Founder & President

Founded a youth-led 501(c)(3) nonprofit organization dedicated to bridging the generational digital divide by providing free technology education and resources in English and Spanish to children and seniors. Led the full setup of the organization and secured federal 501(c)(3) status. Created the Kids Learn Tech program to teach coding and internet safety to children ages 8–12, and launched the Seniors Learn Tech program to bring the same curriculum to older adults. Both programs include instruction in Python, JavaScript, internet safety, and digital literacy. To date, Tech 4 Now has served 1,000+ children and seniors in 6 countries and raised $5,000+ in donations. The organization is supported by Google, Microsoft, OpenAI, Anthropic, Canva, HP, Dell, and Lenovo. Programs are currently active in libraries, schools, and community centers in Florida, New York, and across Latin America. Built and maintain the organization's website, developed the curriculum, and lead outreach, volunteer recruitment, and community partnerships.

AI/ML Engineer Intern

Built, evaluated, and deployed agentic AI solutions on the AI Transformation team at a $10B+ enterprise. Engineered a retrieval-augmented agent that scores enterprise workflows for automation readiness across eight dimensions and maps them to autonomy tiers, driving a 4x gain to 97% tier-alignment accuracy and 0.81 F1 against expert labels. Developed a proficiency-adaptive coaching agent that scales agentic AI training to 10,000+ employees, achieving 99% blind proficiency-classification accuracy and 100% role adherence across adversarial evaluation.

Youth Leader

Serve as the first and only Youth Leader from Florida on a national team developing innovative strategies that promote healthier technology and AI use. Meet weekly to analyze technological trends, track progress, and plan upcoming projects. Presented workshops at Stanford University's Tech-X: Mental Health + Technology Immersion Experience and the San Diego Museum School. Designed the Workshop Leader Training program to prepare youth to become GoodforMEdia workshop facilitators in their communities, and served as a trainer for the selected participants. Developed a 9-page guide titled "AI in the Digital World: A Guide for Teens" that covers topics such as chatbots, deepfakes, misinformation, mental health impacts, the role of AI in education, and how youth can approach AI in everyday life.

ML Research Intern

Conduct research on ML-based trajectory analysis of single-cell RNA sequencing data with Scanpy to map interneuron developmental progression and identify accelerated differentiation in cyclin D2 knockout versus wild-type mice in the Data Science and Computational Biology (DSaCB) Lab under Dr. Vanessa Aguiar-Pulido. Built single-cell analysis pipelines for preprocessing, dimensionality reduction with PCA and UMAP, unsupervised clustering with Leiden, batch correction with Scanorama, and trajectory inference with PAGA and diffusion pseudotime to map developmental trajectories. Presented findings at the ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB).

Student Ambassador (Oct 2024 – May 2026); Community Leader (Apr 2025)

Represented Florida to cultivate interest in tech entrepreneurship and promote STEM education and tech literacy through workshops and mentorship for Technovation Girls participants across 80+ educational institutions statewide. Served as a stipend-awarded Community Leader, managing the Student Ambassador communications platform, creating monthly newsletter content, and hosting virtual workshops for the global ambassador community. Invited to share journey as a 2024 Global Semifinalist through outlets including EY and SmartBrief. Published Flip the Switch, a mental wellness app, in Technovation's AI in Action curriculum and as an SDG 3 Power Solution, equipping 300,000+ students globally to create health-focused technology solutions. Chosen from 41,000+ alumnae to host the 2025 Technovation Global Celebration, uniting young innovators around technology's power for change.

WiSE Fellow

Selected as one of 100 internationally. Explored applications of mathematics, computer science, and probability in quantitative trading through a challenging multi-day program. Attended panels with traders, researchers, and software engineers across the firm. Solved expected-value computations and competed in mock trading games and an Estimathon.

AI Startup School Attendee

Chosen from 30,000+ applicants, joining 6,000 technical builders at Chase Center in San Francisco. Attended talks from Jensen Huang of NVIDIA, Sam Altman of OpenAI, Patrick Collison of Stripe, Alexandr Wang of Meta, and more on agentic systems, frontier model development, and company building. Earned $25,000+ in compute credits from OpenAI, Anthropic, Cursor, xAI, AWS, and Azure.

ML Research Intern

Conducted research on computational modeling and ML approaches to individual decision-making variability in the Artificial & Biological Computation Lab under Dr. Cristina Savin and Dr. Harsha Gurnani. Analyzed 15.9 million trials from 414 rats in a temporal wagering task to demonstrate how structured behavioral variability reveals individual decision-making strategies. Implemented psychometric and opt-out curves, transition dynamics, 5-parameter Bayesian inference over opportunity costs and inference levels, PCA, k-means clustering, kNN regression, and LDA with cross-validation for neural decoding. Selected as one of 34 students internationally for the NYU GSTEM program and one of 10 recipients of the merit-based Winston Data Scholarship. Authored a 16-page research paper and was chosen as one of the top 4 oral presentations to present at the annual symposium to 200+ attendees.

Student Leader (July 2025 – May 2026); Participant (Oct 2023 – May 2025)

Appointed Chair of Moderation for the 2025–2026 academic year, leading 500+ accepted participants globally in exploring cutting-edge neuroscience research. Responsibilities included running meetings, introducing invited speakers, moderating Q&A, and preparing guiding questions to support productive discussion of their research. As a participant from 2023–2025, actively analyzed and discussed current neuroscience research in monthly meetings with peers and Stanford researchers. Presented scientific papers, fostering critical thinking and strengthening skills in scientific communication. Engaged in collaborative discussions to deepen understanding of complex neurological concepts.