In this project, I am working through clapself for a small financial AI company, I completing a migration from AWS ECS to Google Kubernetes Engine. The platform consisted of a suite of microservices agents built on Llama 3 and Gemini. The platform's primary focus was to facilitate rapid and comprehensive strategic decisions regarding investments and risk management based on market trends and interest rates. It considered current interest rate fluctuations and hypothetical changes to guide investment decisions. The measurable end results were the following: 
- An 80% reduction in cloud services costs; 
- Greatly enhanced security via improved container orchestration & container hardening. 
- Improved secrets management. 
- CI/CD pipelines built for multiple environments including production
- Implementation of fast rollback and blue / green deployment. 
- Introduction of ArgoCD into the CI/CD pipeline. 
- Improved Telemetry for both the app and the Kubernetes cluster. 
- Enhanced monitoring of services using prometheus and grafana. 
- Regular use of penetration testing and automated security audits for significant attack surface reduction. 
The tools used in this project included GPT-4o, zsh, Terraform, Ansible, ArgoCD, Prometheus, Grafana, Python, Kubernetes, K9s, Amazon ECS, RabbitMQ, Google Kubernetes Engine. Google Cloud Shell, Warp Terminal

Create and update infrastructure code patterns as business needs evolve and additional cloud services become available. Act as subject matter expert on the process for an application team to complete IT Security and ITC assessments and what’s needed for a solution to be approved and implement. Establish a library of examples/blueprints/components of Terraform & Pulumi modules and/or Ansible Playbooks to standardized lifecycle management and accelerate deployment of cloud assets for Azure, GCP and AWS. Built, Documented and managed code review & PR process for all monitoring and infrastructure code written by team of 12. Leveraged AI ( CHATGPT 4.0 and Github Copilot X ) to develop infrastructure code, custom applications and dashboards. Tools: AWS, Google Cloud, Microsoft Azure Cloud, GitOps, Python3, Boto3, Flask, Django, Metaflow, Azure templates, ELK Stack, Grafana Vuejs, Next.js, D3, Kubernetes, Terraform, Terratest, GoLang, Gin/Gin-Gonic, HTMLx.

Building common heterogeneous CI/CD pipeline infrastructure for multiple Verita partner ventures. Built core machine learning tools for Verita project infrastructure. Curate and normalize all training data. Trained multiple models; Introduced concoctions and pooling to optimize learning efficiency. Started with linear prediction models, then image recognition models; Baked ML tools into deployment as an additional service. All CI/CD automated with Terraform. Tools: Bash, BATs, Jenkins, Javascript, Maven, Terraform, AWS, Azure, Docker, Ansible, Kubernetes & Kubeflow, GKE, NGINX, Serverspec, Tensorflow & Tensorflow.js. TestKitchen, Envoy, Istio, BigQuery, HA Proxy, GCP, Google Cloud Functions, gcloud, cloudshell, GIthub. Gerrit.

Built trailblazing demos showcasing advanced GCP and heterogeneous AWS/GCP functionality for high priority Google customers. Integrated demos into existing Customer infrastructure using Terraform and GKE/Kubernetes. All demos checked into GitLab Enterprise/gerrit with exhaustively documented tutorials and README files. Customers included : FitBit, Unity ( gaming engine ), Cruise ( self driving cars ). All CI/CD automated with Terraform. Demos built with NodeJs, Spring, Java, Python, Django, Flask. Tools: Bash, BATs, Jenkins, Javascript, Maven, Terraform, Docker, Kubernetes, GKE, NGINX, Serverspec, TestKitchen, Envoy, Istio, BigQuery, HA Proxy, GCP, Google Cloud Functions, gcloud, cloudshell, GIthub. Gerrit.

Installed configured and demo’d a Spinnaker POC deployed using containers on AWS ECS. POC was used to deploy, test, monitor and autoscale sample apps built with NodeJs, Spring, Java, Django. Tools: Bash, BATs, AWS ECS, Javascript, Maven, Terraform, Jenkins, Packer, Docker, Kubernetes, Artifactory, Nexus, Ansible, Serverspec, TestKitchen, JMeter, JUnit, Redis,Cassandra, Prometheus, Chaos Monkey.

Create automation to extend and innovate on microservices infrastructure supporting single sign on; user provisioning & de-provisioning; multi-factor authentication; security and permission management. Main focus was collecting big data from those systems and normalizing it in order to drive business decisions, and set up useful monitoring, alerting and chatOps. Tools: Bash, BATs, Javascript, Maven, Terraform, Jenkins, Packer, Docker Swarm, Kubernetes, Artifactory, Nexus, Ansible, Puppet, Serverspec, TestKitchen, Google Cloud Platform, Google Compute Engine, ELK Stack.

Assess Microservices Architecture readiness of existing core services for New York Life ( client ). Architect Automated Microservices & big data ETL PAAS based on best practices. Sell to client the following fundamental technology, culture, and process shifts: DevOps, Agile, Cloud Agnostic Microservices, Continuous Integration and Continuous Deployment. Pick toolchain based on requirements. Lead implementation team. Create strategy & roadmap for migrating bespoke services from existing monolith and on-prem architectures to shiny sexxy new PAAS with baked in logging, monitoring, testing, rollback, failover, autoscaling. Build polyglot MVP examples to guide internal dev teams responsible for 4000+ services; 2000 of which are brand new. Optimize, troubleshoot, refactor across the entire Devops/Microservices practice, and be a resident badass. Tools: Golang, Bash, Bats, Javascript, Java, Springboot, Meteor, NodeJs, Maven, Terraform, Jenkins, Hygeia Dashboard, uDeploy, Packer, Docker Swarm, Kubernetes, Artifactory, Nexus, SonarQube, Ansible, Puppet, Severspec, TestKitchen, JMeter, JUnit, AWS, Lambda, Azure, AWS Direct Connect, ELK Stack, Kafka, Redis, SumoLogic, Prometheus, Chaos Monkey, Fabric8, Spinnaker, Pivotal Cloud Foundry, Joy, Pain.

