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.
VisitOpen-source contributions, responsible-disclosure security research, and recognition that reached beyond the codebase.
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.
VisitRecognized 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.
VisitSecurity Contributions
Identified and reported critical vulnerabilities to strengthen the security posture of global platforms.
Earned acknowledgments, cash bounties, and swags for proactive cybersecurity efforts and responsible disclosure.
Awarded for designing and fabricating an Autonomous Fire-Fighting Robot.
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