Karan Bains

Senior Software Engineer

Noida, Uttar Pradesh, India4 yrs 2 mos experience

Highly Stable

Key Highlights

Reduced app launch times by 27% and game table load times by 70%
Led critical features impacting millions of players daily
Spearheaded organization-wide React Native upgrades

Stackforce AI infers this person is a Frontend Engineer specializing in Gaming applications with a focus on performance optimization.

Contact

Skills

Core Skills

React NativeFrontend ArchitectureReact.js

Other Skills

GraphQLOptimizing PerformanceTechnical LeadershipAmazon Web Services (AWS)DockerJenkinsAngularNode.jsJavaScriptHTML5Cascading Style Sheets (CSS)BootstrapMongoDBSQLC++

About

I’m a Frontend Engineer specializing in React Native, React, and scalable mobile app architecture with 5 years of experience delivering high-impact features in gaming. At Games24x7, I’ve led critical features like deep link navigation, wallet systems, and real-time challenges, while optimizing performance (reduced launch times by 27% and game table load times by 70%). I also upgraded React Native (0.63 → 0.73) across org-level projects, improving developer velocity and product stability. Beyond coding, I mentor developers, drive cross-functional releases as Engineering Captain, and help onboard AI-powered developer productivity tools. I thrive at the intersection of scalable systems, product design, and performance optimization, and am always excited to build delightful user experiences that scale.

Experience

Uber

SDE 2

Dec 2025 – Present · 4 mos · Hyderabad, Telangana, India · Hybrid

Games24x7

2 roles

SDE-2

Promoted

Mar 2024 – Dec 2025 · 1 yr 9 mos · Bengaluru, Karnataka, India

Delivered high-impact React Native features (wallet, challenges, deep linking, lobby setup) used by millions of players daily.
Reduced app initialization by 27% (1.4s) and optimized game table launch by 70%, boosting retention.
Led the onboarding of AI-powered developer productivity tools (Cursor, Notebook, CodeRabbit), creating automated review rules and driving adoption across teams to improve code quality and delivery speed.
Migrated WebView flows to React Native, improving 90th percentile add-cash load times from 8s → 3s and driving a 5% lift in LTP.
Spearheaded React Native upgrades (0.63 → 0.73), resolving legacy issues org-wide.
Mentored engineers and drove 7+ releases as Engineering Captain, ensuring smooth cross-team delivery.

React NativeFrontend Architecture

SDE-1

Feb 2022 – Mar 2024 · 2 yrs 1 mo · Bengaluru, Karnataka, India

Contributed to frontend development using React Native, React, and TypeScript, delivering features like deep linking, wallet flows, and user authentication.
Optimized app initialization and launch times, improving performance and user experience.
Integrated backend services with Node.js and GraphQL, ensuring seamless communication between client and server.
Built reusable components and hooks, improving modularity and reducing development time.
Collaborated with backend and QA teams to debug and resolve production issues, ensuring high system reliability.
Implemented unit tests with Jest, supporting robust automation and improving code quality.
Gained exposure to performance monitoring tools (Firebase, Sentry) for real-time error tracking.
Contributed to cross-team releases, supporting feature rollouts under tight deadlines.

React NativeReact.js

Upwork

Full-stack Developer

Sep 2020 – Feb 2022 · 1 yr 5 mos

Delivered frontend solutions using React.js, React.ts, Next.js, Angular, and Ionic for diverse global clients.
Built backend systems with Node.js and MongoDB, ensuring scalable and reliable data flows.
Implemented unit testing (Jest for Node.js, Mocha/Chai for Angular) to maintain high code quality.
Collaborated with clients to visualize user journeys using Human-Centered Design (HCD) techniques like user personas and flows.
Achieved Top Rated status with 100% Job Success Score, reflecting consistent client satisfaction.
Managed end-to-end delivery — from requirement gathering to deployment — across multiple projects.

Vel tech technology incubator

Artificial Intelligence Intern

Jun 2019 – Aug 2019 · 2 mos · Chennai, Tamil Nadu, India

45 days internship on Applications of Artificial Intelligence and Machine Learning in Business using python on NVIDIA DGX 1. I made several regression models, classification models, clustering and association models.(APRIORI and ECLAT)