• Collaborated with a team at 360 Xpert Solutions to develop a participant registration andverification application for an athletic company, resulting in streamlined data capture for over2,000 participants before the race.• Implemented a verification system using the OpenCV library in Python that cross-referencesthe declared winner with the initial registrant among 2,000+ participants, ensuring fairness andpreventing fraud during events.• Enhanced competition integrity and participant experience by creating a transparent verificationprocess, leading to a significant increase in trust among athletes and organizers.• Contributed to a trustworthy race environment through innovative features, improving overallrace operations and participant satisfaction.

Developed spiking neural networks (SNN) for microprocessors, enabling decision-makingcapabilities similar to human neural networks and resulting in smarter, adaptive systems thatrespond to real-time data.• Integrated AI algorithms into microprocessors, enhancing functionality and improving overallperformance across various applications.• Contributed to the Vaquita project, an open-source RISC-V vector core, leading to enhancedparallel data processing and improved computational efficiency through advanced maskingtechniques.