# Jay P.

> Software Engineer @ Instagram

Location: United States, United States
Profile: https://flows.cv/jayp

As a Software Engineer at Instagram, I contribute to the development of Reels Monetization by leveraging my expertise in Android and software development. My work involves creating innovative solutions to enhance user experiences on the platform.  

With a Bachelor of Science in Computer Science from North Carolina State University, I bring a strong foundation in technology and a deep understanding of back-end web development, Kotlin flow, and software development. My commitment to collaboration and delivering impactful solutions drives my contributions to every project.

## Work Experience
### Software Engineer, Android @ Instagram
Jan 2024 – Present | United States
Instagram Wearables Display and Instagram Reels Monetization

### Android Engineer @ LinkedIn
Jan 2022 – Jan 2024 | Austin, Texas Metropolitan Area
• Messaging on the LinkedIn Android app
• Integrated MessagingSDK to Android, leading to the unification of messaging 
• Added the Opt-In/Opt-Out for Focused Inbox which allowed GDPR compliance and resulted in the EU launch of the Focused Inbox feature
• Lead Conversation Starter Ads in for revenue mitigation caused by Focused Inbox
• Added  Starring to messaging, which lets users star important conversations
• A/B test each project to choose the version that gives the best outcome
• Android Accessibility champion - ensure messaging is accessibility compliant  

• Lead the implementation of the improved inbox with various filter pills and folder

• Written in Kotlin and Java and uses Coroutine, Flow, and LiveData with clean architecture and MVVM

### Android Engineer @ One Drop
Jan 2021 – Jan 2022
• Worked on the One Drop android app
• The app is built in Kotlin and follows an MVP architecture.
• RxJava was used within the app for reactive programming and is used with Retrofit for REST calls

### Full Stack Software Engineer @ Allstate
Jan 2019 – Jan 2020
•  Working in an XP team on Allstate’s Extended Vehicle Care web application. (https://extendedcare.allstate.com)
•	The application uses React with Redux for the front-end which runs on a node.js server with express, and Java and Spring for the backend.
•	Jest and Spock are used for testing.
•	The application integrates with various internal and external services.
•	In addition to working on the main app, lead the effort to:
      1.	Created an Admin app which resulted in the business being able to update data used in the 
                 application without the dev team, resulting in saved effort and quicker results updates for the 
                 business.
     2.	Lead the ownership transfer of dealer widget from the Rapid Prototyping Team
               •	The widget is essential a dynamic ad on a dealer’s website
               •	The widgets are served with Scality and are served as an iframe

### Junior Backend Engineer @ Allstate
Jan 2019 – Jan 2019 | Charlotte, North Carolina
•	Maintained and extended abilities for Allstate’s Experimentation Platform (essentially A/B testing) created using Java and Spring Boot.
•	Lead the effort to:
      1.	Move the application from Spring security to enterprise security which resulted in an easier 
                onboarding process
     2.	Get more feedback from the user which resulted in more clients for the application.
     3.	Improved the response time of the application which resulted in the enterprise email service 
                 using the application.
     4.	Advocated for test driven development within the team that resulted in improved code quality.
•	The application mainly used Oracle for storing data and Hibernate is used as an ORM

### Undergraduate Research Assistant @ North Carolina State University
Jan 2019 – Jan 2019 | Raleigh-Durham, North Carolina Area
Worked on adding a C++ module that would converts IFC files to Exdous file format to mastodon open source project

### Capital Markets Technology Analyst Intern @ Wells Fargo
Jan 2018 – Jan 2018 | Charlotte, North Carolina
•	Worked on a web application tool that ranks securities and different aspects of a security based on criteria from the user for a Quantitative Research Platform hosted on a WebLogic server and tested using JUnit.
•	Designed the complete application UI using Bootstrap
•	Created Spring REST controllers to download static files from the backend and load a portfolio based on users’ selection.
•	The securities in the portfolio were displayed as a table and grouped based on sector in frontend using jQuery and DataTables plugin.
•	Loaded the portfolio data from a SQL database using Hibernate to be used by the REST controllers.

### Computer Vision for Self Driving Vehicles - Lane Detection @ National Science Foundation (NSF)
Jan 2017 – Jan 2017 | NC A&T University, Greensboro, North Carolina
The research paper written during the REU (Research Experience for Undergrads) was accepted and presented at ERN in STEM 2018 conference 

• Research on detecting lanes from a live camera feed. A segmentation neural network was retrained to detect lanes and roads. 
• The output from the model was used to estimate the function for the lane.
• The model was 60% accurate


## Education
### Bachelor of Science - BS in Computer Science
North Carolina State University


## Contact & Social
- LinkedIn: https://linkedin.com/in/jay98

---
Source: https://flows.cv/jayp
JSON Resume: https://flows.cv/jayp/resume.json
Last updated: 2026-03-22