Ayonya P.

Software Engineer

Bengaluru, Karnataka, India6 yrs 11 mos experience

Highly Stable

Key Highlights

Seasoned Android developer with SDK innovation expertise.
Published research on machine learning for network security.
Collaborative problem-solver eager to learn latest Android tech.

Stackforce AI infers this person is a Mobile Application Developer with expertise in Android and Machine Learning.

Contact

Skills

Core Skills

Android DevelopmentRest ApisMachine LearningArtificial Neural Networks

Other Skills

KotlinAndroidObject-Oriented Programming (OOP)Test CoverageMobile Application DevelopmentRetrofitAndroid SDKModel-view-viewmodel (MVVM)JavaFirebaseAndroid FrameworkDigital Image ProcessingMatlabPythonKeras

About

I am a seasoned Android developer with a focus on application development and SDK innovation. I am an eager learner of the latest Android tech, bringing a collaborative and problem-solving approach to the team. If you like my profile, please try to reach me at my email address: workayonyaintu@gmail.com or send me a message. I would love to get in touch regarding any interesting opportunities.

Experience

6 yrs 11 mos

Total Experience

1 yr 11 mos

Average Tenure

1 yr

Current Experience

Uber

Software Engineer

May 2025 – Present · 1 yr

Shield

Mobile Engineer

Feb 2024 – Apr 2025 · 1 yr 2 mos · Bengaluru, Karnataka, India

SHIELD is a device-first, risk AI platform that helps digital businesses worldwide eliminate fake accounts and stop all fraudulent activity.
SHIELD identifies the root of fraud with the global standard for device identification (SHIELD Device ID) and actionable risk intelligence, empowering businesses to stay ahead of new and unknown fraud threats.
We are trusted by global unicorns like inDrive, Alibaba, Swiggy, Meesho, TrueMoney, and more. With offices in San Francisco, Miami, London, Berlin, Jakarta, Bengaluru, Beijing, and Singapore, we are rapidly achieving our mission - eliminating unfairness to enable trust for the world.
For more information, visit shield.com

KotlinAndroidAndroid Development

Intuit

2 roles

Software Engineer II

Promoted

Jan 2021 – Dec 2023 · 2 yrs 11 mos · Bengaluru, Karnataka, India

REST APIsObject-Oriented Programming (OOP)Test Coverage

Software Engineer

Jul 2019 – Dec 2020 · 1 yr 5 mos · Bengaluru, Karnataka, India

Mobile Application DevelopmentRetrofitREST APIsAndroid SDKModel-view-viewmodel (MVVM)Java+6

Indian institute of information technology allahabad

M.Tech. Thesis: Deep Learning Framework for Network Intrusion Detection Systems

Jan 2019 – Jun 2019 · 5 mos

Published a paper that tackles the ongoing challenge of network security by presenting a machine learning model for intrusion detection based on RNN and LSTM. Trained with optimal feature vectors, the proposed model showcases proficiency in remembering and classifying attacks, outperforming existing models in accuracy on the NSL-KDD dataset. The evaluation encompasses diverse parameters, validating the heightened performance of the model.

Intuit india

Summer Internship

May 2018 – Jul 2018 · 2 mos

Worked with the Technology Futures team to build a module that parsed the UK Law files
for payroll taxes and generated two intermediates - a structured representation JSON file and a
predicated argument structure JSON file. Generated files were further used by an internal tool to
generate the required XML files to run on the tax calculation engine for various law statuses and
multiple tax years.

Institute for development and research in banking technology (idrbt)

Summer Research Intern

May 2017 – Jul 2017 · 2 mos

Topic: Deep Learning for Image Pixel Prediction
Details: The objective of the project was to study the usefulness and find out the most suitable
architecture of artificial neural network in predicting pixels in an image, based on the neighbor-
hood pixels. Applications of image pixel prediction is reversible data hiding where in using this
novel method both the data and the image can be retrieved with minimal loss.
Tools Used: Python with Keras and OpenCV