Verizon Labs - Big Data AI Platform
As a frontend engineer at Verizon Labs, I built the initial interface for Palomar, an AI-powered analytics platform that secured a $47 million contract with América Móvil.
Key contributions:
- Developed the frontend prototype in my first month that became the team's flagship product
- Led UI implementation for enterprise customizations supporting multi-tenancy and real-time data visualization
- Built interactive geo-spatial and temporal visualizations for massive datasets
- Collaborated with data scientists to make ML insights accessible through intuitive interfaces
The platform enabled enterprise clients to analyze customer behavior, automate segmentation, and make data-driven decisions at scale.
Interactive, customizable vector maps
Front-end best practices
Jasmine automated testing
React and Redux
Decoupled web architecture
Big data analytics platform for ad segment generation with $47M in revenue.
Company
Verizon
Role
Senior Software Engineer
C. Ming Yang
Senior Project Manager
Audrey is a key member of the AMX Front End team. She's not only knowledgeable but also responsive in completing her tasks and bugs timely. She also took the initiative and introduced ESLint to the team to improve code quality. Most important of all, Audrey understands the criticality of her role and deliverables to the bigger picture of the total project deployment.
C. Ming Yang
Falak Dave
Technical Manager, Software Development
Audrey is a key member of Front End engineering team and she is leading efforts in Front end development for AMX product. Audrey takes initiatives in learning new technologies, improving code base and also sharing it with other front end team members whenever she gets chance. She promotes learning culture in the team. She is enthusiastic, passionate about her work and delivers her work on time.
Falak Dave
Dinesh Masand
Sr. Technical Manager, Software Development for Big Data Analytics
Audrey was quickly pulled into the Palomar project activities and was expected to contribute to the project very quickly. She picked up the platform in a few days and started contributing almost immediately. She even worked hard during weeknights and weekends to complete some urgent tasks without being told to do so. She was performing while learning and I forgot that she had only been here for less than 2 months.
Dinesh Masand
Verizon Labs -> Verizon Media
In the News
In the news
How Verizon Is Building A Big Data And AI Culture
Led by Ashok Srivastava, Verizon’s Chief Data Scientist, the Palo Alto-based lab employs large-scale machine learning both to improve Verizon’s infrastructure and to develop products in such areas as education, healthcare and the Internet of Things.
Read the article on forbes.com
In the news
Palo Alto Selected as Primary Site for Verizon Data Analytics Team, Lab and Research Center
Capitalizing on the specialized big data analytics talent in Silicon Valley, Verizon has selected Palo Alto as the primary site for its newly created data analytics team and labs.
Read the article on verizon.com
Slideshare
Driving Digital Transformation through Big Data Analytics and Machine Learning
Learn how Verizon’s big data and AI platform is embracing digital transformation, and how it delivers actionable insights, predictions, and trends to its digital consumers.
View on slideshare.com
Slideshare
Realtime Analytical Query Processing and Predictive Model Building
The technology behind Verizon's data analytics application. Key takeaways from the talk will be a thorough understanding of how to make Lucene powered time aware search a first class citizen in Spark to build interactive analytical query processing and time series prediction algorithms.
View on slideshare.com
In the news
AMX Contenido (AMCO) and Verizon Media sign multi-year strategic partnership
Verizon Media and AMCO - a wholly-owned subsidiary of América Móvil - announced today a new strategic partnership for AMCO to become the exclusive reseller in Mexico of certain of its advertising products.
Read the article on yahooinc.com
Invited Talk
Large-Scale Machine Learning at Verizon: Theory and Applications
This talk will cover recent innovations in large-scale machine learning and their applications on massive, real-world data sets at Verizon. These applications power new revenue generating products and services for the company and are hosted on a massive computing and storage platform known as Orion.
View on dLacm.org