• Designed and implemented backend systems using Java, Spring, Spring Boot, Hibernate, and RESTful APIs, reducing data processing time by 25%.

• Built dynamic frontend applications using Angular, HTML, CSS, TypeScript, and Bootstrap, elevating user experience.

• Optimized MySQL databases, enhancing scalability by 60% with efficient schema designs, query optimization, and data-sharing techniques.

• Streamlined team collaboration using Git, GitHub, and CI/CD pipelines for version control and automated deployments.

• Conducted testing with JUnit, Mockito, and TestNG, cutting critical defects by 70%.

• Integrated third-party APIs and microservices to extend functionality and ensure seamless operations.

• Engineered a high-performing web platform with Spring, Spring Boot, and Angular frameworks, increasing user engagement by 30%.

• Established advanced data collection mechanisms, improving decision-making efficiency by 40%.

• Applied machine learning algorithms, leveraging Python libraries like Pandas, NumPy, and Scikit-learn, to analyze 100,000+ data points and achieve 90% predictive model accuracy.

• Enhanced application performance by 50% with 99.9% uptime reliability through extensive testing and optimization.

• Employed Docker for containerization and Kubernetes for deployment, ensuring scalability and efficient resource utilization.

Worked as a Research Assistant on a machine learning project to predict weather conditions using historical and real-time meteorological data.

Developed ML models in Python (Pandas, NumPy, Scikit-learn) for forecasting temperature, humidity, and rainfall patterns. Built backend REST APIs using Java Spring Boot and designed a web interface (HTML, CSS, JavaScript) to display live readings and prediction results.

Integrated data processing, model evaluation (MAE/RMSE), and visualization dashboards to enable real-time weather trend analysis.

• Optimized Java transcription app algorithms, boosting performance by 30%.

• Reduced deployment time by 40% by integrating AWS services, including Lambda, S3, DynamoDB, CloudFormation, and Elastic Beanstalk.

• Developed a Java microservices architecture with Spring Boot and Hibernate, improving system flexibility by 50%.

• Designed and implemented RESTful APIs with AWS API Gateway, reducing latency by 25%.

• Enhanced database query performance by 20% with Amazon RDS and DynamoDB integrations.

• Improved data accuracy by 15% through technical-business alignment strategies with data analysts.

• Reduced system downtime by 20% with proactive debugging and monitoring tools, including AWS CloudWatch and Splunk.

• Leveraged Jenkins for CI/CD pipelines to automate build, test, and deployment processes.