Engineer first, translator always.

International Business Machines (IBM) · New York, NY

• —Ensure successful delivery of $80M+ in software for a global, omni-channel, digital assistant by maintaining deployment roadmaps, providing technical guidance, managing communication between teams, ensuring timely delivery, and proactively clearing blockers.
• —Lead the implementation and adoption of 20+ generative AI and governance solutions across 10+ products by working with technical teams and executives to drive success through cross-functional collaboration.
• —Manage post-sales relationships at three strategic clients with combined annual revenue of $100M+, running enablement demos, creating roadmaps to value, managing individual projects, guiding stakeholders through IBM's ecosystem, and tracking product enhancement requests from initiation to successful delivery.
• —Architect, install, build and deploy generative AI applications across cloud hyper scalar, SaaS, on-prem and hybrid environments using both open-source and IBM software.

International Business Machines (IBM) · New York, NY

• —Spearheaded business development for Data & AI opportunities at Fortune 50 companies by partnering with executives and account teams to define value propositions, build trust, and establish long-term strategic partnerships.
• —Delivered 75% proof-of-concept to production conversion rate, leading development of AI applications that improve contextual search accuracy, developer/agent productivity and customer care.
• —Optimized AI pipeline response and retrieval accuracy utilizing model, prompt, and data engineering techniques.
• —Codified repeatable AI implementation patterns from client engagements, creating scalable frameworks for deployment.
• —Achieved top 1% of sales achievement among sellers over the calendar year by converting PoC into $10M+ deployment.

International Business Machines (IBM) · New York, NY

• —Led Data & AI strategy consulting for 30+ enterprise implementations across a variety of industries and deployment environments, and delivered proof-of-concept applications to prove value to clients.
• —Developed reusable accelerators that reduced client time-to-value by standardizing deployment patterns.
• —Scaled technical expertise organization-wide through weekly enablement sessions and hands-on mentorship programs.

Girls Who Solve · New York, NY

• —Co-founded organization that teaches technical problem-solving with interactive lessons to high school students.
• —Led sessions that teach how companies use tools like AI and optimization to solve modern business problems.

UC Berkeley Division of Data Science

• —Founded the Data Science Modules and Nexus programs, which have supported over 10,000 students since inception.

Data Science Society at Berkeley

• —Developed and taught workshops on data visualization and R programming.

United States Senate (Patty Murray)

• —Composed legislative briefings and analysis, hosted tours, and assisted with daily office functions.

Pacific Science Center · Seattle, WA

• —Organized community science events attracting 20–150 attendees.