Ayush Jain

Full Stack Engineer

Bengaluru, Karnataka, India8 yrs 5 mos experience

Highly Stable

Key Highlights

Expert in iOS development with Swift and SwiftUI.
Proven track record in optimizing UI/UX for healthcare applications.
Strong backend skills with Node.js and Python.

Stackforce AI infers this person is a Full Stack Engineer specializing in Healthcare technology with a focus on mobile and backend development.

Contact

Skills

Core Skills

Full Stack DevelopmentIos DevelopmentDevopsGraphqlBackend DevelopmentMobile DevelopmentMachine LearningWeb Development

Other Skills

DjangoSwiftProgramming LanguagesUI/UX DesignDatabase MigrationGitLabPythonApollo GraphQLCloud StorageSpring BootJavaDeep LearningCoreMLSpring FrameworkGCP

About

With 5 years in software development, I excel at creating robust solutions. My iOS expertise, including Swift, UIKit, Core Data, and SwiftUI, is complemented by crafting Bluetooth libraries—showcasing iOT and business logic proficiency. Data structures and algorithms are my foundation for problem-solving, enhancing every aspect of my work. On the backend, I extend my toolkit with Node.js and Python, while also curating captivating UI experiences through React, HTML, and CSS. This versatility is backed by hands-on Git, DevOps, and cloud mastery with AWS and GCP. Coding, to me, is like orchestrating the future—one line of logic at a time.

Experience

8 yrs 5 mos

Total Experience

6 yrs

Average Tenure

2 yrs 6 mos

Current Experience

Vividly

Full Stack Engineer

Dec 2023 – Present · 2 yrs 6 mos

GraphQLDjangoFull Stack Development

Philips

3 roles

Software Technologist I

Jan 2022 – Jan 2024 · 2 yrs · Bengaluru, Karnataka, India

Optimized UI/UX by migrating all screens to native iOS, cutting screen response time by 10% in DreamMapper application
Enabled background sync for real-time medical device data updates and seamless server uploads. Executed heavy-weight database migration to enhance database efficiency, resulting in a 20% faster data retrieval.
Enhanced GitLab CI/CD pipeline Python script, resulting in a 10% reduction in deployment time through streamlined dependency installation.
Crafted a dynamic push notification service leveraging APNS, enabling precise scheduling of reminders for enhanced user engagement.
Introduced a shared test architecture for multiple classes, driving efficient unit test development and boosting code coverage from 51% to 70%.

SwiftProgramming LanguagesiOS Development

Software Development Engineer II

Promoted

Jan 2020 – Jan 2022 · 2 yrs · Bengaluru, Karnataka, India

Designed patient-specific push notifications, personalising reminders based on individual preferences and settings, using message queues and cloud storage for smooth delivery and multimedia handling Explored Contentful and Webflow integration, identifying opportunities for streamlined content management.
Implemented Apollo iOS for GraphQL integration, yielding a significant 30% reduction in data retrieval time and enhancing user experience.
Revamped state management in Dream Mapper web app, resulting in streamlined data flow, centralised control, and improved app responsiveness.
Constructed a RASP module to facilitate efficient rasp packet creation and parsing.
Developed a robust Bluetooth library facilitating IoT connectivity for CPAP devices via RASP protocol, enabling seamless data exchange and remote control capabilities.

SwiftApollo GraphQLiOS Development

Software Development Engineer I

Jan 2018 – Jan 2020 · 2 yrs · Bengaluru, Karnataka, India

Utilised dynamic programming to refactor a Java backend micro-service, reducing complexity from exponential to quadratic, significantly boosting performance when processing patient’s therapy data.
Resolving critical production defects related to Bluetooth connectivity, addressing a significant pain point for users. Resultantly, app rating improved from 4.4 to 4.6, garnering usage by over a million users.
Integrated Scichart to implement a dynamic chart feature, enhancing therapy data visualization capabilities within the application.

SwiftSpring BootBackend Development

Adobe

Product Development Intern

Jan 2018 – Jun 2018 · 5 mos · Noida, Uttar Pradesh, India · On-site

Utilized deep learning to train an image segmentation ML model, seamlessly integrated into a mobile app via CoreML, enabling real-time filters and targeted adjustments in Photoshop Express.

SwiftGitlabMobile Development