In my most recent role, I revamped the ASPEN system in New Mexico to optimize state service applications. Ensured seamless web application updates while leading QA and UAT tests. I made several key contributions including:• Optimized operational efficiency by enhancing CI/CD DevOps pipeline builds with Jenkins. • Steered efforts to improve batch processes and data objects to ensure high app performance. • Revitalized web app features for improved functionality and user experience. • Redesigned database structure to enhance data accuracy and boost search efficiency.• Enhanced codebase readability, resulting in a 40% reduction in development errors.• Accelerated project delivery timelines by 30%, leveraging efficient DevOps practices and automation tools.• Reduced rollback instances by 25% through strategic code deployment improvements.• Developed innovative web solutions, enhancing user satisfaction and operational flexibility.

Provided technical support in updating AT&T's lease management and payment systems through innovative auto-abstraction methods. I made several key contributions including:• Developed and implemented business layer functionality using Core Java, Spring Beans with Dependency Injection, and Spring Annotations. • Configured server-side session timeout using Spring Boot and introduced auto-logout features for enhanced security and user experience. • Created REST-based Microservices with Spring Boot to facilitate efficient data accumulation and reporting. • Collaborated with a team to refine database upload processes for contract information, ensuring accuracy and efficiency.• Pioneered RESTful service integration for data aggregation, enhancing report generation capabilities.• Revitalized AT&T's lease management system, improving system reliability and user satisfaction.• Developed a streamlined process for uploading contract information, significantly reducing data entry errors.• Enhanced security measures by implementing an auto-logout functionality, safeguarding user data.

Acquired comprehensive skills in Java, JavaScript, PostgreSQL, Maven, Spring, and GitHub for full-stack development roles. Developed proficiency in Java, leading to Java certification readiness. I made several key contributions including:• Collaborated on team projects, contributing to real-world Java and SQL applications. • Implemented client-side and server-side programming with HTML, XML, Servlets, JSP, JavaScript, and CSS. • Utilized Angular and jQuery for user interface enhancements, and Hibernate for database interactivity. • Configured Maven dependencies to streamline application build processes, generating Pom.xml files.• Streamlined build processes with Maven, significantly reducing project setup times.• Drove adoption of cutting-edge technologies, setting a new standard in development practices.• Enhanced code quality through meticulous review and refactoring, ensuring reliability.• Fostered team synergy in tackling complex programming challenges, and delivering solutions on time.• Gain experience needed working on team projects for real-world Java and SQL applications.

Developed machine learning algorithms with Python to extract patterns and generate essential keywords for an upcoming educational video platform. I made several key contributions including:• Conducted thorough research to enhance natural language processing and object recognition capabilities, contributing to the project's foundational technology.• Implemented machine learning models to categorize educational content, facilitating user navigation and content discoverability.• Spearheaded the development of object detection algorithms, enabling advanced video analysis features for the platform.• Synthesized insights from video scripts to inform algorithm development, ensuring accurate content tagging and improved search functionality.• Provided key research findings that shaped the direction of natural language processing efforts, optimizing the platform's user experience

Collected critical data on online education methodologies before and after the COVID-19 pandemic by leveraging web scraping techniques. I made several key contributions including:• Acquired proficiency in natural language processing using the Spacy library and image recognition using the Tensorflow library, both in Python.• Streamlined data collection processes, significantly reducing the time required to gather relevant information.• Developed a predictive model to forecast online education trends, enhancing strategic planning for post-pandemic learning.• Contributed to a collaborative project that identified key factors influencing the success of virtual classrooms.• Enhanced the accuracy of image recognition tasks in educational content, improving the user experience for online learners.

Compiled and analyzed data sets to provide insightful crime statistics utilizing Python, enhancing data transparency and informing strategic decisions. I made several key contributions including:• Delivered presentations to stakeholders, translating complex statistical concepts into comprehensible terms, and facilitating data-driven understanding. • Developed time-series analyses to track crime trends, enabling stakeholders to visualize and compare historical and current crime rates effectively. • Collaborated on initiatives to improve data transparency and accessibility, ensuring stakeholders have clear and actionable insights.• Presented statistical findings to non-technical audiences, ensuring clear comprehension of crime trends and data interpretation.• Streamlined data analysis processes, resulting in more efficient and accurate reporting of crime statistics.• Enhanced data visualization techniques, contributing to improved stakeholder engagement and understanding of crime rate fluctuations over time.• Advocated for and contributed to transparency improvements, leading to increased trust and reliability in statistical reporting.