Building things that make it easy to use Lightstep Observability.

Focused on integration and automation workflows for a leading observability product within a Fortune 500 software company. The core tools used in this role are Kubernetes, Go, Google Cloud Platform, and Terraform.

Building platform for location and transportation based insights at https://gridwise.io/.

Responsible for - code to automate internal infrastructure via HTTP APIs using Python, - web service development in Python (FastAPI),- user interface with Vue

Projects included ...- global stock exchange deployment in AWS- stock trade automation applications deployed in Google Cloud- a cryptocurrency trading automation application deployed in AWSTools used ...- Python, Terraform, Packer, Docker, AWS Elastic BeanstalkMy current toolchain is...- Terraform to manage cloud infrastructure stacks.- Packer to build images (EC2 AMIs and Docker containers).- My goto script tool is Bash, but I'm trying to centralize on Ansible for portability and maintainability.- My main high-level general purpose language is Go, but I'm more of a reader/maintainer.- I'll break out a Jupyter notebook for analytics work.Get in touch if...- you want to launch a web app in the cloud,- you want to migrate to serverless alternatives to save money or increase productivity,- you want to increase your productivity by managing your infrastructure as code.

 Utilized Python analytics for financial product market development strategy Successfully migrated trading operations to new systems and policy frameworks

We implemented a suite of investing microservices in Go deploying on Kubernetes in Google Cloud. We faced incredible resource constraints, worked hard, and succeeded in building an impactful financial services product. I worked end-to-end to understand integration requirements with vendors, design APIs for our apps to consume, and deploy as well as operate web services.

 Designed & implemented new trading algorithms to trade the firm’s capital Researched with Python (NumPy & Pandas), to identify high-frequency trading opportunities

 Contacted 60 clients on a regular basis with investment accounts totaling over $400 million Designed a custom portfolio for a $150 million account in Excel and VBA

Created reports, dashboards, and decision tools to manage investment relationships from $10 million to $ billions.

Conducted performance evaluation, portfolio reporting, and portfolio analysis. This role also included operational duties involved in the formation of a Registered Investment Advisor.