• Insolvent• Designed and implemented initial version of AI Chat Assistant using OpenAI ChatGPT (GPT-4) LLM, React, TypeScript, NextJS, Node and Redis to act as Software Engineer aid (https://boost.polyverse.com/)• Performed prompt engineering to iterate on AI Chat Assistant to move it towards performing the roles of a Software Architecture and Project Manager delivering more value to our customers• Designed and implemented lightweight project management tools that integrated with AI Chat Assistant to help it fulfill its role as a Project Manager• Worked to make our solution AI provider agnostic to avoid lock-in to any specific LLM• Designed solution to allow customers to rate/like responses from LLM for future fine-tuning• Maintained real-time context for LLM models for our product by feeding in relevant customer generated content/data• Working on devising a solution to build a vector-store that is bespoke to each customers code base and incorporate data generated by the LLM• Building REST API for headless agents to asynchronously drive customers work/software projects based on project specifications, requirements, and work items

• Laid Off• Initial senior engineer assigned to revitalize shelved telemetry project/service• Worked with Product Management to identify goals for deploying and short/longterm goals to focus on after deployment• Verified the interfacing of a new agent to our services and other expected UX• Co-developed scale/soak test framework to verify initial scalability requirements• Shared on-call duties to ensure our deployed services were functioning properly• Worked with junior engineers to grow and develop core competencies

• Developed REST based control plane used to manage the data inter connect in our HPC systems• Introduced LACP parity to allow our customers to migrate from static LAGs to dynamic LAGs• Established patterns for writing REST services based on past working knowledge of framework used to build control plane• Improved the scalability of our control plane to support the growing HPC systems of our customers• Worked to decouple monolith services to establish well-defined roles/responsibilities for services and reduce cognitive overhead• Helped maintain test beds to support continuous integration environment and allow developers to check out machines• Worked with customers to ensure smooth upgrades of new data interconnect and reduce downtime

• Analyzed architecture for structural decay and guided Engineering on how to modernize our software for cloud native environment• Worked to mature and remove technical/logistical friction from Engineering so that it could scale during a time of rapid growth• Worked many roles while leading efforts for software acceptance into Department of Defenses next gen Docker/k8s based cloud• Designed backend improvements to our threat and vulnerability management systems that would track classes/types dynamically loaded out of vulnerable libraries that our customers applications were consuming• Worked to improve the health diagnosis of our customers applications by correlating temporally different data collected on the application during the pre-deployment phase with the deployment phase of the applications SDLC• Guided Engineering to adopt Elastic search and Kafka as a more suitable solution for how we modeled and accessed our data• Worked with Product Management and Product Owners regularly early in their customer development process to provide feedback on technical feasibility/roadblocks as well as general effort/SWAGs required to complete proposed feature requests/initiatives• Worked many roles while bootstrapping new divison/product verticality focused on OSS in Northern Ireland

I'm currently involved in a new initiative to build F5's next generation public cloud offerings using Kubernetes, Docker, Terraform, Go - significant contributions thus far:• Extended k8s API with custom resource definitions and used k8s tooling to create a client API interface that consumed said custom resources• Created controller to provision infrastructure in AWS using Terraform for Pods without any Nodes suitable for placementI was also involved with building a distributed service architecture as well as building a cloud orchestration platform (BIG-IQ/iWorkflow) on top of said distributed service architecture - significant contributions include:• Method for which pub/sub communication takes place• Created generic extensibility point interfaces to allow customers to hook their own workflows into the workflows exposed on F5 products (BIG-IP/BIG-IQ/iWorkflow)• Orchestrated the discovery and cataloging of application/service templates for both cloud providers/admins and cloud tenants• Orchestrated the provisioning and configuration of virtual devices upon application deployment• Created generic cloud interface to allow implementers a way to discover, provision, and manage resources in cloud infrastructures - implemented for AWS (VPC & EC2) as well as OpenStack (Neutron & Nova)• Created generic application elasticity interface to orchestrate the provisioning/decommissioning of compute resources on demand for a deployed application - implemented for AWS (EC2)• Created OpenStack Neutron LBaaS plugin that interfaced with BIG-IQ/iWorkflow to allow customers to leverage the load balancing features of BIG-IP all through OpenStack’s interfaces (REST API, UI, CLI)• Exposed BIG-IP onboarding workflows to customers (provisioning, configuration, and management of BIG-IPs) so they could extend the onboarding workflow themselves• Contributed guides, code samples, and API documentation to SDK

Started Patchez as a side project so that I could invest in myself and grow my knowledge and skill sets with a focus on full stack development and lean development/customer discovery.Patchez is a service that aides people with gardening who live in an urban environment.While the minimum viable product (MVP) isn't yet complete/deployed I would be excited to engage you about Patchez. Whether you are interested in discussing opportunities, strategy, setting up code reviews/demonstrations of functionality thus far, or to talk in general, please feel free to reach out to me.While working on Patchez I designed/implemented an isomorphic/universal client application using JavaScript (ES6) and open source software - features include:• Transpiled and bundled client application using Babel and Webpack• UI crafted with React while using Google Material Design principles to guide the UX (implemented with Material-UI)• Integration with Google Maps service to provide geospatial/geocoding features to the UX• Declarative UI rendering based on clients navigation (i.e. URI routes) using React Router• Managed client application state with Redux• Integration with GraphQL based API endpoints using Apollo Client• State hydration for both React/Redux as well as Apollo Client to support the isomorphic/universal qualities of the client applicationI also designed/implemented a backend server to support the client application using JavaScript (ES6) and open source software - features include:• HTTP based request/response communication using NodeJS/Express• GraphQL based API endpoints• Basic user management and authentication layer using PassportJS and JSON Web Tokens (JWT)• Integration with the AWS NoSQL DB service DynamoDB• Full abstraction of the persistence/data layer using an object model with schema validations• Server-side rendering in support of the isomorphic/universal qualities of the client application

Worked in a structured software development environment using C# where my responsibility was to support the life-cycle of Logos Bible Software 4. Daily tasks included finding the cause of bugs and creating shippable solutions to those bugs as well implementing new features. During my time at Logos I was assigned the major task of implementing gestures based on user mouse movements. I successfully implemented gestures into Logos Bible Software 4 using these techniques:• Capture an undefined amount of points corresponding to a mouse movement from a user.• Transform the captured points into a defined amount of points.• Match the transformed points against a template which corresponded to a command.• Execute the command as well as provide a visual tip to the user for the executed command.