Innovative Pre-Sales Solutions Architect specializing in Kubernetes-based messaging streaming platforms. Proven expertise in designing and demonstrating scalable, cloud-native solutions that leverage containerized architectures. Skilled in architecting high-performance, fault-tolerant streaming systems using Kubernetes for orchestration and management. Proficient in explaining complex technical concepts, showcasing platform benefits, and aligning solutions with client business objectives. Experience in conducting workshops, proof-of-concepts, and technical deep-dives to drive customer adoption. Strong background in microservices, event-driven architectures, and distributed systems. Adept at collaborating with sales teams to identify opportunities, overcome technical objections, and close deals. Passionate about staying current with cloud-native technologies and continuously enhancing platform capabilities to meet evolving market demands.

I am responsible for positioning, and guiding, Weaveworks Kubernetes solutions, our GitOps approach, and methodologies to new and existing customers. I manage all stages of the pre-sales' engagement, from discovery, qualify business alignment and technical fit between customer requirements, creating, updating and presenting technical demonstrations as well as establishing innovative technical programs (such as workshops and center of excellence). As a member of the Customer Experience team, I am also involved with the technical description and definition of the core Weaveworks GitOps commercial products. This includes full testing for new features, installation, and testing in production environments for each release of the components that make up the Weaveworks commercial offerings. Lastly, I provide assistance with seminars, blog posts, and articles on thought leadership in GitOps.

As a part of the MapR Field Engineering team, I was one of the direct liaisons between MapR engineering and field sales engineering. In this role, I was providing customer and field experience with MapR to engineering, as well as reviewing new product features and direction. This included reviewing, testing, and building MapR solutions for the newer AI and machine learning toolsets, building MapR based systems for orchestration tools like Kubernetes and Docker, and creating training tools and example developer projects for use by customers and field sales engineering.The Field Engineering team was directly involved in many large scale, complex customer and prospect deployments of MapR. This team was utilized worldwide to provide deep technical knowledge and assist in architecting MapR at scale, and integrating MapR in the customer or prospect's current technological environment. In this role, I worked with many of MapR's large customers throughout the US and Europe. The Field Engineering team was also responsible for training the field sales engineering teams, and providing technical tools to demonstrate MapR. The team built out systems with the most current MapR technologies that were used as proof of concepts for customers, and used by the sales engineers for training and demonstrations.In this role, I was also presenting and speaking at data conferences on many topics that covered implementing solutions at scale. - Provided direct technical support to the worldwide systems engineering team (60+ SEs) - Part of the engineering design and review team for all MapR products - Advisor on testing, POCs, and performance worldwide. Specific customers in Germany. Denmark, the UK, and the US across many industries - Designed and deployed the 30 node SE demonstration cluster based on MapR & Kubernetes - Presented at four Strata Data Conferences (NY, London, SF)

Supporting the worldwide MapR System Engineering team with deeper technical knowledge of MapR technologies, as well as Hadoop ecosystem components such as Spark. I also support the MapR System Engineering team with deployment scenarios that include Mesos, Docker, and other data center converged platforms.

Provided pre- and post-sales support for the MapR Hadoop Distribution in the New York area.

Umami is a early start up that has provided a consumer facing IOS app and the backend infrastructure to service the application. I was focused on hardening the backend infrastructure, and implementing monitoring. The back end systems are both hardware, data center based and cloud based utilizing Amazon EC2, RDS, and EBL services.Umami is using Zenoss as the monitoring core system. In order to adequately monitor the custom software and hardware used in the back end system, I programmed and implemented Perl scripts to send alerts and information directly to Zenoss when abnormal conditions occurred. I also implemented xinetd based scripts to allow Zenoss to poll these services, verify nominal operations, and gather statistics. These techniques are used on the cloud based systems as well.

Spiral is a small start up company providing school administration software as a service. The product and development environment use Google Web Toolkit for the “client” and Java servlets (customized GWT RPC servlets) for the service layer. The persistent data store is currently PostgreSQL.Mapped physical network. Changed internal switches to provide redundancy for all network ports using spanning tree protocol and multiple physical network paths. Moved production servers from CentOS 5 to Ubuntu server 10.04LTS Installed virtual servers (KVM) to handle internal systems. Installed and configured Hudson (continuous build) and Jira (issue tracking) Installed, configured, and populated OpenLDAP + RADIUS to provide internal authentication Created a secure APT repository for all production software. Created Unix (bash) scripts to build production packages and modified ANT build scripts for allow for DEB packaging. Installed and configured private VPN between development office and production networks (Vyatta) Installed and configured VPN for road warriors using PPTP, LDAP, Radius Moved the production data center from NY to Westchester County

I returned to supporting Netscape's and Sun's messaging, and instant messaging technologies. In supporting these large customers, I gathered information, diagnosed the customer's issue, and provided or engaged the development engineers to resolve the problem. I was assigned to specific customers with large or complex problems involving several interrelated issues, provided top level issue management, and problem resolution.Source code level diagnosis and resolution of customer issues for Sun's messaging and instant messaging productsAssigned to specific large (Fortune 500) customers to provide high level technical support, issue resolution management, and customer managementOne of two primary advanced support engineers for Sun's instant messaging (XMPP) client and server product

In this role, I not only provided standard technical support for the Sun web server and associated products (servlets, JSP), but also was tasked with specific customer issues and resolutions. In all cases, these customers had complex web services environments integrating several Sun products (application server, LDAP, proxies, load balancing) that required a broad knowledge of the customer's business and the technologies they have deployed.Implemented a total solution support process for General Electric which became a standard support offering for SunProviding priority support case resolution for high visibility web sites (CNN. MLB.com) on an emergency basisDesigned and programmed real time alerting tools for the instant messaging network accessing LDAP and JMQ. These tools allowed instant messaging users to check support case status, receive real-time alerts for high priority cases, and provided access (from instant messaging) to support case information and knowledge basesA part of the design team for Sun's Java Monitoring Framework. This allows real-time monitoring of all Sun internet technologies (web, messaging, LDAP) in real time

At Sun, I continued to support Netscape's large scale customers who are using Java, messaging, and web service technologies. This required me to be thorough in the information gathering, concise in the problem description, and persistent in the follow through. In supporting these large customers, I had frequent contact with both the customer's technical teams and Sun's development engineers. My position also required me to work with colleagues from differing levels of technical expertise and customers from many countries.Source code level diagnosis and resolution of customer issues for Sun's web server including Java web technologies (servlets, JSP, Sun/Netscape web server)Designed, implemented and maintained a worldwide instant messaging network for 1,500 internal Sun employeesProvided all third level support for Netscape's messaging server products. I also trained engineers as third level support personnel for these productsI was instrumental in high priority support cases for several Fortune 500 customers (Comcast, Bank of America, Telstra, General Electric)

I was assigned as the Enterprise Support Account Manager for General Electric worldwide. Prior to my responsibility for General Electric, I was responsible for the support, strategy, and planning for twenty large Netscape clients in several different industry groups.