
Innovative Student-Programmer with expertise in C++, Python, Java, and web development. Developed cross-platform mobile applications using Flutter, implemented secure API authentication, and created interactive AI assistants for health-tech platforms. Engineered end-to-end computer vision pipelines, fine-tuning TrOCR models and optimizing character error rates. Passionate about leveraging artificial intelligence and machine learning in practical applications.
Co-developed historical ledger OCR pipeline using Python, emphasizing full-page text detection and row clustering. Led research on alternative OCR framework built on Gemma 4 E2B, exploring enhancements like multi-OS hosting, implementing high-contrast preprocessing, and executing CSV labeling.