Open to opportunities

Gedela Sunil

@gedelasunil

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SDE building ad monetization and cross-platform mobile SDKs, improving performance, viewability, and developer tooling.

India

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What I'm looking for

I’m looking for a product-focused engineering team where I can build and optimize mobile ad experiences and SDKs, own measurable outcomes (fill rate, eCPM, viewability), and collaborate on reliable backend systems and developer tools.

I’m a Software Development Engineer focused on shipping production-grade features—especially in mobile, ads, and developer tooling—where reliability and measurable impact matter.

At Dream11, I integrate and maintain ad monetisation across the mobile app using Google AdMob, Google Ad Manager (GAM), AppLovin MAX, and the in-house Vmax stack, including remote config per placement via feature flags. I also improved fill rate and eCPM for rewarded and interstitial ads by building preload flows before high-intent actions and integrating mediation waterfall paths across AdMob, AppLovin MAX, and Vmax.

I developed a cross-platform React Native SDK for ad viewability by wrapping IAB’s Open Measurement SDK (OMID v1.6). Using native modules in Kotlin and Objective-C++ (with TypeScript APIs, React hooks, and TurboModule integration), I managed session lifecycle for display and video ads across iOS and Android for IAB-compliant viewability tracking.

I also built and launched Dream11’s Ads-Free subscription system across Android and iOS, integrating Google Play and App Store billing with a unified entitlement service. Beyond ads, I enjoy building systems—like a GitHub App that automates PR code review with Claude AI—and I’ve delivered multithreaded HTTP and TCP chatroom servers, plus ML experiments in Keras for dog barking detection and speech emotion recognition.

Experience

Work history, roles, and key accomplishments

Current

Software Development Engineer 1

Current

Dream11

Jul 2025 - Present (11 months)

Integrated and maintained ad monetisation for the Dream11 mobile app using AdMob, Google Ad Manager, AppLovin MAX, and Vmax, improving rewarded/interstitial delivery via preload flows and mediation waterfall routing. Built an iOS/Android React Native OMID (Open Measurement) viewability SDK and launched the Ads-Free subscription system with Play/App Store billing, idempotent webhook handling, and 2

Google AdMob Google Ad Manager Applovin React Native Kotlin Objective C Open Measurement SDK (OMID)TypeScript GraphQL

Software Development Engineer Intern

Samsung Research Institute

May 2024 - Jul 2024 (2 months)

Developed deep learning models for dog barking detection and speech emotion recognition using Keras, achieving 85%+ accuracy. Wrote optimized C++ audio preprocessing to reduce feature-extraction latency and improve the end-to-end deep-learning training pipeline.

Keras TensorFlow Deep Learning Python C Feature Extraction Model Training Machine Learning

Education

Degrees, certifications, and relevant coursework

Indian Institute of Technology, Madras

Bachelor of Technology, Computer Science & Engineering

2021 - 2025

Grade: CGPA: 8.53/10

Activities and societies: Relevant coursework included Data Structures & Algorithms, Operating Systems, DBMS, Computer Networks, and Compiler Design.

Pursuing/earned a Bachelor of Technology in Computer Science & Engineering at IIT Madras (Nov 2021 to Jun 2025). Achieved a CGPA of 8.53/10 and completed core courses including Data Structures & Algorithms, Operating Systems, and DBMS.