Technical Instructor @ AWS
tomutsey@yahoo.com
Technical Trainer Global
• Conducted training sessions in person and virtually to class sizes ranging from a few students to over a thousand on various technical subjects, including software development, architecting, and operations. • Developed and updated training materials, such as presentations, demonstrations, to ensure they aligned with current industry standards and best practices. • Coached and mentored trainees and newer trainers to help them acquire new skills and knowledge, and provided feedback on their progress. • Evaluated the effectiveness of training programs using metrics such as participant feedback, performance improvement, and business impact, and made recommendations for continuous improvement. • Managed training logistics, such as scheduling, registration, venue, equipment, and catering, to ensure a smooth and professional delivery. • Stayed up-to-date with emerging trends and technologies in the tech industry, and incorporated them into the training curriculum as appropriate.
RF Technologies - Specialist Remote
• Delivered technical and operational support and training for RF-generators to manufacturing companies worldwide, both remotely and on-site. • Resolved process bottlenecks and machine downtimes by troubleshooting complex issues related to RF-generators, using a combination of technical expertise and problem-solving skills. • Upgraded legacy control systems to programmable logic controllers (PLCs) to enhance functionality, reliability and efficiency. • Managed all aspects of licensing, billing, and accounts payable related to RF-generators, ensuring compliance with regulations and timely payment. • Maintained an inventory of parts and supplies for RF-generators, monitoring usage and reordering as needed to minimize downtime. • Collaborated with cross-functional teams, including sales, engineering, and customer service, to provide integrated solutions and exceed customer expectations. • Documented training materials and procedures, and provided feedback to improve their effectiveness and usability. • Kept up-to-date with industry trends and advancements in RF-generator technology, and shared knowledge with colleagues and clients to promote continuous improvement.
Endorsement, Full Stack Web Development
• Developed skills in coding, testing, peer programming, and debugging code through hands-on, fast-paced instruction. • Applied knowledge of algorithms, data structures, computer architecture, and system design to create successful projects. • Mentored a team of 7 members on coding fundamentals and time management, providing guidance and feedback to help them grow as developers. • Coached team members to become team leaders as they gained proficiency in project development and technical skills. • Participated in immersive leadership and project management training sessions, learning to inspire and guide others to success.
Bachelors in Information Technology - Programming, Information Technology - focus on programming
• Demonstrated a commitment to professionalism and academic excellence, earning Summa Cum Laude honors with a 3.92 GPA. • Developed proficiency in C# and Java programming languages using Microsoft Visual Studio and the NetBeans IDE. • Applied Agile project management principles to successfully complete group projects in all classes. • Maintained a high level of professionalism and accountability while attending classes remotely, achieving perfect daily compliance with attendance and coursework requirements. • Proactively identified opportunities for process improvement and worked collaboratively with team members to implement effective solutions. • Acted as a role model for professionalism and teamwork, supporting and mentoring fellow students to foster a positive and collaborative learning environment.
Earners of this badge passed the AWS Certified AI Practitioner exam by February 15, 2025 and are an Early Adopter of this certification.
Earners of this badge understand AI, ML, and generative AI concepts, methods, and strategies in general and on AWS. They can determine the correct types of AI/ML technologies to apply to specific use cases and know how to use AI, ML, and generative AI technologies responsibly. They are familiar with the AWS Global Infrastructure, core AWS services and use cases, AWS service pricing models, and the AWS shared responsibility model for security and compliance in the AWS Cloud.
Earners of this certification have an in-depth understanding of how to use AWS services to implement data pipelines and to monitor, troubleshoot, and optimize cost and performance issues in accordance with best practices. Badge owners have technical expertise to understand the effects of volume, variety, and velocity on data ingestion. They are familiar with transformation, modeling, security, governance, privacy, schema design, and optimal data store design.
Earners of this certification have an in-depth understanding of AWS machine learning (ML) services. They demonstrated ability to build, train, tune, and deploy ML models using the AWS Cloud. Badge owners can derive insight from AWS ML services using either pretrained models or custom models built from open-source frameworks.
Earners of this designation demonstrated a basic knowledge of Kubernetes and cloud-native technologies, including how to deploy an application using basic kubectl commands, the architecture of Kubernetes (containers, pods, nodes, clusters), understanding the cloud-native landscape and projects (storage, networking, GitOps, service mesh), and understanding the principles of cloud-native security.
Earners of this certification have an in-depth understanding of how to use AWS services for data collection, storage, processing, and visualization. They demonstrated the ability to leverage AWS analytics tools for deriving business value from data. Badge owners are able to leverage various AWS services to manipulate collections of data for organizations of all sizes.
Earners of the LFS250: Kubernetes and Cloud Native Essentials badge understand cloud native architecture and modern container orchestration systems and how they differ from legacy environments. They can explain the high-level architecture of Kubernetes and when to use the different objects to manage workload, networking or storage. They understand the concepts of cloud native observability and application delivery with CI/CD and GitOps tools and how they can interact with a Kubernetes cluster.
Earners of this certification have an extensive understanding of designing technical strategies to accomplish specific business goals. They demonstrated the ability to balance best practices and trade-offs based on business context. Badge owners are able to design solutions across multiple platforms and providers.
Earners of this certification have an extensive understanding of implementing continuous delivery systems and methodologies on the AWS Cloud. They demonstrated the ability to automate resilient applications and infrastructure deployments using AWS services. Badge owners are able to enforce policies, implement automated monitoring, and configure event management of an environment.
Earners of this badge are authorized to deliver at least four distinct AWS courses including one professional certification.
Earners of this certification have a comprehensive understanding of application life-cycle management. They demonstrated proficiency in writing applications with AWS service APIs, AWS CLI, and SDKs; using containers; and deploying with a CI/CD pipeline. Badge owners are able to develop, deploy, and debug cloud-based applications that follow AWS best practices.
Earners of this certification have a comprehensive understanding on how to deploy, manage, and operate IT systems on the AWS Cloud. They demonstrated the ability to migrate on-premises workloads to AWS and monitor, scale, and secure systems on the AWS platform. Badge owners are able to provide guidance on implementing best practices for cloud operations.
Earners of this certification have a comprehensive understanding of AWS services and technologies. They demonstrated the ability to build secure and robust solutions using architectural design principles based on customer requirements. Badge owners are able to strategically design well-architected distributed systems that are scalable, resilient, efficient, and fault-tolerant.
Earners of this certification have a fundamental understanding of IT services and their uses in the AWS Cloud. They demonstrated cloud fluency and foundational AWS knowledge. Badge owners are able to identify essential AWS services necessary to set up AWS-focused projects.