Two papers accepted: domain-shift protocol and Enhanced Model Paradox; quad-stream deepfake detection. Both patent pending. IEEE conference attended by industry experts, graduate students, PhD researchers, and academic professionals.

GAN-Based Detection of Synthetically Generated Satellite Imagery — IEEE Xplore forthcoming. Invited presentations at the Esri International User Conference (18,000+ professionals) and King's College, University of Cambridge.

Patents cover domain-shift evaluation methodology and quad-stream detection architecture. Davidson submission on domain shift in deepfake detection.

Advanced DeepTrust to the Conrad Challenge Finals, placing among the Top 5 global finalists. Competition validation alongside peer-reviewed publication track.

Selected from approximately 24,000+ students across 160+ countries.

Entrepreneurship recognition for DeepTrust.

• California State Science Fair — 4th Place
• Contra Costa County Science & Engineering Fair — 1st Place
• Contra Costa County Science & Engineering Fair — 2nd Place (×2)

Intensive summer program in discrete math and proof-oriented work.

Founded DeepTrust after a personal deepfake incident revealed how quickly manipulated media can undermine trust, identity, and safety.

• One of the first consumer-facing, multi-modal, multi-lingual deepfake detection platforms with enterprise-grade accuracy
• Detects synthetic video, audio, image, and satellite media across languages—tuned for compression, distribution shift, and conditions outside benchmark sets
• AITruthCheck.app: installation-free tool aimed especially at seniors and teens; making enterprise-grade media verification accessible to everyday users, schools, journalists, and institutions
• Currently running school pilots to evaluate usability, student safety needs, and institutional adoption
• Patent-pending quad-stream detection and domain-shift evaluation methods grounded in three peer-reviewed IEEE research publications
• Conrad Challenge Finals — Top 5 global finalist; Blue Ocean Entrepreneurship Competition Top 100 Global; Mott Million Dollar Challenge semifinalist

• Built MLSummer.com's first machine learning model (algorithmic bias in loan approval data); guided students through the full research process from problem framing to publication
• Mentored students toward their first research publication—co-authoring Novel Machine Learning Approach to Loan Approval Predictions in IJARCCE
• Helped students connect machine learning to real-world questions of fairness, access, and automated decision-making
• Hands-on curriculum: training, evaluation, ethical analysis; students were part of the publication process

Built and scaled a Gen-Z streetwear brand from scratch—1,000+ original apparel products sold. Led design, brand identity, full-stack e-commerce development, marketing, fulfillment, and customer experience end to end. Coordinated with international production partners on sampling, manufacturing, quality control, timelines, and inventory.

• 6,000+ students reached (SVEF, National 4-H GIS AI, private school pilots combined)
• 35 school districts using Tech Demystified books
• 3 SVEF Elevate CS classes taught (summer 2025)
• 75+ students per year at Knowledge House STEM Academy
• 2 private schools running active DeepTrust / AITruthCheck pilots
• 3 books published; 1,000+ products sold (Atremo / Hathor)

DeepTrust began as peer-reviewed work on domain shift in deepfake detection, became patent-pending platform and a public tool, and is now in active educational pilots—the research drove the product; the product reaches the people the research was written for.

• Built and led a student-run STEM academy teaching 75+ students annually across computer science, data science, and competition math
• Designed and launched the academy's first full-stack web development and Python for Data Science courses
• Created hands-on curricula through websites, coding exercises, data analysis projects, Math Olympiad, and AMC 8 preparation
• Managed weekly classes, curriculum planning, student onboarding, parent communication, and peer mentorship

• Helped build MLSummer.com's first machine learning model and applied research project
• Guided students through the full research process—from problem framing and model development to experimentation and paper writing
• Mentored students toward their first research publication, co-authoring Novel Machine Learning Approach to Loan Approval Predictions in IJARCCE
• Helped students connect machine learning to real-world questions of fairness, access, and automated decision-making

• Taught computer science and STEM topics through National 4-H, helping broaden access to hands-on technology education
• Led and taught student AI projects on deforestation, geospatial analysis, and environmental applications
• Received the Robert Brownlee Science Award through the University of California 4-H Youth Development Program for science inquiry, experiential learning, and STEM education impact

Three classes of underrepresented students in computer science—the same organization that adopted Cybersecurity Demystified across 35 districts. The books were written for students like this; the classroom is what it looks like to follow that through.

