Hello! I'm Duncan, a Sales Engineer with a Computer Science background.
I drive AI and cloud adoption for Fortune 50 clients, turning complex technical evaluations into $50M+ in revenue growth at AWS and IBM.
I own the full sales and technical sales cycle for the sales org in my market — discovery through architecture, PoC, and close — and I build what I sell, hands-on with AI tooling, data lakehouses, and web applications. Recognized with “Rookie of the Year” and multiple AWS and IBM certifications.
• Lead and implement the national technical sales strategy for Database products, empowering 70+ Account Executives and 60+ Sales Engineers with advanced solutioning frameworks, competitive positioning, and demo best practices.
• Provide strategic oversight and expert technical guidance on high-value and complex sales opportunities nationwide, contributing to $55M in influenced revenue for the Databases portfolio.
• Direct technical engagement strategy for all significant US National market opportunities involving Databases, ensuring alignment between client requirements and optimal solution and product architectures.
• Function as the Data & AI technical expert for 316 accounts, delivering 142 client technical briefings on AI applications, resulting in a 30% increase in client adoption and generating $3.4M in annual revenue.
• Present 50 technical demos of AI product solutions to C-suite executives and engineering teams, showcasing product capabilities and aligning with customers and achieving a 40% conversion rate to pilot projects.
• Lead cross-functional enablement sessions and host 15 technical workshops for enterprise clients and internal teams, improving GTM execution by 20% and accelerating solution adoption timelines by 30%.
• Build reusable technical assets including scripts, templates, dashboards, and code assets, reducing technical PoC deployment times by 50% across client engagements.
• Awarded Rookie of the Year, recognized as an outstanding employee, and granted RSUs for exceptional performance and contributions to company goals.
• Developed and maintained 3 containerized enterprise web applications on the MERN stack and Kubernetes on AWS, serving over 100 monthly clients and integrating REST APIs to deliver cloud enablement resources to partners.
• Designed, developed, and oversaw end-to-end CI/CD pipeline using AWS CodeCommit and AWS Pipelines.
• Collaborated closely with Fortune 50 automotive customers throughout their cloud adoption journey, providing technical guidance and architectural designs, contributing to a total annualized revenue of $3.7.
• Conducted 11 training sessions for senior leaders and individual contributors at Fortune 200 automotive companies, resulting in improved cloud fluency among decision-makers. Achieved an average CSAT score of 4.9/5, with 90% of participants obtaining AWS certifications.
● Applied Java, C++, and SQL in quality engineering, collaborating with documentation teams to design and
implement features and capabilities.
● Designed, developed, tested, and maintained 82 identity, access, and audit reports with clients.
● Identified three customer pain points and managed implementation of fixes using Agile methodologies, to reduce
runtime and save customers’ time by 14% per run.
A Discord bot that makes scheduling watch parties with friends painless. Search for any anime,
K-drama, TV show, or movie and it auto-fills the synopsis, poster, episode count, and next air
date — then handles RSVPs, votes, and reminders for the whole group.
A self-hosted, Monarch-style personal finance app for my homeserver. One Docker container,
one SQLite file, no cloud, no subscription — it connects to banks via Plaid or Finicity,
tracks net worth and goals, and auto-values real estate and vehicles over time. It even
ships an MCP server, so I can ask Claude about my own finances.
