About
Highly motivated and results-oriented Computer Engineering student with a robust foundation in full-stack development, cloud technologies, and AI/ML. Proven ability to design, develop, and deploy scalable applications, demonstrated through impactful internships at Amazon and Nodebrew, and a portfolio of innovative projects. Eager to leverage technical expertise and problem-solving skills to drive significant contributions in a dynamic engineering environment.
Work
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Summary
Contributing to the Relational Database Service (RDS) team, focusing on enhancing cloud infrastructure and developing AI-powered solutions.
Highlights
Collaborating with the Relational Database Service (RDS) team at Amazon Web Services (AWS) to enhance core cloud infrastructure.
Engineered and deployed Generative AI-powered automation, significantly improving ticket resolution accuracy by 78% and reducing manual effort and response time by 75%.
Developed robust RESTful APIs in Core Java, achieving 95% test coverage through comprehensive unit testing with JUnit and Mockito.
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Summary
Developed responsive and engaging user interfaces for web applications, focusing on intuitive user experiences.
Highlights
Designed and developed a responsive, engaging frontend for a non-profit organization during an all-women hackathon.
Utilized React.js, Bootstrap, HTML, and CSS to craft an intuitive and seamless user experience, enhancing accessibility and engagement.
Languages
English
Fluent
Hindi
Native
Skills
Programming Languages
Python, Java, JavaScript, TypeScript.
Web Development
HTML, CSS, TailwindCSS, React.js, Node.js, Express.js, Spring Boot.
Databases
MongoDB, MySQL, Cloud Firestore.
Cloud Platforms
AWS, GCP, Azure, Streamlit Cloud Services, Firebase.
App Development
React Native, Expo.
Testing Frameworks
JUnit, Mockito.
Design & UI Libraries
Figma, Canva, Material UI, Chakra UI, React Native Paper, Bootstrap.
Machine Learning
Sci-Kit Learn, Pandas, OpenAI APIs, Generative AI.
Backend Frameworks
Flask, SQLAlchemy.