AMAN ROY

Software Engineer

North Delhi, Delhi, India6 yrs 1 mo experience

Most Likely To SwitchHighly Stable

Key Highlights

Experienced in Android development with Kotlin and Swift.
Strong background in Machine Learning and Deep Learning.
Researcher in Graph Neural Networks for Recommender Systems.

Stackforce AI infers this person is a Software Engineer with a focus on Android development and Machine Learning applications.

Contact

Skills

Core Skills

AndroidTeachingMachine LearningData Science

Other Skills

Android LibrariesApplied Machine LearningApplied ProbabilityArchitectureBig Data AnalyticsCC++Cascading Style Sheets (CSS)Core JavaData MiningDeep LearningDiscrete MathematicsGraph Attention LayersHTML5Kotlin

About

I am a Software Engineer(Android) currently working at Uber. (Code in Kotlin/Swift | Play around Android/IOS Libraties + Architecture) is what my usual workday looks like. Motivated to learn and contribute everyday. As a side hobby I am also interested in Machine Learning and Deep Learning. I have worked with Graph Neural Networks ( and its application in Recommender Systems) quite extensively. I have done couple of internships, research projects in the above field. github :- https://github.com/aman16011 Link To Paper :- https://link.springer.com/chapter/10.1007/978-3-030-47426-3_41

Experience

Uber

Software Engineer

Sep 2022 – Present · 3 yrs 6 mos

KotlinSwiftAndroid LibrariesArchitectureAndroid

Verse innovation

4 roles

Senior Software Engineer

Promoted

Apr 2022 – Sep 2022 · 5 mos

Software Engineer

Promoted

Apr 2021 – Mar 2022 · 11 mos

Associate Software Engineer

Nov 2020 – Mar 2021 · 4 mos

Software Engineer Trainee

Aug 2020 – Oct 2020 · 2 mos

Indraprastha institute of information technology, delhi

Teaching Assistant

Jan 2020 – May 2020 · 4 mos · Delhi, India

I worked as a teaching assistant for the course Probability and Statistics offered at IIIT Delhi. My primary task was to take tutorials, write solutions for the exams and check the exam sheets of the students.

ProbabilityStatisticsTeaching

Joveo

Data Science Intern

May 2019 – Jun 2019 · 1 mo · Hyderabad, Telangana, India

I worked on Job Title Structure Learning using techniques associated with NLP and DL.

NLPDeep LearningData Science

Lcs2 lab, iiit delhi

Undergraduate Student Researcher

Aug 2018 – Dec 2019 · 1 yr 4 mos · Delhi, India

I worked on representation learning for Multigraph using Supervised random walks and Skip-gram model. The research was extended to improve the time complexity and space complexity of the previous method with the help of Graph attention layers and an unsupervised loss function.

Representation LearningSupervised Random WalksSkip-gram ModelGraph Attention LayersMachine Learning