Abhaya Sood

Software Engineer

Bengaluru, Karnataka, India1 yr 4 mos experience

Most Likely To Switch

Key Highlights

Developed a lung function measurement app using machine learning.
Proficient in multiple programming languages including C++, Java, and Python.
Experience in full-stack development with modern technologies.

Stackforce AI infers this person is a Software Engineer with a focus on Healthcare applications and full-stack development.

Contact

abhaya.sood@cimpress.com LinkedIn

Skills

Core Skills

Full-stack DevelopmentAwsMachine LearningAndroid Development

Other Skills

AWS mediaconvertAmazon Web Services (AWS)Application DevelopmentC (Programming Language)Cascading Style Sheets (CSS)CommunicationDebuggingDevOpsEngineeringEnglishExpress.jsFirebaseHTMLJavaScriptJavaScript Libraries

About

I am a passionate and driven Software Development Engineer currently pursuing a B.Tech in Computer Science and Engineering from NIT Hamirpur. With a strong foundation in data structures, algorithms, and object-oriented programming, I have gained practical experience through internships and personal projects. I completed a research internship at IIT Gandhinagar, where I developed an Android application for lung function measurement using machine learning algorithms. I have also built full-stack applications using technologies like ReactJS, ExpressJS, MongoDB, and AWS. Key Highlights: 1. Proficient in C++, Java, Python, JavaScript 2. Experienced with ReactJS, NodeJS, Firebase and AWS 3. I’m enthusiastic about applying my skills in real-world software engineering challenges and am actively seeking opportunities in software development roles.

Experience

1 yr 4 mos

Total Experience

1 yr 4 mos

Average Tenure

1 yr 4 mos

Current Experience

Cimpress india

2 roles

Software Engineer

Jul 2025 – Present · 11 mos

Software Engineer Intern

Jan 2025 – Jun 2025 · 5 mos

Node.jsMySQLFull-Stack DevelopmentAWSAmazon Web Services (AWS)Terraform+1

Indian institute of technology gandhinagar

Summer Research Intern

May 2023 – Jun 2023 · 1 mo · Gandhinagar, Gujarat, India

This research focused on the development of an Android application for finding the
two important lung parameters, FEV1 and FVC using the Android smartphone. Key work includes
1. An Android application that uses a random forest classifier to predict the
lung parameters, FEV1 and FVC
2. provides visual feedback for each maneuver, thus making it easier to record
maneuvers, and
3. Google Sign-in to backup the data collected.

Python (Programming Language)Machine LearningResearch and Development (R&D)FirebaseMATLABAndroid Development