Feb 2024 – Jul 2024 · 5 mos · Remote

• As a dedicated Full Stack Developer, I play a crucial role in Project Frost, a pivotal initiative aimed at enhancing landing page performance through detailed analysis, optimization, and development of editable user interface components.
• A significant part of my responsibilities within Project Frost is developing an internal tool designed to test the landing pages created by developers. This tool conducts adaptability testing to ensure landing pages are editable by generating JSON for the pages and responsiveness testing to verify perfect rendering across different screens. To achieve this, I leverage React for building a dynamic and responsive frontend, Redux for efficient state management, and Django with GraphQL for a robust and scalable backend. This internal tool ensures a comprehensive testing environment, enhancing the reliability and effectiveness of landing pages. Additionally, Project Frost involves creating automation scripts to combine various widgets and JavaScript based on user input, significantly improving the landing page experience by adding extra JavaScript for enhanced performance. By integrating these processes, Project Frost ensures a seamless and dynamic user experience while maximizing performance and customization capabilities, underscoring the project’s importance in driving the overall success and effectiveness of the product. My contributions to the development and refinement of this tool highlight my expertise in full stack development and my commitment to delivering high-quality, user-friendly solutions. My work in Project Frost underscores my ability to integrate advanced technologies and methodologies to optimize landing page performance and user experience.

May 2022 – Jun 2022 · 1 mo · India

• Mentored by a Senior Engineer from Microsoft to complete a project on a Photo Recognition Security System.
• Developed a face recognition-powered transaction system to verify online transactions, replacing OTP verification.
• Stored identities of individuals conducting transactions for potential fraud identification.
• Gained insights into actual planning and SDLC processes used in corporate projects.
• Developed a face recognition-powered transaction system to enhance security and verify online transactions without OTP verification.
• Utilized facial recognition technology to confirm identities during transactions, improving user experience and reliability.
• Stored identities of transaction participants to facilitate fraud detection and accountability.
• Implemented the photo recognition feature using Python, crafted the backend with Node.js, managed the database using MongoDB, and developed the frontend using the JavaScript library React.
• Met all desired requirements and demonstrated excellent performance with the project.
• Submitted an application for a patent, currently under review, showcasing the innovation and potential impact of the project.
• Highlighted the technical robustness and team dedication through project achievements.
• Aimed to validate the uniqueness of the solution and protect intellectual property by obtaining a patent.

Nov 2021 – Jan 2022 · 2 mos · Remote