Work Experience

Highlights from roles, impact, and technologies used.

  • Architected an auto-scaling microservice test app emulating 2,000+ concurrent devices, accelerating test case execution by 500%.
  • Redesigned a scalable data processing and alerting application for Cardio ECG data, supporting thousands of users with Kubernetes autoscaling.
  • Designed and developed 5+ reusable Python packages for Authentication, GraphQL, Application Configuration, and Logging used company-wide to standardize development.
  • Led creation of automated test pipelines in Azure DevOps, reducing deployed error rate by significantly through continuous integration
  • Pioneered policy changes in the team to match industry standards and improve code quality.
  • Spearheaded new features and system improvements with adjacent teams.
  • Documented the features, capabilities, and security concerns of multiple applications for submission to the FDA.

Technologies:
REST APIs Flask SQLAlchemy Azure DevOps (ADO) Shell Scripting PostgreSQL Docker Django Azure Cloud Linux CI/CD Pipelines Python

  • Contributed to a low-latency messaging application that could interface with both Gmail and Slack in near-real-time.
  • Remodeled a Slack message parser for efficiency. Afterward, it could convert over 100,000 msg/minute between slack MKD and HTML.
  • Designed and built email response forms based on customer success Xi principles.
  • Created a Slack GitLab bot to notify team members of actions needed on Merge Requests, reducing response time by 15 minutes per action, on average.
  • Ran planning poker and backend team meetings.
  • Managed JIRA for the team and provided admin assistance to other teams.
  • Participated in feature ideation meetings with the Product team to provide a technical perspective and suggest ways to optimize development effort.

Technologies:
REST APIs Flask SQLAlchemy JIRA PostgreSQL Docker GitLab Django Linux Google Cloud Platform (GCP) Python

  • Revised and expended server stress and diagnostic tests for assessing stability and performance of enterprise-grade servers.
  • Built CI/CD Pipelines to automatically build an OS image in Azure DevOps with automatic build and deploy triggers.
  • Built a light-weight custom Linux image using Buildroot that could be used as a PXE-booted, RAM-FS capable OS.
  • Mentored fellow team members

Technologies:
Flask Azure DevOps (ADO) Shell Scripting Azure Cloud Linux CI/CD Pipelines Python

  • Determine design choices and technical standards for the team
  • Create software tailored to a client's specific needs
  • Develop software systems and applications
  • Oversee, plan, and drive team development

Technologies:
REST APIs Jenkins JIRA MongoDB Docker Django Python

Assignment Objective: Add Python 3 compatibility to the gsutil application gsutil is an opensource project by Google. For more information, see the github link:
gsutil on GitHub

Technologies:
Shell Scripting Google Cloud Platform (GCP) Linux Python

  • Designed and built the automated testing system that included live web reporting, test verification, and a flexible framework to allow for rapid expansion into different areas of AT&T's network
  • Built a web interface using Django framework to display logs and allow tests to be started and monitored
  • Created a series of python packages to communicate with AT&T testing infrastructure

Technologies:
REST APIs Python Linux MongoDB

  • Designed frontend and backend user workflows to collect user information and shift-preferences for sort-center candidates applying at career fairs.
  • Schedule sort-center workforce, depending on preferences entered into the system.

Technologies:
REST APIs Flask AWS Linux Python