I build small
systems that
have to be right.
I am a sophomore at CSUN’s Nazarian College studying Information Systems. Most of my time goes into one thing: an automated daily market brief that has run every morning since August 2026, reports on a real portfolio, and grades its own predictions against what actually happened.
- Focus
- Technology & risk advisory
- Degree
- BS Information Systems
- Graduating
- June 2029
- Looking for
- Summer 2027 internship
- Based
- Los Angeles, CA
The fifteen-second version
My background and the Morning Ledger, cut to a 128 BPM track. Directed with Claude and rendered entirely from code, frame by frame. Sound on.
The Morning Ledger
A daily market brief that assembles itself, degrades honestly when its sources are unreachable, and keeps a scored record of every call it makes. The interesting problems were never the data.
The failure that had no error message
The first version ran on a 9am cron. It worked, and the output was quietly worse every single day. Unattended runs could not reach the authenticated data sources, so each one silently fell back to a thinner substitute. The brief still published. It still looked complete. Nothing in it said otherwise.
The fix was not better error handling — it was changing when the job runs, so it happens while I am present and the sources connect. That one diagnosis shaped everything else in the system.
running daily since
0silent fallbacks — every degraded run labels itself
Every callgraded and published, misses included
It grades its own calls
Any prediction specific enough to be checkable gets logged with a horizon date and the reasoning behind it, written before the outcome is known. When the horizon passes, a later run scores it and writes down which mechanism was misjudged. A system that only ever forecasts forward has no way to be wrong.
A sample grade, unedited
Half right. Direction was right, magnitude was badly wrong: predicted −1% to −2%, actual −0.05% — a 20–40× overestimate. Cause: sized the print as if it landed into an unchanged backdrop, but dovish comments 24h earlier had already moved the odds. The two events largely cancelled.
Lesson: size the delta versus what is already priced, not the absolute surprise.
Read the full case study →Where I am coming from
Education
California State University, Northridge
David Nazarian College of Business and Economics
- Degree
- BS Information Systems
- Concentration
- Business Systems
- Expected
- June 2029
Experience
- AMC Theatres — Crew Member
- 2025 – now
- Cage Roller Hockey — Scorekeeper
- 2023 – 2025
- Entrepreneurship Club — VP
- 2023 – 2024
Certified
Microsoft Office Specialist — Excel Associate
What I actually work with
A short list on purpose — these are things I have used to build something that runs, not things I have read about.
Learning Python next, for the analysis side of the project above.
Open to summer 2027
internships.
Technology advisory, IT audit, or business systems analysis. Los Angeles or remote.