Gunish Jain

IOS Engineer

New Delhi, Delhi, India3 yrs 1 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in Android development with Jetpack Compose.
Proficient in both mobile and backend development.
Strong background in machine learning and cloud solutions.

Stackforce AI infers this person is a Mobile Development and DevOps specialist with a focus on healthcare applications.

Contact

Skills

Core Skills

Mobile Application DevelopmentKotlinSoftware DevelopmentAndroidDevopsPytorchDeep Learning

Other Skills

API DevelopmentAlgorithmsAmazon EC2Amazon Web Services (AWS)Android DesignAndroid FrameworkAndroid SDKAndroid StudioAndroid/IOSArchitectural PatternsC/C++Cascading Style Sheets (CSS)CommunicationDevtronDocker

About

Crafting thoughtful Android experiences, one Compose screen at a time. Github: https://github.com/gunishjain Interests: User Interfaces, Mobile Development, Android/IOS, KMP, Machine Learning/AI Certified in AWS Cloud Solutions Architect Associate

Experience

3 yrs 1 mo

Total Experience

1 yr 9 mos

Average Tenure

1 yr 4 mos

Current Experience

Noak

Software Engineer - I (Android)

Jan 2025 – Present · 1 yr 4 mos · India · Remote

Lead the development of a Patient Android App from scratch, following Clean Architecture for scalability and maintainability.
Build all screens using 100% Jetpack Compose, delivering modern and responsive UI.
Migrated navigation from text based to type-safe navigation using Serialisation for reliable and readable navigation flows.
Develop secure and user-friendly Sign-Up and Login flows for smooth onboarding.
Integrate WebSocket communication for real-time updates and interactions.
Use Kotlin Coroutines and Flows for asynchronous operations and reactive data streams.
Work with Google ML Kit for camera-based features like scanning documents.
Take full ownership of the app lifecycle—from architecture and development to testing and release.
Collaborate with backend, design, and QA teams to ensure high-quality feature delivery.

Mobile Application DevelopmentKotlinAndroid FrameworkJetpack Compose

Market xcel data matrix pvt. ltd.

Product Developer

Mar 2023 – Dec 2024 · 1 yr 9 mos · Delhi, India · On-site

Project Bharat: https://play.google.com/store/apps/details?id=com.kapp.bharat
As a Product Developer working on the Mobile Team, I was responsible for developing and maintaining both the Android app written in Java/Kotlin and PHP backend. My day-to-day activities include creating new features in both the Android app and backend admin panel. This involves writing code for both the front-end and back-end of these applications, creating DB tables, writing SQL queries, and creating new APIs to support the features I am building.
In addition to my technical responsibilities, I also help to guide the direction of the product by assisting the product manager with what features to add. I use my expertise to provide input on what new features will be most valuable to users and help to prioritise the product roadmap.
I am also involved in creating testing/staging environments for testing new features and ensuring that everything is working properly before deployment.

Software DevelopmentAndroid SDKAndroidSQLGitAndroid Studio+9

Devtron inc.

2 roles

DevOps Engineer-1

May 2022 – Jul 2022 · 2 mos

Reduced the manual efforts of the Ops Team by 40% by automating Helm Lint
process using GitHub Actions.
Led On-boarding of Clients on micro-service-based architecture using Devtron
Stack.
Created Shell Script which reduced the manual work of updating and releasing of
various micro-services by 80%.
Created custom Lua script for the ArgoCD app, did POCs on ArgoEvents, and
provided Documentation support for Devtron(CICD) tool.
Wrote Technical Blogs for DevOps based topics.

Software DevelopmentDockerTroubleshootingCommunicationShell ScriptingDevtron+9

DevOps Engineer-Intern

Feb 2022 – Apr 2022 · 2 mos

Software DevelopmentDockerTroubleshootingCommunicationGitProblem Solving+6

Itease

Cloud Intern

Jul 2021 – Aug 2021 · 1 mo · India

1. Tested and Configured Virtual Machines for Application Software.
2. Implemented File Sharing NFS in Microsoft Azure.
3. Created Benchmarks for the performance of Virtual Machines

TroubleshootingCommunicationProblem SolvingAmazon Web Services (AWS)EnglishTechnical Documentation

Bennett university

Research Intern

May 2020 – Jun 2020 · 1 mo

Researched and Developed Deep Learning Model with PyTorch as the framework for the identification of footprints using the Transfer Learning approach.
Improved accuracy and efficiency of the Model by 20% using different algorithms, data modifications, and fine-tuning parameters.
Wrote Research Paper, Article, Presentation and created a Video for the project.

TroubleshootingCommunicationPyTorchProblem SolvingEnglishAlgorithms+2