Arnab Datta

IOS Engineer

Bengaluru, Karnataka, India4 yrs 7 mos experience

Key Highlights

Over 3.5 years of mobile app development experience.
Expertise in iOS SDK and Swift for B2C applications.
Proven track record in enhancing user experience and app performance.

Stackforce AI infers this person is a Mobile Application Developer with a focus on B2C solutions in the Healthcare and Multimedia sectors.

Contact

Skills

Core Skills

Ios DevelopmentAnalyticsMiddleware

Other Skills

AccessibilityAlgorithmsC++Campaign IntegrationCommunicationData AnalysisData StructuresDatabase DesignDeep LinkingEvent TriggersGitHubJavaScriptJiraMachine LearningNode.js

About

A Software Engineer with over 3.5 years of expertise in crafting solutions for Mobile Applications and Middlewares. My experience includes developing seamless B2C Multimedia and Healthcare products using iOS SDK in Swift. Additionally, I have worked on Middleware development, leveraging NodeJS & Express to create robust API and data organisers. I am enthusiastic about collaborating on exciting projects and driving technological advancements. Let's connect and explore how my skills and ideas can benefit your team or project.

Experience

4 yrs 7 mos

Total Experience

1 yr 8 mos

Average Tenure

1 yr 3 mos

Current Experience

Jiohotstar

Software Engineer II

Jan 2025 – Present · 1 yr 3 mos

Gaming & Discovery - iOS, tvOS

Viacom18 media private limited

Software Development Engineer II, JioCinema

Sep 2023 – Jan 2025 · 1 yr 4 mos · Bengaluru, Karnataka, India · Remote

Built scalable, modular UI components to support dynamic layouts and personalised discovery, enhancing user experience and reducing manual configurations.
Achieved a leaner app with improving asset management and tightening dependency management.
Developed analytics support for asset discovery and cohort-based tracking to drive better personalisation and optimize content performance.
Implemented platform migration with deep linking and interstitials to enable smooth user and content migration with flag-controlled rollouts.

iOS DevelopmentSwiftUI ComponentsAnalyticsDeep Linking

Practo

3 roles

Software Engineer II (iOS)

Promoted

Apr 2022 – Sep 2023 · 1 yr 5 mos

Designed and deployed experimental UI constructs and reusable SDUI components (with middleware extensions), enabling faster rollouts and shaping conversion strategy.
Rebuilt iOS accessibility (voice-over) to meet compliance standards and redesigned the event handling architecture, improving efficiency and cutting infra costs by 25%.
Led third-party campaign integration and optimized deployment pipelines, delivering 150% of projected revenue at first launch.
Built a scalable story viewer for Practo Care Dental, boosting asset conversions by 20%.

iOS DevelopmentSDUI ComponentsAccessibilityCampaign IntegrationMiddleware

Software Engineer I (iOS)

Aug 2021 – Mar 2022 · 7 mos

Implemented & Revamped Customer Feedback, Marketplace, App Home, Health Cash & Coupons and Doctor Registration on consumer-side and provider-side iOS applications.
Developed reusable and scalable SDUI components and collections to support variable layouts for user-specific/location-specific content display.
Monitored the regression testing phases and ensured successful publishing of the application on the App Store periodically as a Release Engineer.

iOS DevelopmentSDUI ComponentsRegression Testing

Software Engineer Intern

Feb 2021 – Jul 2021 · 5 mos

Integrated event triggers and loggers to enhance analytics on consumer interactions, improving customer experience.
Improved attribution accuracy by leveraging real-time Push API responses and refining validity specs, strengthening confidence in ad strategy.
Revamped card designs and storefront UI to launch new initiatives (Covid Care, Fairfield surgeries) in the iOS app.

Event TriggersUI DesignAnalytics

The sparks foundation

Data Science Intern

Dec 2020 – Jan 2021 · 1 mo · Chennai, Tamil Nadu, India

Worked on material modeling for supervised and unsupervised ML models and visual representation of ensemble models. Applied EDA to find tuning parameters of the target labels for performance improvement and strategy alteration illustrations.

Machine LearningData Analysis