Duke Energy

DevTeam Lead and XP Coach to a self-organized, cross-functional dev team, while assisting both the product owner and DevTeam with personas, story writing, task identification, CI/CD, vision alignment, and general agility. Focused efforts on building team specific continuous planning during [Pre-]Planning Ceremonies, fixed & war-room Tech Groomings for time-boxed, predictable velocity sprints.

Achievement Highlights:

• Lead development efforts in creating the enterprise solution for real-time machine learning model deployments, through tech groomings, war-room planning, and incremental builds.

• Cooperatively designed and built Duke Energy Innovation’s highest yielding product, the Work Order Optimization & Prioritization (WOPr) management system, built on top of Maximo Asset Management with dependencies requiring a project specific Scrum-of-Scrums environment

• Managed inter-product dependencies not requiring a scrum-of-scrum or meta-scrum planning by placing software team leads in other product team’s daily standup and in planning ceremonies as a visitor.

AccuWeather D3 (Data Driven Decisions)

Preprocessed historical weather data and built consumer facing website for our client AccuWeather’s D3 Express product.Developed using theASP.NET framework,Python, JavaScript, and Azure.

Achievement Highlights:

• Worked under a pseudo-ScrumBan pattern for Company specific project management, allowing the AccuWeather project changes to take priority without sacrifice to the in-house proprietary product.
• Discovered limitations when using Python to extract large, ~20GB, compressed file from Azure Block Blob Storage. Each file expanded to ~85GB, and the entire process consumed over a petabyte of data in a 4 month running/changing process.

DeltaBravo.ai

Developed Company’s front-end framework with Ember.js middleware in Revel/Golang connected to an InfluxDB backend, with forecasting service built with flask/Python. Performed time series forecasting on 125 database metrics.

Achievement Highlights:

• Worked under a pseudo-ScrumBan pattern for Company specific project management, allowing the AccuWeather project changes to take priority without sacrifice to the in-house proprietary product.
• Discovered limitations when using Python to extract large, ~20GB, compressed file from Azure Block Blob Storage. Each file expanded to ~85GB, and the entire process consumed over a petabyte of data in a 4 month running/changing process.

Rugs.com

Expanded Company’s eCommerce platform working with ReactJS/Redux accompanied by Python flask microservices with feature driven deployment cycles. Optimized site to allow the 12 domains in 7 languages with 25,000 daily visitors to have internationalized sales utilizing Contentful and Phraseapp with nearly $50m in yearly revenue.

Achievement Highlights:

• Acted as a servant leader in facilitating the scrum ceremonies (Daily Scrum, Sprint-Planning, Sprint Review/Demo, Retro).

• Collaborate closely with graphic design team to create fast, functional, attractive interfaces, approved by the product owners.

• Reduced shopping cart abandonment rate by 15% overall on international domains.
  Lesson Learned:​ Iterative and incremental development