Machine Learning Spring Boot

LOKESH C

Add: Baltimore, MD, Tel: +1-443-***-**** Email: ***********@*****.*** LinkedIn

PROFESSIONAL SUMMARY

About 4 years of experience in Java Full Stack development, specializing in designing and maintaining high-quality software applications.

Proficient in Java (Core, J2EE), Spring Boot, Hibernate, and RESTful APIs for building efficient backend systems.

Experienced with front-end technologies such as React.js, Angular, and JavaScript to create dynamic and responsive user interfaces.

Skilled in AI implementation, integrating machine learning models into Java applications for predictive analytics and decision-making.

Expertise in working with relational databases (MySQL, PostgreSQL) and NoSQL databases (MongoDB) to ensure optimal data management.

Proficient in CI/CD tools like Jenkins and GitHub Actions, automating build, test, and deployment processes for efficient software delivery.

Experienced in deploying applications on AWS (EC2, S3, Lambda), ensuring scalable and cost-effective cloud solutions.

Strong knowledge of Agile methodologies, Git, Docker, and monitoring tools like Prometheus and Grafana for optimized performance and collaboration.

TECHNICAL SKILLS

Programming Languages: Java (Core, J2EE), SQL, JavaScript, TypeScript, HTML5, CSS3

Front-End Technologies: React, Angular, Bootstrap

Java Technologies: Core Java, Collections, Exception Handling, JDBC, Servlet API, JSP, Spring Boot, Hibernate, REST API, Microservices

Web Services: RESTful APIs, SOAP

Back-End Development: Spring Boot, Hibernate, Microservices

AI & Machine Learning: Integration of machine learning models into Java applications for predictive analytics and intelligent decision- making

Application Servers: Apache Tomcat, JBoss

Databases: MySQL, PostgreSQL, MongoDB

Scripting & Database Scripting: Bash/Shell, YAML, JSON, PL/SQL

Version Control & Build Tools: Maven, Git, GitHub

CI/CD Tools: Jenkins, GitHub Actions

Cloud & DevOps: AWS (EC2, S3, RDS, Lambda, CloudFormation), Docker

Containerization: Docker

Monitoring & Logging: Prometheus, Grafana

IDEs & Editors: Eclipse, Visual Studio Code

Project Management & Collaboration Tools: JIRA, Confluence

PROFESSIONAL EXPERIENCE

Ameri Source INC Jan 2024 to Current

Software Developer / Java Full Stack

Spearheaded the development of backend services using Java, Spring Boot, and Hibernate, ensuring 99% uptime for mission-critical systems.

Designed and implemented 10+ RESTful APIs, accelerating feature delivery and reducing integration time by 30%.

Enhanced front-end performance with React.js, optimizing the codebase and reducing page rendering time by 20%.

Integrated machine learning models into Java applications, driving 15% improvement in business analytics and enabling intelligent decision-making.

Implemented AI-driven predictive analytics to optimize user experience and enhance recommendation systems, leading to a 10% increase in user engagement.

Optimized NoSQL and MySQL databases, increasing query efficiency by 25% and improving data retrieval speeds for high-traffic features.

Led Agile Scrum ceremonies, contributing to 15% faster product releases by fostering collaboration and ensuring timely feedback.

Built and maintained CI/CD pipelines using Jenkins, resulting in a 40% reduction in manual deployment errors.

Designed and deployed scalable cloud infrastructure on AWS EC2 and Lambda, boosting system performance by 30%.

Collaborated with product owners and designers to define and deliver solutions, leading to 15% more efficient feature deployment.

Optimized real-time data processing by integrating Kafka, improving messaging efficiency by 35% and streamlining data flows.

YNR Infotech Feb 2020 to Jul 2022

Software Developer / Java Full Stack

Designed and launched Java-based backend services using Spring Boot and Hibernate, reducing service latency by 20%.

Developed and optimized 30+ RESTful APIs, enabling seamless integration with front-end and external systems, enhancing user experience by 25%.

Integrated machine learning algorithms to enhance data processing and predictive capabilities, improving backend system efficiency.

Managed MySQL and MongoDB databases, optimizing queries and reducing database retrieval times by 30%.

Led the creation of unit tests with JUnit and Mockito, increasing code coverage to 85% and improving software reliability.

Integrated Kafka with Java Full Stack applications, improving real-time data streaming efficiency by 30% and enhancing messaging throughput.

Participated in Agile sprints, delivering 5+ features per sprint, ensuring timely and high-quality product releases.

Spearheaded the implementation of CI/CD pipelines using Jenkins, reducing deployment time by 50%. Implemented AI-based recommendation algorithms that personalized user interactions, resulting in a 15% increase in customer retention.

Deployed applications using AWS EC2, S3, and Lambda, reducing infrastructure costs by 15% while maintaining scalability.

Mentored 3+ junior developers, conducting regular code reviews and enhancing overall team coding standards and output.

EDUCATION

Master of Science in Data Science – GPA: 3.71 University of Maryland Baltimore County, Baltimore, MD

B.Tech in Computer Science – GPA: 7.90 Lovely Professional University

CERTIFICATIONS

Blockchain Basics – Coursera

Introduction to Cloud Computing – Cloud Guru

Linux+ Certification – CompTIA

Data Science – Internshala

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