Hi!👋
Hello! I'm Duncan, a Sales Engineer with a Computer Science background.
I’m an experienced Sales Engineer with a deep technical background, recognized for driving AI and cloud adoption for Fortune 50 clients and delivering multimillion-dollar revenue growth at AWS and IBM.
Skilled in container orchestration, CI/CD, and AI tooling, I’ve reduced deployment times by 50% and earned distinctions including “Rookie of the Year” and multiple AWS and IBM certifications.
Experience 💼
Digital Technical Specialist (Data & AI) @
IBM
Jan 2024 - Present
Dallas, TX
• 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.
Solutions Architect @
AWS
Jan 2021 - Feb 2023
• 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.
Software Engineering Intern @
Micro Focus
Sep 2019 - May 2020
● 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.