Peer instruction and mentorship in the school's most advanced CS offering.

Student-focused book explaining cybersecurity through real-world examples and plain-language storytelling. Breaks down phishing, malware, encryption, firewalls, digital identity, AI security, and deepfakes for middle and high school audiences.

• Adopted by Silicon Valley Education Foundation's cybersecurity program—35 school districts, 5,000+ students
• Also adopted by Magnolia Cybersecurity Institute and Enochs High School's cybersecurity program

• Founded Athenian's first centralized hub for student technology projects and responsible innovation across middle and upper school divisions
• Created a school-wide platform for students building across AI, cybersecurity, robotics, engineering, entrepreneurship, and design
• Showcases work from Engineering, Advanced Engineering, Advanced CS, and independent student projects—with ethics checkpoints on privacy, safety, misuse, and real-world impact
• Hosting speaker panels, hackathons, and student-led innovation showcases focused on responsible technology and ethical design
• Expanded the program to middle school, introducing ethical design thinking before students enter upper school engineering and computer science tracks

Facilitates whole-school community meetings: agenda design, inclusive discussion formats, and follow-through so student voice shapes school culture and decision-making.

Cultural programming including Diwali and Holi—identity, belonging, and inclusion across the school community.

• Six-year FTC Robotics involvement; programming lead and team captain
• Programmed Java-based autonomous routines and optimized robot control systems
• Mentored new programmers in coding and robotics strategy
• Two-time regional qualifying team
• Awards: Design, Connect, Think, and Finalist Alliance recognition; FTC Connect Award (2024), FTC Design Award (2025), FTC Dean's List Semifinalist (2025)

• Served as co-programming lead for FRC at school, working across robot control systems, debugging, and cross-functional engineering collaboration
• Integrated Limelight vision tracking to improve robot navigation and precision tasks
• Coordinated collaboration between software and hardware teams
• Regional competition; coordinated software and hardware integration

Coverage spans cybersecurity trade press, AI industry outlets, diaspora community media, and local news—reflecting both technical depth and regional impact of the underlying research and outreach.

Competition mathematics as a long-running training ground for proof-style thinking, careful problem decomposition, and persistence under time pressure—skills that carry directly into research debugging and system design.

Python, machine learning, deep learning, computer vision, CNN architectures, frequency-domain analysis, synthetic media detection, deepfake detection, GAN-generated image detection, audio deepfake detection, satellite imagery analysis, domain-shift evaluation, data analysis, model evaluation, full-stack web development, robotics programming, research writing, and technical presentation.

Core languages for systems work, ML pipelines, web surfaces, and teaching curricula. Python and JavaScript anchor research prototypes and product interfaces; C/C++ and Java support performance-sensitive robotics and coursework.

Public speaking, research presentation, curriculum design, teaching and mentoring, student leadership, entrepreneurship, product development, pitching, cross-functional project coordination, writing for technical and general audiences, and ethical technology framing.

YOLOv5 for detection pipelines; ArcGIS for geospatial storytelling and GIS AI programming; Colab for large-scale experiments; GitHub for versioned research code and collaboration with teams and students.

AI and cybersecurity, digital trust, robotics, teaching, entrepreneurship, fashion and streetwear design, accessible technology books, English/writing, ethical technology, math, and problem solving.

Multilingual outreach and affinity leadership; Spanish supports broader classroom and community facilitation alongside technical work.

Continue developing DeepTrust and expanding school pilots; strengthen product usability and model reliability; continue publishing and presenting AI security research; expand the Tech Demystified series; grow the Tech & Ethics Club; continue mentoring through Knowledge House STEM Academy and MLSummer.com; apply to college programs in computer science, AI, cybersecurity, writing/communication, and entrepreneurship.

Work at the intersection of AI, cybersecurity, entrepreneurship, education, writing, and public trust. Build tools that help people verify digital information, advance AI security research that works in real-world conditions, make CS and cybersecurity education more accessible, and create technology that is powerful, accountable, understandable, and safe.