open to summer 2027 internships
I build systems that understand language — and the structure underneath it.
projects
/// selected work code-complete · pre-launch case study →
Fade
A Telegram-native trading bot for Polymarket prediction markets — solo trading, per-user non-custodial wallets, and a social layer where friends copy or fade each other's trades with one tap.
in production case study →
Notion CRM & AI Automation
Architected a centralized Notion CRM and operational data model from scratch for a dental-practice brokerage, then extended it with AI agents that autonomously update records and a governance framework so new agents run consistently across the business.
hackathon prototype case study →
DoseGuard
An AI verification layer that catches medication-translation errors invisible to standard translation tools — independent back-translation checks, semantic drift detection, and a dedicated diacritic validator for Yoruba, where one dropped accent mark can silently double a dose.
about
/// whoami$ whoami
rising sophomore — cs + linguistics major. i study how language works, then build systems that use it.
$ cat now.txt
building with llms · learning pytorch properly · reading about tokenizers more than is strictly normal
$ grep -i "why" story.md
syntax trees and neural nets turned out to be the same hobby: finding the structure underneath language.
$ ls goals/
ai-engineering-internship/ship-something-people-use/
$
skills
/// stack.js // languages, frameworks, tools — in no particular order
import {
Python, TypeScript, C++, SQL,
PyTorch, React, FastAPI, Node.js,
Claude API, Make.com, Git,
Formal Syntax, Computational Linguistics
} from 'jayden/skills';
import {
Python, TypeScript, C++, SQL,
PyTorch, React, FastAPI, Node.js,
Claude API, Make.com, Git,
Formal Syntax, Computational Linguistics
} from 'jayden/skills';