At Prinston Smart Engineers, I engineered an end-to-end resume matching engine using skill-based matching algorithms, improving candidate shortlisting accuracy by 40%.
I also optimized the screening workflow through resume parsing and semantic skill analysis, reducing manual review time from two hours to 30 minutes per batch.
On SentinelX, I built a browser security and data loss prevention project that detects exposed credentials and personal data. Its detection engine achieved 98% recall, 90.7% precision, and a 94.2% F1-score on a 100-sample benchmark.
My other projects include VisionGuard, a deep learning anomaly detection pipeline that achieved 95% validation accuracy, and cloud-native candidate screening and AI itinerary platforms. I’m interested in applying machine learning and software engineering to practical products.
