Software Engineer | MS Computer Science @ University of Cincinnati
Research Assistant | Applied ML & Software Architecture
- ๐ MS Computer Science at University of Cincinnati (GPA 3.88/4.0)
- ๐ฌ Research Assistant working on software architecture recovery using LLMs and static analysis
- ๐ First author โ paper submitted to APSEC 2026 (top-tier software engineering venue)
- ๐ผ Former Software Engineer at Opus Infiniti Services โ REST APIs, SQL optimization, data pipelines
- ๐ค Building ML systems in PyTorch โ CNNs, RNNs, NLP
- ๐ Hackathon winner โ CHIPSET, CodeChef
๐ก๏ธ Phishing Detection ML
RNN-based phishing detection system โ 93.49% accuracy, 95.46% recall Trained on 11,055 URLs with 30 features using PyTorch
Full-stack recommendation engine on AWS Built with Python, React, Node.js, SQL, REST APIs
๐ AI Food Recognition
CNN-based real-time food classification โ 88% accuracy Built with PyTorch, OpenCV, FastAPI
Beyond the Diagram: An Empirical Study of Source-Code-Derived Software Architecture
- Under review: APSEC 2026
- Analyzed 50+ large-scale open-source systems
- Built automated pipeline using Python, LLMs, static analysis, Graphviz
- Reproducible artifact released on Zenodo
Languages:
ML & Data:
Backend & Cloud: