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Click here or scroll down to respond to this candidate RICHARD DE GROOFFULL STACK DEVELOPER/ TECH LEADMobile: PHONE NUMBER AVAILABLE | Email: EMAIL AVAILABLE Website: https://customprogrammingservices.comGitHub: https://github.com/rdegroofStreet Address
AndroidDevProfile: https://play.google.com/store/apps/dev?id=7273898217874454435SUMMARY A results-oriented IT professional with over 9plus years of diverse experience in software development and technical leadership, possesses a robust ability to architect and implement scalable, high-performance solutions across a range of industries. Expertise in leading cross-functional teams to deliver complex projects while maintaining alignment with business objectives through Agile methodologies, ensuring timely and budget-conscious execution. Recognized for developing state-of-the-art machine learning and natural language processing (NLP) solutions that leverage advanced frameworks such as TensorFlow and PyTorch. Proficient in designing algorithms that drive real-time analytics and facilitate actionable insights from extensive datasets, significantly enhancing data-driven decision-making capabilities and fostering competitive advantages. Masterful in crafting highly interactive and responsive front-end applications using Angular and TypeScript, implementing reactive programming techniques and Material Design principles to elevate user experience (UX). Expertise in architecting robust RESTful APIs that streamline integration with third-party services, ensuring efficient data exchange and enhancing overall application performance. Extensive experience in configuring and optimizing cloud infrastructures on AWS, employing Terraform for Infrastructure as Code (IaC) and managing CI/CD workflows with tools like Jenkins and ArgoCD. Achieved substantial reductions in deployment times and operational costs while ensuring high availability, scalability, and security of enterprise applications, thereby enhancing overall system reliability. Showcased a deep understanding of data management practices, particularly in PostgreSQL and DynamoDB, to ensure high availability, scalability, and data integrity for mission-critical applications. Spearheaded rigorous security audits and implemented industry-leading practices for data encryption, access control, and identity management, ensuring compliance with stringent regulations such as GDPR and HIPAA. A strong advocate for continuous improvement, effectively leveraging feedback loops and methodologies like Kaizen to identify bottlenecks and enhance team dynamics. Specialized in performance tuning of serverless architectures and microservices, leading to significant operational efficiencies and elevated customer satisfaction levels. Co-author of influential publications in prestigious journals and international conferences, including the Journal of Electronic Commerce Research and the IEEE International Conference on Big Data. Research contributions focus on innovative data mining techniques, topic discovery methodologies, and advancements in machine learning, underscoring a commitment to furthering the frontiers of data science and contributing to academic discourse in the field.TECHNICAL SKILLSProgramming Languages:Java, SQL, PL/SQL, JavaScript, Python, Core Java, Python, JavaScript, TypeScript, Scala, RubyJ2EE Technologies:Servlets, JSP, Java Beans, JDBC, JSF 1.2/2.0, JNDI, EJB3, JMS, JMX, JPA, JAXB, JAX-WS, JAX-RS, JConsole, Jstack, VisualVM, JDBC, JUnitWeb Technologies:HTML, HTML5, XML, XHTML, CSS3, JSON, AJAX, XSD, SOAP, WSDL, ExtJS. Angular 15, Angular 16, ReactRDBMS/Databases:Oracle, MySQL, PostgreSQL, SQLServer, MongoDB (NoSQL), DynamoDBAWS:SWF, GPU Instances, EC2 Instance, S3, RDS, Lambda, ECS, DMS, Azure loginsFrameworks & Libraries:Spring 2.5/3.0/3.2, SpringBoot, Jersey Restful Web services, UML, PytestUI Frameworks & Libraries:JavaFX, ExtJS, JQuery, Angular JS, React JS, Prime Faces, Bootstrap, VueJSApplication Servers:WebLogic, IBM WebSphere, Apache TomcatBuild Tools and IDE s:Maven, Ant, IntelliJ, Eclipse, Spring Tool Suite, NetBeans and Jenkins, PCF, VSCodeIncident Management:Splunk, New Relic, PagerDutyInfrastructure as Code:Terraform, Ansible, Chef, DockerOperating Systems:Windows, UNIX, LinuxTools:UML, MS Visio, Maven, Gradle, Jenkins, Junit, Jira, CI/CD, Tableau, AWS Cloud, API Design, Maven, Jenkins, Gradle, JProfiler, JaCoCo, VisualVM, Eclipse MAT, SonarQube, OWASP ZAP, Postman, Confluence, Microsoft Teams, Zoom, Artifactory, Swagger, Postman, Apache Kafka, AzureVersion Control Tools:Git, GitHub, GitLabOperating Systems:Windows, UNIX, LinuxDOMAIN SKILLSFull Stack DevelopmentIT Infrastructure ManagementProject Coordination & DeliveryApplication Testing & SolutioningSoftware Development LifecycleIT Integration & EnhancementInfrastructure as Code (IaC)Process EnhancementCross-Functional CoordinationEXPERIENCE
Sr. Full Stack Developer, Tech Lead
Case Consulting August 23- May 24 Drove the architectural design and implementation of a cutting-edge text mining and natural language processing (NLP) service on Amazon Web Services (AWS), meticulously optimizing the system for high availability and fault tolerance, effectively managing dynamic data loads to ensure uninterrupted service delivery and peak operational efficiency in line with industry standards. Developed a state-of-the-art parallelized machine learning application utilizing AWS GPU instances, skillfully harnessing advanced libraries such as PyTorch and TensorFlow to dramatically enhance computational capabilities, enabling real-time analytics and delivering actionable insights from large-scale datasets to empower data-driven decision-making. Created highly responsive and seamless front-end applications using Angular 16 and TypeScript, employing reactive programming techniques and Material Design principles to elevate user interactions, significantly improve user experience (UX), and drive user satisfaction through intuitive, engaging interfaces. Fostered a robust Agile/Scrum culture within the development team, expertly facilitating sprint planning, backlog grooming, and retrospectives to ensure alignment with business objectives, boost team collaboration, and optimize workflow efficiency, resulting in accelerated delivery cycles and enhanced adaptability to market changes. Facilitated cross-platform compatibility by leveraging Progressive Web App (PWA) standards and responsive design methodologies in the Angular application, ensuring a cohesive user experience across diverse devices and browsers, thereby significantly expanding the application s reach and enhancing customer engagement metrics. Led comprehensive security audits and implemented stringent industry best practices for data encryption, access controls, and identity management within the application, ensuring compliance with regulations such as GDPR and HIPAA, while safeguarding sensitive user information against potential breaches and vulnerabilities. Conducted extensive performance tuning and optimization of AWS Lambda functions and serverless architectures, achieving substantial reductions in execution times and operational costs while maintaining exceptional responsiveness for microservices, thereby enhancing overall system efficiency and customer satisfaction. Championed initiatives for continuous improvement through structured retrospectives and Kaizen methodologies, effectively leveraging comprehensive feedback from team members to identify bottlenecks and implement actionable solutions that significantly enhanced team dynamics, collaboration, and project outcomes. Spearheaded the strategic migration of legacy systems to cloud-based architectures on AWS, meticulously planning and executing the transition to ensure minimal downtime while achieving substantial improvements in system performance, elasticity, and maintainability to meet evolving business demands and technological advancements. Architected a highly scalable microservices-based framework employing containerization technologies such as Docker and Kubernetes, enabling independent deployment and seamless scaling of individual components, which significantly increased development agility, reduced interdependencies, and improved fault isolation within the system architecture. Implemented advanced machine learning model monitoring and logging solutions using tools such as Prometheus, Grafana, and ELK Stack (Elasticsearch, Logstash, Kibana), meticulously tracking performance metrics, facilitating proactive adjustments, and ensuring optimal accuracy, reliability, and interpretability of models in production environments to meet compliance standards. Designed and implemented robust RESTful APIs adhering to industry standards, enabling seamless integration with third-party services and client applications, while ensuring scalability, security, and efficient data exchange through well-defined endpoints and comprehensive documentation for enhanced developer experience.Full Stack Developer, Tech Lead
The Bison Group November 22- August 23 Directed a high-performing team of developers in the maintenance and enhancement of multi-tiered text mining and language processing services hosted on AWS, ensuring optimal performance, scalability, and high availability to meet rapidly evolving business demands and user expectations. Architected and developed robust server-side functionality using Java and JUnit, enabling seamless integration with front-end components, and significantly enhancing system capabilities while adhering to microservices architecture principles, resulting in improved maintainability and performance. Engineered and maintained highly efficient Python code to support advanced machine learning models, leveraging libraries such as TensorFlow and Scikit-learn to enhance predictive accuracy and processing speed, ultimately driving better business insights and decision-making. Implemented dynamic and responsive front-end solutions utilizing the Angular 15 framework, leveraging advanced component architecture and state management techniques to create intuitive user interfaces that significantly improved user engagement and satisfaction. Configured and optimized AWS infrastructure using Terraform for infrastructure as code (IaC), ensuring consistent and repeatable deployment of cloud resources while implementing best practices for cost management, security, and resource utilization to maximize operational efficiency. Streamlined code deployments and CI/CD workflows utilizing Jenkins, ArgoCD, and Argo, enabling efficient release management, automated testing, and continuous delivery, thereby reducing deployment time by 40% and minimizing service interruptions. Collaborated with cross-functional teams to design, optimize, and maintain PostgreSQL databases, implementing sophisticated query strategies and advanced data models that significantly enhanced performance and ensured data integrity while supporting high transaction volumes. Integrated DynamoDB for NoSQL data storage solutions, ensuring rapid and scalable access to unstructured data while maintaining high availability, durability, and automatic scaling capabilities for fluctuating workloads, thus enhancing system responsiveness. Facilitated agile project management practices using Jira, promoting transparency and collaboration within the team while implementing iterative development processes that improved feature delivery timelines by 30% and ensured alignment with business objectives. Developed type-safe and scalable applications using TypeScript, enhancing code maintainability and reducing runtime errors through strict type checking, which resulted in improved developer productivity and code quality across the project.
Software Development Engineer IIAmazon June 21- October 22 Designed and maintained a sophisticated internal security system utilizing Amazon Web Services (AWS) to efficiently manage operating system upgrades and patches, ensuring seamless delivery to a vast and diverse customer base while maintaining high security standards. Spearheaded the implementation of a robust fault detection system leveraging Apache Kafka, enhancing real-time monitoring and management of routine cancellations, which significantly improved operational reliability and minimized service disruptions. Integrated an innovative firmware upgrade feature utilizing Docker containers, enabling streamlined deployment, efficient version control, and ensuring minimal downtime during critical updates for enhanced user experience. Collaborated with cross-functional security teams to enhance the internal system's security protocols through AWS Identity and Access Management (IAM), strengthening user authentication mechanisms and fortifying data protection against unauthorized access. Developed comprehensive logging and monitoring solutions with Amazon CloudWatch, enabling proactive identification and analysis of system anomalies, thereby facilitating swift resolution of issues and maintaining high availability. Employed Agile methodologies with Jira for dynamic project management, ensuring effective sprint planning and execution while promoting best practices in continuous integration and delivery (CI/CD) to accelerate software development cycles. Conducted rigorous testing and quality assurance using Selenium to automate functional testing processes, ensuring that new features adhered to stringent performance standards and delivered exceptional user satisfaction prior to deployment. Created and maintained extensive technical documentation and knowledge-sharing resources using Confluence, fostering cross-team collaboration and providing essential support for ongoing system maintenance, enhancements, and onboarding of new team members.Software Developer
Dulles Glass January 20- November 20 Diagnosed and resolved complex bugs, while implementing innovative new features for a web-based 3D modelling platform used by customers to design custom shower installations, enhancing overall interactivity and functionality. Developed dynamic and interactive front-end components using TypeScript, enabling users to visualize and manipulate 3D models, ensuring a highly responsive and user-friendly design experience. Engineered robust server-side functionalities in PHP and Java, optimizing business logic, data handling, and communication between the front-end and back-end to support real-time user interactions. Operated remotely and independently to implement software solutions from detailed specifications, demonstrating strong problem-solving skills and accountability for high-quality, on-time delivery. Designed and executed scalable, efficient queries in Amazon DynamoDB, significantly improving data retrieval times and ensuring the seamless handling of large datasets for user-driven 3D modelling activities. Managed and developed complex database table structures in DynamoDB to ensure optimized data storage and access, supporting high-traffic operations and maintaining system reliability at scale. Collaborated closely with cross-functional teams, integrating sophisticated front-end and back-end features to provide a cohesive, high-performance user experience across the platform. Leveraged AWS cloud services to enhance the performance, scalability, and security of the platform, ensuring robust server-side processes and optimizing resources to handle a growing user base and increasing data complexity.Software Developer
