In addition to the Senior Software Engineering tasks below ...- Ensure collaboration and transparency between product, data engineers, front end, and back end developers- Mentor junior developers- Principal engineer and guiding voice for back end architecture of Kinsa's flagship Insights Explorer product

- Build integrations between Kinsa's Insights Explorer product and third party BI tools like Toucan Toco and Apache Superset- Create Django CMS to manage Insights Dashboard content - Create RBAC system for Kinsa’s Insights Dashboard product- Build full pipeline from Kinsa’s AWS Redshift data warehouse to a Redis cache to a Flask API to support their Healthweather.us live illness maps- Refactor and expand Kinsa Insights API to move from MVP to full high availability, low latency product used by corporate and government clients- Create Dockerized development environments to promote independence and experimentation for data scientists, front end engineers, and QA testers

- Dockerization and CircleCI to automate CI/CD and streamline local development- Creating Django apps to speed up repetitive data matching tasks for interns- Data QA using Airflow, AWS Batch, and Great Expectations

- Revamp sprint planning process, oversee core API products, and mentor entry level team members as Back End Team lead- Break monolith into microservices using Kubernetes and Docker- Create Github-triggered CI/CD pipelines using Cloud Build, Pytest, and Newman- Build and maintain endpoints for RESTful API using Django Rest Framework running on Google App Engine with Datastore to support indoor location services- Construct data pipelines with Apache Beam, Dataflow, and Pub/Sub; Deploy with App Engine Flex and Docker- Lead cross-functional teams to implement new features like customizable Single-Sign-On- Revamp API data search indexing system- Create and maintain Vagrant box to standardize back end dev environment

- Re-architected and optimized database models and views to accommodate new features on webpage templates for Django content management system- Created API endpoints to expose main sites to a mobile app and implemented a CMS-driven push notification system- Spearheaded a multi-department overhaul to streamline landing page creation process and create a semi-automated lead qualification system in Flask- Managed an undergraduate intern by onboarding, training, mentoring, and assigning appropriate tasks

At the Meteorological Development Lab, I:- Created a new extra-tropical storm surge (ETSS) model output website. The website has a PHP back end which processes and delivers model data to a CSS/HTML5/jQuery front-end utilizing D3 for data visualization.- Moved ETSS model data post-processing from an unreliable local machine to NOAA's operational supercomputer and completely re-worked the code to meet operational standards. For reduced processing time, the code is written in FORTRAN and driven by C and Bash scripts. Presented the results at the American Meteorological Society conference in 2015.- Re-created the probabilistic surge website (PSurge) to animate and update model output maps based on user input using Backbone.js and Underscore.js- Began development a front-facing website for our group to explain surge and our products to our users.Most of the websites use Bootstrap and all were created in a Unix/Linux environment and backed up by SVN.Some side-projects which were never implemented but educational nonetheless:- Wrapped Python around our tide prediction library (which is written in C) to create a tide prediction module- Wrapped Python around our FORTRAN data post-processing code to complete tasks like string manipulation and file I/O and left the number crunching to FORTRAN

- Research: Explore the dynamic ocean response to hurricane forcing using HYCOM model and ADCP, Aanderaa, and CTD observations- Technical skills: MATLAB, Unix shell, Microsoft Office Suite, Fortran, and Python- Other: Field work with NOAA Hurricane Hunters; teaching assistantship

- Research: Investigated cause of high ozone conditions over Long Island- Technical skills: MATLAB

Part-time, periodic work sampling air quality at various industrial operations- Technical skills: EPA test methods 1, 2, 3, and 4, EPA test method 25A, and test 204

- Research: Programmed acoustic array to triangulate source of low frequency signals from severe storms- Technical skills: MATLAB (GUIs and electronic signal processing), scientific instrumentation