Tesseract OCR | Urdu Model Contribution
Contributed a fully custom-trained Urdu OCR model (12,000+ samples) with ~73% character-level accuracy to the official Tesseract OCR repository, significantly outperforming the default Urdu model.
Contributed a fully custom-trained Urdu OCR model (12,000+ samples) with ~73% character-level accuracy to the official Tesseract OCR repository, significantly outperforming the default Urdu model.
Recognized as Head of Architecture and DevOps for leading the design and infrastructure of "Nawadiraat Aalami Lughaat," a pioneering multilingual digital dictionary initiative promoting Urdu, Arabic, English, Persian, and Pakistani languages. Highlighted during the launch coverage by Geo News.
Identified and reported critical vulnerabilities to enhance the security posture of global platforms, contributing to a safer digital ecosystem.
Earned acknowledgments, cash bounties, and swags for proactive cybersecurity efforts and responsible disclosure.
Awarded for designing and fabricating an Autonomous Fire-Fighting Robot, showcasing innovation and engineering excellence.