Analyze automated deploy process and create new more secure and efficient microservices oriented process and tools. Goals: 1. Streamline deployment, automated testing, scalability and logging. 2. Transfer of knowledge and devops process best practices to staff through process documentation and tools code. Tools used: AWS managed services; Terraform, Consul, Boto, awscli, Ansible, Jira, Confluence, Atlassian stash ( git ), Python, Bash, Packer, Docker swarm. Kafka, ELK Stack, Nodejs, Couchbase, MySQL, jq.

Leading the charge in a team of three engineers to migrate the 400 development teams at pearson.com to a cloud agnostic microservices architecture. First we are designing survey questions used to assessing the current state of each project.Next we catalog issues, concerns & roadblocks to be addressed in the process; then quantify survey data to calculate a migration score. Higher scores = easier to migrate. Lower scores = more difficult. Once sorted by difficulty, the list of apps and supporting data is presented to stakeholders in a Global Microservices Migration Readiness Assessment Report. This report drives the migration strategy, approach and schedule for both Senior Management and microservices implementation team. It is the master tool for defining next steps, backlog items, and implementation priority for each of the 400 dev teams.Finally I am creating a roadshow. I use the report data items to build tools and working examples of how to automate deployment; configure logging, monitoring, alerting, rollback, testing and autoscaling of monolithic apps in the new environment. Migrating to Microservices is projected to yield a cloud hosting average cost savings of 40%, Test coverage expected to increase by 60% on average. There are many other positively impacted KPI’s; ROI, and cost savings as well. Tools used: Stackstorm, Kubernetes, Docker, Ruby, Python, Golang, Ansible, Chef, Puppet, Javascript, Jenkins, ELK Stack, Kafka, Grafana, Consul, Appdynamics, MongoDB, Cassandra, AWS Managed Services, Google Compute Engine, Azure.

Operations Automation using Ansible, and CHEF for: Provisioning New laptops for incoming employees; Setting up SSO in Okta; Implementing Totally Centralized logging with ELKStack AWS & Docker; doing Big Data Analytics using SPARK. All my toys are running on AWS and Azure. Also building and managing a small team to speed things up once headcount budget is approved. Fun Fun Fun!!! :-). Tools Used: AWS, Bash, AWS S3, ELB, Ansible, Chef, OpsWorks, CloudFormation, Git, Bitbucket. Consul, Terraform, Kubernetes, Mesos, ELKStack, Jenkins, JIRA, Confluence.

I researched the Meteor javascript technology stack used to implement a solution for a new Daily Reader platform which is more interactive, multiplayer, social and engaging than the existing online reader. I am working on improved configuration and analytics for all aspects of the reader platform including content, games, maps, and text to speech. Tools Used: MeteorJS, Mongo. AWS, NAS, bash, AWS S3, Ansible, OpsWorks, CloudFormation, Git, Bitbucket.

We are a revolutionizing video commerce in Asia and beyond. Look out world!!! :-)

Resident Ringleader and Chief Communicator of remote and local development teams building Hybrid mobile app, Native mobile app, Tablet-based loyalty kiosk app, Backend CMS/Merchant Portal, Analytics & Reporting platforms. Referee; Peacemaker; voice of reason & clarity when business and engineering can't seem to see eye to eye. A hardcore Agile TDD/BDD process helps keep all this from spinning out of control. So I am a fan. Next I spend lots of time researching, exploring and vetting the processes, services and technology necessary to execute our blue water strategy successfully; so it is often necessary for me to code as well. My favorite tools at the moment are Ruby on Rails, Nodejs, Angularjs, and Meteor. Cross functional team collaboration is the glue at the core of all this; lucky for me I love people. I've been called a technology strategist by friends whose opinion I greatly respect. It is quite the apt description actually. I liked the sound of that one; so I am keeping it. :) Tools Used: AWS, Bash, AWS S3, ELB, Ansible, Chef, OpsWorks, CloudFormation, Git, SVN, Consul, Terraform, Kubernetes, Mesos, ELKStack, Jenkins, JIRA, Confluence, Python/Django, Lettuce, Selenium, Robotium.

CTO and Developer/Project Manager on a team of 6 developers in Hong Kong/Singapore to build a cutting edge SAAS product for matching hedge funds and institutional investors using our own patented counter-party matching and investment project management technology.

Boutique Web Consulting organization with clients in Singapore and Silicon Valley. ( Note: this is not the the American based GotIT Consulting listed on LinkedIn ).

Building a website, social network and web services platform for our investor relations principles and licensees. Designing automated continuous integration and production deployment process for all web products and services.Tools Used: AWS, Bash, AWS S3, ELB, Ansible, Chef, OpsWorks, CloudFormation, Git, Bitbucket, Joomla, NING. MySQL

Wagerworks.com is the premier vendor of online casino games worldwide. I was the primary configuration management engineer for key customer accounts including Virgin Casinos, MSN Casinos, Get Minted Casinos. All Casino games are developed in a J2EE environment using jikes compiler, Flash, XML, and XSLT.

Responsible for build, deploy and DevOps for all DHAP customers including toyota.com, scion.com and lexus.com

Scripted Perl, Python, Bash and javascript tools for internal process automation.

Implemented optimized and automated build/Test/Deploy cycle. Liaison between business side and development.

Lead team of 5 engineers doing automated and manual QA and load testing on Aria E-business analysis tool, which was a competitor to Accrue, Webtrends, and Net Perceptions. Test tools ran on Solaris, HP/UX, IRIX, and NT.