle Reduction
127%
Quota Attainment
Career

Where I've Closed

Nov 2024 – Feb 2026
Accelsius
Sr. Solution Architect
300MW AI Factory Cooling · Scaled Revenue from $0
Primary technical closer on the company's largest deal. Promoted within 5 months. Created 20+ technical assets and 30+ proposals, cutting the average sales cycle by 30%. Delivered strategic presentations from C-suite executives to engineering teams.
Mar 2022 – Jul 2024
SADA (Insight)
Sr. Cloud Engineer
GCP · Kubernetes · Cloud Modernization
Architected scalable HA solutions on Google Cloud Platform. Led infrastructure assessments and delivered prescriptive roadmaps accelerating cloud adoption. Mentored junior engineers on sales strategy and technical POC execution.
Oct 2013 – Mar 2022
Cisco Systems
Technical Solution Architect — Cloud
US West Region Technical Lead
Primary technical closer for the US West region. Drove adoption of hyper-converged storage infrastructure. Spearheaded Kubernetes and cloud-native mentorship across engineering teams. Executed high-stakes POCs with custom automation.
1995 – 2013
NetApp · IBM · EMC · Veritas
Systems Engineering & Technical Leadership
127% Quota · $10M+ Territory
Held senior SE and architect roles across the major enterprise storage platforms. All-flash arrays, XIV, Symmetrix, CLARiiON. Managing Director of Systems Engineering at CreekPath Systems. Technical Product Manager at Veritas.
Capabilities

What I Bring to the Table

⚡
AI Infrastructure & Cooling
Deep expertise in GPU-dense data center design, two-phase direct-to-chip cooling, and the power/thermal tradeoffs that define AI factory economics.
GPU Cooling Two-Phase DTC Nvidia AMD 300MW+
🧠
AI / Machine Learning
Stanford ML specialization. Hands-on with LLM internals — building transformers from scratch, embeddings, attention mechanisms. Not just talking about AI, building it.
LLMs PyTorch Transformers Claude / GPT RAG
☁️
Cloud & Infrastructure
Triple AWS-certified. Production experience across GCP and AWS with Kubernetes, serverless, and hybrid architectures for enterprise workloads.
AWS (SA + Dev + SysOps) GCP Kubernetes Linux
💾
Enterprise Storage
20+ years across every major platform — EMC, NetApp, IBM XIV, Cisco HyperFlex. From Symmetrix frames to all-flash arrays to hyper-converged.
EMC NetApp IBM HCI Data Protection
🤝
Technical Sales & Closing
The rare engineer who can run a POC on Monday and present to a CTO on Tuesday. Challenger selling methodology with a track record of outsized quota attainment.
Technical Closing Challenger Sale POC Execution RFP/RFI
🛠️
Dev & Automation
Writes production code, not just slides. Python, C, Swift. Custom tooling for sales automation, data protection scripts, and AI workflows.
Python C Swift Claude Code Automation
Live AI Tools

Built by Me. Powered by AI.

● LIVE — RAG Pipeline Demo

Infrastructure Knowledge Engine

A retrieval-augmented generation pipeline built from scratch. It searches a curated knowledge base of data center, storage, cooling, and cloud infrastructure documentation, retrieves the most relevant context using TF-IDF vector similarity, then generates precise answers grounded in real technical content.

Vector Search TF-IDF Embeddings Cosine Similarity Claude API Streaming
Knowledge domains:
Two-Phase DTC Cooling GPU Infrastructure Enterprise Storage Kubernetes Cloud Architecture Data Protection
🔍 Ask the Knowledge Base
🧠
Ask me anything about data center infrastructure, cooling systems, storage architectures, or cloud design.
● Live Demo
📄
Proposal Engine
AI-powered RFP response generator and proposal builder. Multi-domain templates for cooling, storage, and cloud.
● In Progress
🔥
GPU Cluster Cost Optimizer
TCO modeling comparing air, single-phase, and two-phase DTC cooling for GPU-dense deployments.
Also Building

Deep in the Stack

● In Progress
LLM from Scratch
Building a transformer-based language model from the ground up in PyTorch. Tokenizer, attention, training loop — understanding every layer of the stack I'm selling.
● In Progress
VAST Data Platform Deep Dive
Researching VAST Data's Universal Storage architecture — DASE, VMS administration, multiprotocol access, data protection, and Kubernetes CSI integration. Building toward Sr. Systems Engineering expertise and VASTronaut certification.
Education & Certifications

Credentials

🎓
B.S. Computer Engineering
Kansas State University
🎓
Machine Learning Specialization
Stanford University
📜
AWS Solutions Architect
Amazon Web Services
📜
AWS Certified Developer
Amazon Web Services
📜
AWS SysOps Administrator
Amazon Web Services
Let's Talk

Ready to Build Something?

Whether you need a technical closer for AI infrastructure deals or a leader who can bridge engineering and revenue — let's connect.

✉ jimbooth@me.com LinkedIn 303.981.6276
📄
Proposal Engine
AI-Powered RFP & Proposal Generator