Computer Science @ UC Irvine (Class of 2026)
Building AI systems, backend infrastructure, and developer tools.
- Building AI systems, backend infrastructure, and developer tools.
- Recently built Fessor.ai, SignalRank, Lex, and Nautilus.
- Interested in distributed systems, LLM applications, and scalable architectures.
- Passionate about turning research ideas into production systems.
AI textbook generation platform
Multi-model orchestration, asynchronous workflows, realtime assistants, credits, quizzes, exams, and interactive learning.
Tech: Django, Next.js, Redis, Celery, PostgreSQL, WebSockets, GCP
AI visibility auditing platform
Analyzes how LLMs understand and cite companies using deterministic scoring and structured analysis.
Tech: TypeScript, Next.js, OpenAI, Zod, Cheerio
Drag-and-drop email builder
Built with Puck, React Email, Resend integration, scheduling, live preview, and mock-safe delivery.
Tech: TypeScript, Next.js, React Email, Resend
Source-backed rules intelligence platform
Turns fragmented tax/compliance sources into searchable, cited, reviewable operational workflows with ingestion, retrieval, confidence scoring, human review, and analytics.
Tech: FastAPI, Python, TypeScript, React, retrieval, citations, human-in-the-loop workflows
- AI Systems
- Distributed Systems
- Large Language Models
- Retrieval-Augmented Generation (RAG)
- Multi-Agent Systems
- Developer Tools
- Scalable Backend Infrastructure
Distributed architectures, asynchronous workflows, databases, caching, and APIs.
LLM-powered systems, structured outputs, evaluation, and orchestration.
Scalability, realtime systems, queues, reliability, and production architecture.

