Dani Ezzeddine Email & Phone Number

San Francisco, California, United States

Palo Alto, California, United States

• Built live streaming platform using Django/Vue that is able to handle more than 50,000 participantsusing python-mux and videojs libraries, achieving an incredible increase of user activity on theplatform by 40% in the first 3 months after the launch of the feature.• Established integrations with other platforms, and achieved seamless syncing of customers andproducts from Shopify; sending emails on behalf of the user's Outlook and Gmail accounts; single signon from Salesforce; Syncing of photos from Instagram, iCloud, Dropbox, Google Drive.• Built a data collection service in NodeJS using Cheerio library to insert product information fromforeign websites into the platform; Successfully deployed on Google Lambda; Performed a weeklytesting using a custom-built page to bulk scrape all the websites at once.

Los Angeles, California, United States

• Participated in decision-making processes regarding software infrastructure, database modeling,development workflow and set up Jira to track progress and milestones based on 2-weeks Sprint cycles.• Implemented NodeJS Dijkstra's algorithm and combined it with a graph matching algorithm, resultingin ~50% client matching speed performance and decreased load on the server by 35%.• Created admin tools using NodeJS to ease developers' work and perform CRUD operations onthe database through the web platform which resulted in increased development and QA performance.

United States

• Set up Elasticsearch cluster for storing indexes of flight log data; Built NodeJS search engine andGoogle Cloud automation to perform daily indexing of newly created data, resulting in ~75% searchspeed improvement.• Engineered aggregating pipelines in NodeJS and MatLab that are able to upload more than 24 TB offlight log data through the chain of platforms and convert raw binary data to more efficient formats thatsuit Flight Test team research processes.• Collaborated with the Flight Test and Ground Control Station team to prototype and implementNodeJS engine and drag-and-drop application to build and run a chain of MatLab and Python analyticscripts.