Priya Yadav

Software Engineer

Bengaluru, Karnataka, India5 yrs 11 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Experienced in Java and Android development.
Strong background in UX/UI design and research.
Proven ability to develop software features and interfaces.

Stackforce AI infers this person is a Software Developer with expertise in Fintech and Mobile Development.

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Skills

Core Skills

JavaAndroid Development

Other Skills

Adobe design toolsAsynchronous programmingC++Data CollectionDatabase managementHTMLJavaScriptMachine LearningMicrosoft OfficeProject ManagementUX/UI DesignVertX framework

About

Software Developer at PayPal | Former intern at Dell R&D | IIIT Gwalior

Experience

Paypal

2 roles

Software Engineer 2

Apr 2022 – Present · 3 yrs 11 mos

Software Engineer

Aug 2020 – Apr 2022 · 1 yr 8 mos

Dell technologies

Graduate Student Intern

Jan 2020 – May 2020 · 4 mos · Banglore

1. Worked as a software developer (Java developer)
2. Got to work with Java/VertX framework which is helpful in case of asynchronous calls with optimum number of threads.
3. Developed a feature related to periodic purging of the database and filesystem based on cron jobs.

JavaVertX frameworkDatabase managementAsynchronous programming

Leap & scale

Summer intern in Android development

May 2019 – Aug 2019 · 3 mos · Pune/Pimpri-Chinchwad Area

1. Worked as a research intern for UX/UI research.
2. Designed wireframes and UI components for the ongoing app projects.
3. Got to learn different methods of performing the UX research and worked in Adobe platform of designing wireframes.

Android DevelopmentUX/UI DesignAdobe design tools

Abv-indian institute of information technology and management

Research And Development Intern

May 2018 – Jul 2018 · 2 mos · Greater Gwalior Area

1. Did a research on the topic of indoor positioning system as the GPS fails to work within indoors.
2. Build an android interface in Android Studio to present the above research goal.
3. The app collected the data and then a ML model is trained using this data to increase the prediction accuracy.

Android DevelopmentMachine LearningData Collection