Skilled in Cloud Support, UI/UX design, and MERN Stack development. Proven ability to deliver robust cloud solutions, troubleshoot complex issues, and contribute to the development of impeccable applications. Acknowledged for meticulous design and a strategic approach to innovation. Ready to drive excellence in upcoming projects.
FreakyFawn App
• Developed an innovative Learning Management System (LMS) software designed for client companies to enhance the training experience for HR and Sales teams through gamification strategies.
• Implemented a user-friendly platform for client companies to upload customized training decks, streamlining the training process.
• Introduced a dual-user role system (Learners and Builders) for optimized collaboration and knowledge transfer within teams.
• Ensured seamless client support by promptly addressing and resolving issues, contributing to overall satisfaction and retention.
Pitchiquo
• Identified and resolved bugs promptly, enhancing user experience.
• Implemented regular updates to improve the user interface and user experience.
• Created comprehensive Figma designs for the Pitchiquo website, ensuring a cohesive and visually appealing platform.
• Demonstrated deep understanding of the product, addressing critical and minor issues promptly and efficiently.
• Collaborated effectively with the Sales Team to articulate the features and benefits of Pitchiquo, ensuring a clear understanding of the project.
• Employed Git for version control, pushing updates to the master branch after successful local implementation.
Security and Access Control
• Configured Network Access Control Lists (NACLs) and Security Groups to enforce fine-grained security policies at the subnet and instance levels.
• Implemented VPN connections to establish secure communication and leveraged AWS Identity and Access Management (IAM) roles for access management.
Counterfiet Currency With Artificial Intelligence(college project)
• Developed a model focused on detecting fake currencies prevalent in the Indian market.
• Aimed to deploy the model in an application (App) or WebUI for real-time identification.
• Designed to assist both individuals and machines in identifying fake currency notes through images.
• Implemented techniques to ensure real-time detection accuracy for enhanced security