Bhawana Choudhary

• Designed and optimized high-performance UI for the Sales and Services Application (SSA) using Angular, TypeScript, and HTML, ensuring seamless client interactions and scalability.
• Developed component-based, reusable UI elements, reducing code redundancy and improving scalability.
• Improved Core Web Vitals, reducing load times by 30% through optimized rendering, efficient caching, and lazy loading strategies.
• Designed and implemented WCAG-compliant, accessible UI, ensuring inclusivity for all users.
• Integrated REST APIs, streamlining front-end data flow and enhancing responsiveness.
• Led front-end state management using Redux, ensuring seamless UI interactions.
• Strengthened security with CSP, XSS protection, JWT authentication, safeguarding financial transactions.
• Built progressive web app (PWA) features, enhancing offline usability and mobile responsiveness.
• Collaborated in Agile teams, refining front-end workflows through CI/CD pipelines with Jenkins & Bitbucket.
• Developed and maintained software applications to enhance banking operations and user experience.
• Collaborated with cross-functional teams to gather requirements and deliver effective software solutions.
• Participated in Agile ceremonies, contributing to sprint planning and retrospective discussions for continuous improvement.

• Developed responsive web applications using React and Node.js, enhancing user experience and functionality.
• Built a REST API framework, optimizing backend scalability and integration speed.
• Designed full-stack architecture for affiliate business using JavaScript, PHP, and HTML.
• Collaborated with cross-functional teams to gather requirements and deliver software solutions that met client needs.

• Developed transaction visualization dashboards using D3.js & Chart.js, improving data insights.
• Built a REST API framework, optimizing backend scalability and integration speed.
• Designed full-stack architecture for affiliate business using JavaScript, PHP, and HTML.

• 8.45 GPA/CGPA
• Compex Scholarship, 2018 from Indian Embassy, Nepal
• Marketing Head of CUBE Club, VIT
• Member of IEEE SSIT, 2018 to 2020
• Movie & Music Recommendation System using Emotion Recognition- Capstone Project : An AI model made using python where user's facial expressions is compared against dataset of expression and emotion associated with it such that we get the emotion of the user and hence suggest movies/music based on their mood.

• 82.2%
• Cultural Secretary, 2018

10 GPA/CGPA