• Technical lead for the AIO team - Led morning standup, participated in daily scrum of scrums meeting (engineering triage), member of engineering TASC team (company wide engineering triage/sprint priority).

• Developed new features (contractor sign-up, lead-processing, Five9 call-center interaction, performance tracking, Salesforce integration) and unit+acceptance tests (codeception) into main monolith API (Laravel 6.x, Doctrine) and legacy PHP API (in house framework for lead ingestion/routing).

• Lead migration from Lumen to Laravel (5.x) for main monolith API. Included setting up Laravel Horizon to manage existing redis queues.

• Developed a dynamic system to automate ad location targeting for marketing campaigns in Google Ads/Facebook Ads. The system provided the ability for the marketing team to fully manage parameters to determine coverage while internally optimizing for max revenue. Utilized Docker, Laravel (6.x, Doctrine), MySQL 5.7, Python 3.7.

• Developed a marketing platform agnostic click attribution tracking microservice to track clicks (pixel fires), conversion events, and lead creation events - all used for various revenue optimization across the company. Utilized Docker, Python 3.7, MySQL 5.7

• Developed an in house Python based ETL system (remote execution through Airflow) that manages 50+ ETLs for various applications across the company. Utilized Docker, Python (3.7, Django, Celery), MySQL 5.7, Slack API, AWS S3 API.

• Performed migration of error monitoring from Airbrake to Sentry for all internal codebases, set up the projects, alerts, and release configuration used for morning triage.

• Lead technical integration and research (feature + pricing comparison) for using a new 3rd party extension system (JAF) in the marketing team’s Eloqua campaigns.

• Mentored new hires and developed an all-in-one “Day-One” setup guide used by all new engineering hires allowing them to get their local environment setup and pushing code on their first day.

• Developed a machine learning pipeline with automatic model building, prediction, and deployment for defect image classification. Utilized Python (3.6, caffe), Laravel (5.5), Vue, SASS, and MariaDB.

• Built a wafer signature prediction app to automatically catch certain scratch signatures on wafers before they were shipped to the customer. Utilized Nvidia-Docker, Python (3.5, Tensorflow).

• Developed an audit app+web front-end to automate the summarization of factory system changes to prevent wafer loss. Utilized Python 3.6, Laravel (5.5), Vue, SASS, and MS-SQL.

• Developed Samsung management forum site to help VP/Managers gather anonymous feedback from employees with ability for employee voting and direct response from management. Utilized Laravel (5.5), Vue, SASS, and MS-SQL.

• Installed and set-up an internal Python PIP repository to hold locally developed Python Packages to allow for easier package installation in internal projects without corporate proxy.