Designed a ML-driven recommendation system, powering AI-driven personalization in production apps. Built large-scale PySpark + AWS EMR pipelines reducing data processing latency by 25–50%, enabling faster analytics and retraining. Engineered ETL workflows generating 10K+ daily events, improving dataset quality for ML training, monitoring, and KPI dashboards.

Android Developer at Scripts Solutions

January 1, 2023 - December 1, 2023

Modernized Android app using Kotlin + Jetpack Compose, improving performance by 40% and reducing crashes. Integrated secure back-end services (Node.js + FirebaseAuth) achieving <1s login latency. Developed analytics pipelines to track user behavior, improving personalization accuracy by 18%. Implemented offline-first architecture with Room DB, ensuring reliability in low-network conditions. Designed modular, scalable UI components that reduced future development time by 25% and improved maintainability.

iOS Developer at ElayneTech

January 1, 2022 - June 1, 2022

Developed Swift UI ride-booking platform supporting 10K+ daily transactions, reducing booking flow time by 30%. Integrated Firebase for live tracking and push notifications, increasing user retention by 20%. Designed modular API integrations enabling future ML forecasting (demand, routing). Added XCTest/XCUITests automation, reducing production bugs by 25%. Improved app performance by optimizing Core Data and network calls, resulting in 35% faster screen loads and smoother user experience.