Shivail Anand

• Deeply fascinated by the convergence of Artificial Intelligence and Quantum Computing, and their collective potential to revolutionize global industries by solving complex problems unsolvable by classical computers, from drug discovery and climate modeling to optimizing large-scale logistics and advancing encryption methods, thus opening new horizons for technological innovation and societal advancement.
• Engaged in studying various cryptocurrencies, tokens, and their underlying mechanisms, including consensus algorithms and tokenomics, motivated by the potential of blockchain technology to address societal challenges, such as enhancing transparency in supply chains and enabling secure digital identities.
• Passionate about exploring scalable cloud solutions and architectures to enhance digital transformation and operational efficiency, with a keen interest in understanding and leveraging the capabilities of leading cloud service providers like AWS, Google Cloud Platform, and Microsoft Azure to develop robust, scalable applications.

Augmented Reality Web App | HTML, Javascript, AR.js, A frame February 2024
• Developed an immersive AR web application that enables users to interact with 3D objects overlaid on the real-world environment through their device's camera.
• Utilized A-Frame and AR.js, powerful web frameworks, to construct interactive AR scenes accessible via web browsers without the need for additional downloads or installations.

Translator | Python February 2024
• Engineered an intuitive multi-language translation application, leveraging Python and the Tkinter library for a streamlined graphical user interface.
• Integrated advanced speech recognition capabilities, allowing users to input text through voice, thereby enhancing accessibility and user engagement.
• Utilized the Google Translate API for accurate and dynamic language translation between multiple languages, including English, Hindi, Gujarati, Spanish, and German

Virtual Memory Manager | C February 2024
  Designed and implemented a virtual memory manager using C.
• Implemented the model using Least Recently Used (LRU) algorithm for page replacement and Translation Lookaside Buffer (TLB) management.
• This project showcased my deep understanding of operating systems concepts, including paging, page replacement algorithms, and memory management techniques.