Designed, expanded, and maintained cloud-native applications and APIs using Python (Django, Flask), deployed on Microsoft Azure App Services, Functions, and Azure SQL to enhance scalability and reliability across production environments. Built and optimized data-driven microservices leveraging Azure Service Bus, Blob Storage, and Event Grid, enabling seamless data exchange between distributed systems and reducing operational latency by 15%. Implemented CI/CD pipelines, Terraform, and Azure DevOps workflows for automated deployments and infrastructure-as-code, improving release speed, consistency, and reducing manual errors by 30%. Enhanced and deployed machine learning models using Python, Pandas, Scikit-learn, and Azure ML Studio to automate data-driven insights and improve business process accuracy through predictive analytics. Collaborated with cross-functional Agile teams to perform testing, monitoring, and troubleshooting using PyTest, Application Insights, and Azure Monitor, ensu

Software Engineer at TCS India

August 1, 2020 - August 1, 2022

Designed, expanded, and deployed scalable enterprise applications using Java, Spring Boot, and RESTful Microservices, ensuring clean architecture, high performance, and secure API communication across modules. Built and managed cloud-native solutions on AWS (EC2, S3, Lambda, RDS, CloudWatch, SQS/SNS) using Terraform and CI/CD pipelines (Jenkins, GitHub Actions), automating deployments and reducing manual effort by 30%. Enhanced Python-based automation utilities for log monitoring, data processing, and report generation, streamlining operational workflows and improving production issue resolution times. Cooperated with cross-functional teams in Agile/Scrum environments to gather requirements, conduct code reviews, and ensure timely delivery of maintainable and reliable software solutions. Optimized NoSQL and MySQL databases, fine-tuned complex queries, implemented unit/integration testing (JUnit, Mockito), and applied DevOps monitoring tools to enhance performance and reliability. Parti

Software Engineer at CitiusTech

June 1, 2019 - July 1, 2020

Developed backend application features using Java (Spring Boot) with clean architecture and reusable service-layer components, improving system maintainability by 30% and enabling seamless integration with multiple application modules. Planned and integrated RESTful APIs to enable secure and efficient data exchange across internal systems, handling validation, error responses, and data formatting to maintain consistent communication standards. Worked with PostgreSQL to design relational data models, write streamlined SQL queries, and configure indexing strategies, resulting in 22% improvement in database query performance and faster application response times. Participated in Agile/Scrum ceremonies such as sprint planning, stand-ups, and code reviews; collaborated with cross-functional teams to clarify requirements and streamline development, reducing sprint rework by 15–20%. Performed unit testing with JUnit, managed source code using Git with GitHub/GitLab workflows, and supported