Cybersecurity
Linux hardeningIncident responseAnomaly detectionService configurationOWASP reviewBlue team defense
Student • Cybersecurity • Robotics • AI/ML
Hi, I’m Dhyan Soni.
I build practical technical projects across cybersecurity, robotics, AI/ML, and software engineering. I enjoy learning by doing, teaching others, and shipping work that is useful in real environments.
DS
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Currently focused on
- Cybersecurity and blue-team defense
- Robotics autonomy and vision systems
- Applied machine learning and systems thinking
About
Practical, curious, and hands-on.
I’m a high school student who likes turning hard technical problems into simple, reliable systems. My work spans cybersecurity, robotics, and machine learning, and I especially enjoy situations where I can learn fast, teach others, and ship something concrete.
I’ve spent a lot of time on blue-team defense, Linux hardening, robot software, and applied ML. I want to keep building projects that are useful, trustworthy, and easy to understand.
Education High school + ML coursework
Del Norte High School and UC San Diego Futures machine learning studies.
Leadership Teaching + mentoring
Led curriculum, coached peers, and supported students in robotics and coding.
Direction Technical growth
Focused on cybersecurity, robotics autonomy, and real-world engineering practice.
Skills
A clean view of what I work with.
Robotics & Controls
Control theoryAutonomous routinesVision processingSensor fusionSystem modelingComputer vision
Programming
PythonJavaGoC
Machine Learning
PCALDANaive BayesKNNCNNsDeep neural networks
Leadership & Teaching
Curriculum designMentoringPit debuggingTechnical communicationTeam leadership
Languages
EnglishHindiGujarati
Work highlights
What I’ve been building and contributing to.
CyberAegis curriculum leadership
Designed and delivered training for 100+ CyberPatriot competitors on Linux hardening, anomaly detection, and service configuration.
- Cybersecurity
- Training
- Linux
CyberPatriot blue team defense
Defended live enterprise infrastructure as part of a 6-person blue team, specializing in Linux hardening, remediation, and incident response.
- Blue team
- Incident response
- Defense
FIRST Robotics software leadership
Taught control theory, autonomous routines, and computer vision to 15+ students while building vision processing, sensor fusion, and autonomous algorithms.
- Robotics
- Autonomy
- Computer vision
Machine learning coursework
Built dimensionality reduction, supervised classification, CNNs for image processing, and optimization techniques for deep neural networks.
- ML
- PCA
- CNNs
Experience
Leadership, competition, and hands-on engineering.
CyberAegis - Linux Lead
July 2023 - Present
- Designed and delivered curriculum for 100+ CyberPatriot competitors on Linux hardening, anomaly detection, and service configuration.
CyberPatriot Linux Specialized Competitor
Apr 2021 - Present
- Defended live enterprise infrastructure as part of a 6-person blue team, specializing in Linux hardening, post-compromise remediation, and incident response.
- Captained the 2023-2024 National Champion team.
- 4x National Finalist (2023, 2024, 2025, 2026) and top 12 of 5,000+ teams nationwide.
Team Optix FIRST Robotics Challenge Club - Software Lead
Sep 2024 - Present
- Taught control theory, autonomous routines, and computer vision to 15+ high schoolers.
- Developed vision processing, sensor fusion, system modeling, and autonomous algorithms.
- Diagnosed and patched robot code in the pit during 2024-2026 FRC regionals.
CodeNinjas - Intern
October 2025 - January 2026
- Taught young students how to build projects on IMPACT, a Microsoft block coding application.
- Instructed and supervised students building Unity game projects as well.
Education
Formal study plus applied technical learning.
Del Norte High School
Class of 2028
- Freshman 24-25 - AP Biology
- Sophomore 25-26 - AP Calculus AB, AP Computer Science Principles, AP Chemistry, AP Seminar
- UW 4.0 GPA | W 4.33 GPA
UC San Diego Futures: Machine Learning Course
August 2024 - June 2025
- Dimensionality reduction (LDA, PCA)
- Supervised classification (Naive Bayes, KNN)
- CNNs for image processing
- Optimization techniques in deep neural networks
Certifications / Achievements
Recognition that reflects the work.
National CyberPatriot Competition WinnerSoCal CyberCup WinnerFIRST Innovation in Control AwardSpace Grand Challenge WinnerPresident's Volunteer Service Award
Resume
Want the full resume?
Download the resume to see the complete education, skills, experience, and achievements in one place.
Contact
Open to opportunities, collaborations, and conversations.
Have an internship, project, competition, or collaboration in mind? Reach out and I’ll get back as soon as I can.
- Email dhyantsoni@gmail.com
- Phone 858-230-0305
- Location San Diego, CA
- GitHub github.com/dhyantsoni