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Report abuseSoftware 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:
Recently:
Before that, I published ML research on detecting LLM-generated code (Springer Nature), achieving 99% accuracy on large-scale datasets.
Full-stack NeetCode tracker designed to reduce friction in interview prep
Tech: React, TypeScript, Spring Boot, Postgres
Manhwa discovery and rating platform
Tech: React, Spring Boot, PostgreSQL
First-author published research on detecting AI-generated Java code
Backend
Tools & Infra
Other
I like working on hard problems, especially where systems, tooling, and AI intersect.
Code for "Detection of LLM-Generated Java Code Using Discretized Nested Bigrams" (arXiv:2502.15740). Achieves state-of-the-art performance in distinguishing human vs. LLM-written Java.
Java 1
🎧 AI-powered podcast that explains all NeetCode 150 problems in TED-Ed style. No code — just clear, intuitive algorithm explanations you can listen to on the go.
Python 1
Rankhwa — Full-stack manhwa/webtoon discovery and ratings platform. Built with React + TypeScript (Vercel) and Spring Boot + PostgreSQL (GCP), featuring search & filters, JWT + Google OAuth, per-us…
TypeScript
A dataset composed of Java source code and GPT altered code for classification training.
A dataset for testing large-scale GPT 4o detection.
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