Project NexTech Executive Committee Member
2025 – Present · Part of the executive committee helping manage a 400-member student-led international STEM organization that has taught 1,800+ students across 18 countries.
Portfolio
Building useful systems from security, data, and machine learning.
I'm Ishan Jha, known online as Jupiterian. I'm a high school student focused on computer science, CyberPatriot, and real-world data projects—from cybersecurity hardening to ATP tennis ranking analytics and applied ML research.
2×CyberPatriot National Finalist
400+Project NexTech volunteers supported
18Countries reached through STEM teaching
7Deep-ML challenges solved
Leadership
Leading technical communities with measurable reach.
I enjoy combining technical work with education and community building, especially when it helps other students discover cybersecurity, programming, and emerging areas of technology.
Competitions
Cybersecurity and science competition experience.
CyberPatriot and CTFs
2023 – Present · CyberAegis Team
- 2× National Finalist (CP 17, CP 18)
- 2nd place at CyberPatriot 17 National Finals, middle school division, out of 700+ teams
- 1st place in CyberPatriot Semifinals Open Division (CP 18)
- 3rd place at CyberPatriot 18 National Finals, Open Division, out of 2,800+ teams
- 2nd place at SoCal CyberCup 2024 Middle School Division
- 3rd place at SoCal CyberCup 2025 High School Division
- 1st place at SoCal CyberCup 2026 High School Division
Science Olympiad
2022 – 2024
- 15× medalist across regional and state competitions: 10 regional medals and 5 state medals.
- Completed a “Perfect Year” in 6th grade, medaling 4 times at regionals and 4 times at state.
Selected work
Projects
ATP Rankings Data Visualization
A Python and FastAPI project for exploring ATP singles rankings through a SQLite-backed web app, REST API, CLI utilities, and MCP server.
More about this project →MRI and Language Based Dementia Evaluation
A multimodal machine learning project combining brain MRI imaging with language analysis to evaluate dementia risk and support early screening workflows.
More about this project →Morpheus: Learning the Dynamics of Unseen Physical Environments Through Observation Alone
A system that learns the underlying mechanics of physical environments through observation alone. More info coming soon.
- IAI2O Global Finals · Honorable Mention
- IAI2O Preliminary Round · Regional 1st Place
See more work on my GitHub repositories.
Learning in public
Machine learning, from first principles.
ML Learning Portfolio
A self-curated portfolio of my ML scratchwork: core models and algorithms built from scratch, alongside mini projects that put them to use.
View on GitHub →Deep-ML Solutions
A home for all of my work on deep-ml.com, collecting my solutions to its machine learning and linear algebra problems in one place.
Visit deep-ml.ishanjha.com →Contact
Let's connect.
If you want to ask about my projects, share ideas, or collaborate, the easiest way to reach me is through GitHub or Devpost.