TraceLink July 15- October 17 Developed and integrated web services in Java/Scala using SOAP and HTTP/HTTPS protocols to securely interface with client pharmaceutical serial number management systems, ensuring seamless data exchange. Customized and optimized client-side plugins using Apache Axis for enhanced compatibility with existing systems, improving the efficiency of serial number management processes. Implemented scalable SSL certificate handling through Java Keystore (JKS) for secure communication channels, ensuring encrypted data transmission across distributed systems. Designed and implemented XSLT-based XML transformation solutions using Saxon for efficient data formatting and processing, facilitating better system interoperability. Applied scalability techniques with Apache Camel to optimize web service interactions, providing robust and efficient solutions for distributed systems integration. Collaborated with teams to configure and deploy Apache Tomcat for secure and scalable server-side processing, ensuring high availability and performance. Utilized Spring Boot frameworks to build RESTful services that enhanced connectivity options for clients with limited connection alternatives, ensuring robust and flexible integration capabilities. Automated the management of SOAP-based services with Mule ESB, streamlining client communication processes and enhancing system maintainability across various environments.Jr. Software Developer
General Dynamics March 15- July 15 Assisted in developing an application using Java and JavaFX, contributing to the creation of interactive GUIs with JXML and CSS for improved user experience. Contributed to designing and implementing a distributed system that ensured interoperability between existing applications and a new client-side interface. Supported the development of scalable solutions, allowing client-side instances to run independently from existing services, improving overall system flexibility. Participated in integrating JavaFX components to enhance the visual and functional aspects of the application s interface. Learned to work with distributed architectures, applying concepts that enabled smoother communication between various system components.Jr. Software Developer
Superior Coin-Op May 11- August 13 Assisted in implementing updates and enhancements to the customer data application by working on Java-based client-server architecture, ensuring centralized database access. Contributed to developing code for integrating Jasper Reports, enabling the generation of reports for existing and continuing customer records, while maintaining data accuracy. Supported the team in troubleshooting and resolving bugs or issues, helping improve the application s overall functionality and performance. Participated in testing and verifying the performance of the application, ensuring smooth local access and confirming proper data storage and retrieval operations. Learned to optimize the codebase by applying Java development best practices, improving the application s performance and maintainability.EDUCATIONM.S. in Computer Science - University of Massachusetts DartmouthB.S. in Computer Science - University of Massachusetts DartmouthB.S. in Criminal Justice - Roger Williams UniversityCERTIFICATIONSCompTIA A+Network+, Security+AWS Certified Developer Associate (DVA-C02)PUBLICATIONS 1. H. Xu, Y. Zhang, and R. DeGroof, "A Feature-Based Sentence Model for Evaluation of Similar Online Products, "Journal of Electronic Commerce Research (JECR), Vol. 19, No. 4, November 2018, pp. 320-335. 2. R. de Groof, H. Xu, J. Zhang, and R. Liu, "Mining Significant Terminologies in Online Social Media Using Parallelized LDA for the Promotion of Cultural Products," In Proceedings of the 14th International Conference on Data Science (ICDATA'18), Las Vegas, Nevada, USA, July 30 - August 2, 2018, pp. 3-9. 3. R. de Groof and H. Xu, "Automatic Topic Discovery of Online Hospital Reviews Using an Improved LDA with Variational Gibbs Sampling," In Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), BDTL 2017, Boston, MA, USA, December 11-14, 2017, pp. 3940-3947. 4. R. DeGroof and I. Valova, Genetically Supervised Self-Organizing Map for the Classification of Glass Samples, In Proceedings of the 13th International Conference on Machine Learning and Applications (ICMLA 2014), Detroit, USA, Dec 3-6, 2014.THESIS (MASTER S) Cloud Detection for Advanced Very High-Resolution Radiometer (AVHRR) Satellite Sea Surface Temperature (SST) Imagery Using a Multi-Layer Perceptron Neural Network : Existing methodologies of cloud detection and even state-of-the-art techniques focus on a statistical analysis of several images composing neighbouring regions. These may be augmented using static properties of cloud pixels associated with satellite imagery. The neural network is a learning mechanism that can map any continuous function to an arbitrary accuracy. Using training data, the neural network recognizes patterns which may then facilitate classification. Using this trained model, clouds can be detected in satellite imagery using a simple computation without prior knowledge of a region. |
