Software Engineer @ Synchrony • Backend Systems • AI/ML Background
I'm a Software Engineer building backend systems for digital payments (tokenization, API platforms, partner integrations).
I focus on:
- reducing operational friction
- automating repetitive workflows
- making systems easier to understand and use
Recently:
- Built an API testing framework that reduced regression time from ~90 min → ~2 min
- Led multi-client integrations across distributed payment systems
- Improving internal developer tooling and documentation at scale
Before that, I published ML research on detecting LLM-generated code (Springer Nature), achieving 99% accuracy on large-scale datasets.
- AI-assisted developer workflows
- Backend systems at scale
- Developer tooling & automation
- Practical applications of LLMs in production
Full-stack NeetCode tracker designed to reduce friction in interview prep
Tech: React, TypeScript, Spring Boot, Postgres
- Multi-list tracking, activity calendar, streaks, "Up Next" queue
- OpenAPI contract-first design to prevent FE/BE drift
- Built using an agentic dev workflow (OpenAI Codex)
Manhwa discovery and rating platform
Tech: React, Spring Boot, PostgreSQL
- Search, filtering, user ratings, custom lists
- JWT + Google OAuth auth system
- Full-stack system design and deployment
First-author published research on detecting AI-generated Java code
- 99% accuracy, 0.999 AUC (Springer Nature)
- Created datasets with 76K+ files
- Reduced feature dimensionality 1000x while improving performance
Backend
- Java, Spring Boot
- REST APIs, Microservices
- PostgreSQL
Tools & Infra
- Postman (automation/testing)
- HashiCorp Vault
- AWS
Other
- Python (ML, automation)
- OpenAI APIs / LLM workflows
- LinkedIn: https://www.linkedin.com/in/timothy-paek
- GitHub: https://github.com/tipaek
I like working on hard problems, especially where systems, tooling, and AI intersect.