Swetha guruju

Designed and implemented GraphQL APIs, optimizing data querying for scalable cloud-native services on Azure and AWS, reducing client-server communication overhead and improving application performance 35%. Engineered and maintained web applications using Angular, following best practices and design patterns to create modular and maintainable code by 25%. Configured CI/CD pipelines using GitHub Actions, integrating Jest for automated unit tests and Cypress for end-to-end testing to enhance application stability and performance by 20%.

Developed for NASCO (National Account Service Company LLC) as a PEGA (cloud Framework) software developer optimization to write & collaboration to implement application products by 10%. Managed and optimized SQL and NoSQL databases, achieving a 40% improvement in data retrieval efficiency and a 30% reduction in storage costs, used tech stacks related to MySQL and MongoDB. Implemented and optimized RESTful APIs and server-side logic, enhancing data processing efficiency by 25% and reducing server response time by 20% using Java and Spring. Led the development of a responsive web application( Angular and React) , resulting in a 20% increase in user engagement and a 15% decrease in load times. Collaborated closely with cross-functional teams, including product management, UX/UI design, and QA, to deliver high-quality software solutions that met customer needs within strict deadlines by 20%. Enhanced the performance of PEGA applications by optimizing rules and workflows, resulting in a 15% improvement in processing efficiency for business operations. Led data migration efforts from legacy systems to modern SQL and NoSQL databases, ensuring data integrity and achieving a 98% success rate in migration efforts. Spearheaded UI/UX enhancements, leading to a 15% increase in customer satisfaction scores and an improved user journey on NASCO’s web applications. Managed and tracked bugs and issues using Jira, collaborating with development and QA teams to ensure timely resolution of critical bugs, improving project delivery timelines by 25%. Worked on integrating various APIs, including REST and SOAP services, ensuring smooth data exchange and communication between different services and platforms by 20%.

Applied machine learning algorithms to predict traffic conditions, resulting in a 20% reduction in workload. Led the estimation of a density-based traffic signal control system by 25% utilizing AI to optimize traffic flow. Deployed regulatory-compliant solutions, data privacy standards by 15% in traffic management systems.

Languages: Java, HTML, CSS, JavaScript, Python, C, C#, MySQL, rest, Linux, NodeJS Frameworks and Tools: NumPy, Pandas, Matplotlib, Scikit-Learn, TensorFlow/Keras, VI Studio, Kaggle Platform, Jupyter Notebook, Google Collab Cloud Technologies: Pulumi, Google Cloud, DynamoDB, CloudWatch, CI/CD, EC2, S3, Lambda, Databases: MongoDB, MySQL, MS SQL, Oracle, AWS RDS, MariaDB Skills: Visual Studio, Amazon Web Services (AWS)