Washington DC-Baltimore Area
I lead enterprise AI transformation efforts focused on turning emerging capabilities such as GenAI, agentic AI, and automation into real business outcomes at scale. My work sits at the intersection of strategy, delivery, and adoption. I partner across engineering, product, and customer-facing teams to move organizations beyond experimentation and into sustained, measurable impact by improving customer outcomes, accelerating delivery, and unlocking new value streams. I have led initiatives that drive enterprise-wide AI adoption rather than isolated pilots. I focus on translating AI capabilities into customer-facing value and meaningful business impact while scaling delivery through strong cross-functional alignment and operational rigor. What differentiates my approach is a focus on both execution and adoption. I ensure that AI is not only built but also used, trusted, and embedded into how teams work every day. I am particularly interested in scaling GenAI and agentic AI across complex organizations, bridging the gap between AI innovation and business value, and enabling teams to operate effectively in AI-augmented environments.
Lead enterprise AI transformation across flagship accounts, partnering with CTO/CIO-level stakeholders to move from experimentation to measurable value realization. Own executive AI strategy engagements, defining high-impact use cases, success metrics, governance models, and multi-quarter roadmaps. Unblock enterprise AI adoption across enterprise accounts, resolving technical, organizational, and product-level barriers impacting deployment and scale. Built and operationalized weekly AI Strategy Syncs, creating a repeatable system to track adoption, surface blockers, and accelerate decision-making. Translate cross-customer adoption patterns into strategic insights, influencing product roadmap prioritization and customer success strategy. Act as the bridge between customers and product, converting enterprise needs into prioritized backlog and shaping AI product direction. Develop scalable AI adoption frameworks, enabling Sales, Customer Success, and Engineering teams to drive consistent, repeatable outcomes. Impact: Driving enterprise AI adoption and expansion, enabling thousands of developers, and influencing product, sales, and customer success strategy.
· Lead large-scale engineering organization of 50+ engineers and eight direct reports across AI and non-AI teams, driving innovation, technical delivery, and organizational transformation in operations, training, and customer service. · Oversee AI adoption strategy within engineering, integrating Generative and Agentic AI into core development workflows to improve throughput and velocity. · Drive KPI performance, including throughput, merge request cycle time, and AI adoption metrics; analyze productivity differences between AI and non-AI users to increase adoption. · Advanced AI-enabled engineering excellence by empowering leaders and engineers to harness GitLab Duo for automated code reviews, pipeline fixes, and workflow acceleration complemented by Claude-driven analysis of documentation and performance metrics. · Partner cross-functionally with Product, HR, Finance, and Compliance to align AI initiatives with company objectives, transparency standards, and ethical governance. Select Achievements · Transformed GitLab into AI platform by delivering first-ever AI products and leading three of six launch teams that integrated intelligence code suggestions, pipeline remediation, and workflow automation into DevSecOps lifecycle. · Scaled engineering organization from three to seven teams, implementing reorganization to differentiate AI and traditional functions for greater focus and output. · Pioneered companywide AI adoption tracking, creating automated reporting systems and custom dashboards to monitor engagement and drive accountability via enterprise surveys, retrospectives, and data-driven feedback loops. · Partnered with cross-functional leaders to evolve HR policies, talent pipelines, and AI-enabled recruitment practices; advised Marketing, Sales, and Customer Success teams on AI strategy for customer engagement.
Partnering with Code2College to expand access to STEM education by preparing historically underserved high school students for technology careers through hands-on coding, mentorship, and industry exposure. Advance the mission to increase representation of under-served students in STEM by helping them attend, persist, and graduate from STEM degree programs, leading to meaningful technical careers. Support a tuition-free, industry-relevant coding curriculum that equips students with practical programming skills during the academic year. Enable paid, project-based summer internships with leading STEM organizations, connecting classroom learning to real-world application. Collaborate with industry partners and mentors to align training content with evolving tech trends—including AI and data literacy—to ensure students gain future-ready skills.
· Supervised and mentored multidisciplinary development team that grew from one to 14 members, including engineers, UX designers, and quality specialists supporting scientific operations. · Directed full software development lifecycle for custom applications in SharePoint, Ruby on Rails, C#, and .NET, covering requirements gathering, design, testing, deployment, and maintenance. · Partnered with scientific and safety leadership to translate operational challenges into scalable technology solutions, improving workplace safety and data visibility. · Led Agile transformation across federal software teams, introducing Scrum practices, shorter development iterations, and real-time stakeholder feedback loops. · Managed performance, hiring, and contractor selection to adjust team size and capabilities based on project demand. · Oversaw development and maintenance of web-based and mobile systems supporting safety tracking, training compliance, and equipment inventory management. Select Achievements · Improved data accuracy and visibility across laboratories by transforming manual safety tracking through design of integrated systems that replaced 100+ spreadsheets. · Built software development organization from ground up, scaling to 14 personnel and establishing culture of innovation within scientific agency. · Delivered multiple enterprise applications, including custom CMS migration and Ruby on Rails-based lab tracking platform supporting Materials Science Laboratory operations. · Reduced feedback and delivery cycles through Agile implementation, enabling iterative releases and faster deployment of new features. · Enhanced data security and compliance through rigorous code review, vulnerability mitigation, and continuous improvement of development practices.