Cindy Onyekwelu

AI & Automation Trainer and Digital Transformation Facilitator with 3–5 years of experience designing and delivering AI literacy programs, workforce upskilling curricula, and hands-on generative AI training (ChatGPT, Copilot, Gemini, Claude) for corporate, nonprofit, and education audiences. Proven track record building bilingual and accessibility-first learning content, facilitating live and virtual workshops for 100+ learners, and translating emerging AI tools into practical, adoption-ready workflows.

Background in software engineering and Agile delivery gives technical credibility that most trainers lack — able to speak fluently to both end users and IT stakeholders. Passionate about closing the AI skills gap through hands-on, outcomes-driven instruction.

Principal Consultant — AI & Automation Trainer / Facilitator at LCV Technical Solutions (Local Community Vendors LLC) (2026-01 – Present)

• Design and deliver AI literacy workshops, live AI adoption demos, and workflow automation training for small businesses, corporate teams, non-profits, and school districts.
• Built a signature "AI Workday Makeover" live-demo training format that teaches non-technical audiences to automate email, meeting notes, document creation, and customer-service workflows using generative AI tools.
• Created a tiered training curriculum (job aids, single-tool sessions, team onboarding, full adoption roadmaps) translating emerging AI capability into measurable productivity outcomes for clients.
• Lead intake, needs assessment, and stakeholder scoping to tailor AI training content to each organization's tools, staff skill level, and workflow gaps.

AmeriCorps Technology STEM Program Facilitator at Girls Inc. of San Antonio (2025-10 – 2026-06)

• Designed and facilitated 100+ hours of STEM and digital-literacy training programming for 100+ students across camps and year-round cohorts, adapting delivery for varying skill levels and learning styles.
• Authored "The Big Sis You Never Had," a bilingual (English/Spanish) comic-style college-readiness curriculum with audio support built for first-generation, ESL, and neurodivergent learners — plus a companion 20-lesson STEM/CCMR toolkit suite.
• Produced and coordinated a global Women in STEM virtual speaker series, engaging 120+ industry professionals and securing 21+ recorded sessions to build a permanent digital learning library.
• Managed multi-organization stakeholder outreach and consolidated 120+ contacts into a centralized CRM to support program scheduling, tracking, and reporting.

Volunteer Track Lead at Mentor Me Collective (2026-04 – Present)

• Facilitate weekly live "Grow with Google" IT & Python automation certification recap sessions on Google Meet for a global cohort of 495 online scholars.
• Break down technical automation concepts into accessible, step-by-step instruction for learners at mixed skill levels.

Senior Mentor & Technical Advisor at Mark Cuban Foundation AI Boot Camp (2025-12 – Present)

• Mentored a 25-student cohort of San Antonio high schoolers on responsible AI research, career exploration, and capstone project development across a 3-session Saturday boot camp.

Software Engineer — DoD TS/SCI Cleared IT Contractor at U.S. Air Force Contracts (2018-05 – 2024-10)

• Engineered mission-critical defense software systems over 7 years using full-stack development, cloud architecture, and Agile methodologies alongside teams from General Motors, Booz Allen Hamilton, and minority-owned contractor partners.
• Designed and maintained complex technical systems supporting national security operations; logged 500+ software engineering hours credited toward a Master of Science degree — foundational technical fluency now applied to training non-technical teams on AI tools.

Software Engineer — Android Mobile Intern at Nike World Headquarters (2017-06 – 2017-08)

• Developed Android features for the Nike mobile retail app, used by millions globally across a platform covering 80–90% of the worldwide mobile market.
• Collaborated with cross-functional microservice and engineering teams to implement and test mobile UI components within an Agile sprint framework.

Master of Science in Artificial Intelligence – Udacity Institute of Technology (Woolf University), London, UK (2027-06)

Bachelor of Arts in Computational Economics (Applied Computer Science) – Pitzer College (Claremont Colleges) (2018-05)