Java Developer Machine Learning

Goutham Kumar Reddy Kaluvakolu

Full Stack Java Developer

Email : ***********@*****.*** Phone : 682-***-**** USA www.linkedin.com/in/gouthamasoftware-engineer/

SUMMARY

•Seasoned Full Stack Java Developer with 3+ years of experience architecting and implementing enterprise-scale applications utilizing Java, Spring Boot, and modern JavaScript frameworks, resulting in comprehensive solutions that achieved 40% performance improvements through optimized code architecture and efficient resource utilization

•Successfully designed and implemented cutting-edge AI-powered microservices architecture using Spring Boot and Docker, incorporating advanced containerization strategies and automated scaling mechanisms that improved system scalability by 30% while reducing deployment cycles by 45%

•Pioneered the development and implementation of sophisticated machine learning integration pipelines that automated complex data processing workflows, resulting in a 75% reduction in manual processing time while maintaining 99.9% accuracy through robust error handling and validation mechanisms

•Demonstrated exceptional expertise in cloud-native development by successfully architecting and executing the migration of 5 monolithic applications to microservices architecture on AWS and Azure, implementing best practices for security, scalability, and high availability

•Led the end-to-end implementation of automated CI/CD pipelines incorporating advanced testing strategies and quality gates, resulting in an 85% reduction in deployment time and 40% improvement in release reliability through systematic error detection and automated rollback mechanisms

•Established and maintained a 95% critical issue resolution rate within SLA by implementing comprehensive proactive monitoring systems and AI-driven anomaly detection, enabling early problem identification and automated incident response

•Distinguished technical leader in cross-functional teams, driving a 25% improvement in team productivity through structured knowledge sharing programs, technical mentoring initiatives, and the implementation of best practices for code quality and development efficiency

SKILLS & INTERESTS

•Programming Languages: Java (Spring Boot, Hibernate), JavaScript (Angular, React, Node.js), Python (TensorFlow, PyTorch), SQL, HTML5, CSS3

•Database Technologies: MySQL, PostgreSQL, MongoDB, Oracle Database

•Web Technologies: RESTful APIs, Microservices, Docker, Jenkins, AWS Lambda, Azure Functions

•AI/ML Technologies: Machine Learning, Natural Language Processing, TensorFlow, Keras, scikit-learn

•Cloud Computing: AWS, Azure, Google Cloud Platform

•Development Tools: IntelliJ IDEA, Eclipse, Visual Studio Code, Jupyter Notebooks

•Project Management: Agile, Scrum, Kanban, SDLC

•Testing: JUnit, Selenium, Jasmine, Postman

•Version Control: Git, GitHub, Bitbucket

•Build Tools: Maven, Gradle

•Other Skills: MLOps, DataOps, CI/CD, Unit Testing

•Operating System: MacOS, Windows, Linux

RELEVANT WORK EXPERIENCE

Molina Healthcare Texas, USA

Full stack java Developer Sep 2023 – Current

•Spearheaded the design and implementation of an innovative AI-powered patient management system, incorporating machine learning algorithms for predictive analytics and automated decision support, resulting in a 60% reduction in data retrieval time and 40% improvement in diagnostic accuracy through intelligent data processing and real-time analysis

•Architected and deployed a sophisticated microservices infrastructure using Spring Boot and Docker, implementing advanced service mesh patterns and automated scaling policies, which led to a 30% improvement in application scalability and 75% reduction in deployment cycles through optimized resource utilization

•Developed and implemented a comprehensive predictive analytics module utilizing TensorFlow and Spring Boot, incorporating advanced machine learning models and automated feature engineering pipelines, achieving 85% accuracy in patient readmission risk assessment through sophisticated data analysis and pattern recognition

•Engineered and implemented robust automated load balancing and scaling solutions with sophisticated health checking and failover mechanisms, maintaining 99.9% uptime for applications processing over 1 million daily requests through intelligent resource allocation and proactive system monitoring

•Designed and developed responsive user interfaces with Angular, integrating AI-driven user behavior analytics and advanced visualization components, resulting in a 45% improvement in user experience through intelligent interface adaptation and personalized user journeys

•Established comprehensive MLOps practices for continuous model training and deployment, implementing automated model validation, versioning, and monitoring systems, reducing model update time from days to hours while ensuring consistent model performance and reliability

•Orchestrated the implementation of an AI-powered claims processing system, incorporating natural language processing and automated validation rules, reducing manual review time by 70% through intelligent document processing and automated decision-making

•Engineered real-time monitoring dashboards using React and D3.js, implementing advanced data visualization techniques and real-time analytics, providing comprehensive 360-degree visibility into system performance through interactive and intuitive interfaces

C-Edge Technologies INDIA

Java Developer July 2020 – Jun 2022

•Architected and implemented a sophisticated AI-based fraud detection system utilizing Java and advanced machine learning algorithms, incorporating real-time transaction analysis and pattern recognition, preventing over $2M in fraudulent transactions annually with 95% accuracy through intelligent risk assessment

•Engineered and optimized high-performance RESTful APIs serving 500,000+ daily users, implementing advanced caching strategies and connection pooling mechanisms, achieving a 45% reduction in response time through sophisticated performance optimization techniques

•Developed an automated transaction classification system leveraging natural language processing and machine learning, implementing sophisticated text analysis and pattern matching algorithms, achieving 90% accuracy and reducing manual categorization effort by 75%

•Designed and implemented real-time anomaly detection using advanced machine learning models, incorporating automated pattern recognition and adaptive thresholding, reducing false positive alerts by 60% through intelligent alert filtering and prioritization

•Created an intelligent chatbot system utilizing natural language processing and machine learning, implementing context-aware dialogue management and intent recognition, successfully handling 40% of routine customer queries through automated response generation

•Executed comprehensive database performance optimization through intelligent indexing strategies and query optimization techniques, implementing sophisticated caching mechanisms and connection pooling, reducing data retrieval time by 35%

•Led the implementation of automated testing frameworks incorporating continuous integration practices, implementing comprehensive test coverage analysis and automated regression testing, increasing code coverage to 85% and reducing post-release issues by 30%

EDUCATION

Master’s in computer and information systems University of Texas at Arlington, Texas

Bachelor’s in computer science and engineering Lovely Professional University, INDIA

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