Full Stack Developer with 3+ years of experience in web application design and development of high-performance websites on Java, Spring Boot, React.js, and AWS cloud technologies. Experienced in creating Scalable micro services architecture, responsive user interfaces to increase functionality, performance, and user experience across the device.
Experienced in the realization of secure RESTful API, creation of real-time dashboards and front-end performance enhancement with React, Redux and Bootstrap. I am proficient in Backend Systems with Spring Frameworks like Spring REST and Spring Security, Spring Cloud and Spring Data JPA with good mastery of databases such as PostgreSQL, Oracle, MongoDB, and MySQL.
Evidence of delivering successful legacy apps modernization through shifting to cloud-native, microservice-based applications. Proven success in the integration of CI/CD pipelines, real-time monitoring, and automated testing with the help of Docker, Jenkins, JUnit, and Mockito and AWS services (Lambda, EC2, S3, RDS).
Team player with a good knowledge of Agile/Scrum principles, excellent problem-solving skills, flairs to produce solutions with innovative business value that are user-friendly.
Designed an interactive React.js frontend for a real-time patient control dashboard, streamlining the user interface between clinicians to quickly retrieve patient data that enhanced the decision-making process on primary care appointments at 25 percent faster.
Undertaken an HTML and CSS- based web design in an intuitive user-friendly interface with efficient navigation of the site, considering the needs of the healthcare providers. This has helped in making it easier and slashed learning curve of new users by 20%.
Applied responsive design solutions in the form of CSS media queries in order to make the dashboard device-independent, which influences the increase in mobile accessibility by 30%.
Designed a mesh architecture that leveraged Spring Boot and REST APIs to store and manage essential patients data such as medication history, vital signs, and lab results to promote an increased 30 percent care coordination rate.
Performed a thorough API testing by using Postman to confirm the efficiency and integrity of APIs which defined real-time updates, such as the risk of readmission and emergency room wait time, and increased overall API reliability by 25%.
Enhanced data storage services using Amazon RDS and DynamoDB would enable faster access to data by 25 percent, as compared to the previous system thereby providing clinicians with quick access to important patient data during the consultation process.
Directed the move to microservices architecture and enabled real-time monitoring of patient metrics such as the rates of hospital acquired infection and their readiness to discharge, and made the system 35 percent more scalable.
In React.js, implementation of code-splitting and lazy loading resulted in the streamlined frontend performance that produced a 20 percent decrease in initial load times, increasing user experience in accessing patient data.
Managed to leverage such CSS frameworks as Bootstrap to both speed up the process and maintain the styling consistency throughout the application, which boosted the overall development rate by 15%.
Integrated Node.js on the server side to render the dashboard elements, which helped to enhance performance and SEO and resulted in a 15 percent increase in page load speed experienced by users.
Instituted stringent configuration management and version control policies with Git, such that all changes made to data management systems were 100% traceable, thereby greatly decreasing instances of data inconsistencies when merging codes, and reducing conflicts by 15%.
Identified AWS App Runner and AWS Lambda as the backend capabilities of the real-time patient monitoring system,
cutting down the time it takes to expose patient vitals by a quarter, which would lead to quick addressing of emergency needs of the patients and to increasing the productivity of care in general.
Languages: HTML, CSS, Javascript, Java, SQL
Frameworks/Libraries: Spring Boot, Spring MVC, Hibernate, React, React Redux, OAuth 20
Spring Frameworks: Spring REST, Spring Web, Spring Cloud, Spring Batch, Spring Security, Spring Data JPA
J2EE Technologies: Servlets, JSP, JPA, JSTL, JDBC, Microservices
Cloud: AWS (EC2, Lambda, RDS, S3, Beanstalk, DynamoDB, IAM)
Methodologies: SDLC, Agile/Scrum, Waterfall Database: Oracle, PostgreSQL, MongoDB
Tools: Docker, Jenkins, JIRA, Postman, Git, GitHub, Junit, Postman, Mockito