Summary
Cagdas Eksi is a Lead Mobile Developer with 11 years of software experience who transitioned from building .NET web backends to designing native iOS and cross-platform React Native apps, and more recently to Python-driven ML and data analysis. He architects end-to-end mobile solutions—BLE medical device integrations, Apple Health/Google Fit sync, and AI-driven analytics for ECG and blood pressure forecasting—while also owning backend APIs and ASO strategies. His work spans startups to healthcare and enterprise, shipping apps on both App Store and Play Store and leading small engineering teams. Notably, he combines hands-on Swift and React Native development with practical ML implementations (TensorFlow, scikit-learn) to turn sensor data into actionable insights. Based in Istanbul, he blends technical breadth with product-minded delivery and a track record of launching specialized apps like AI sports prediction and real‑time translation keyboards.
11 years of coding experience
11 years of employment as a software developer
Bilgisayar Programlama, Bilgisayar Programlama at Bandırma Onyedi Eylül University
önlisans, İşletme ve Yönetim, Genel, önlisans, İşletme ve Yönetim, Genel at Beykent University
3.61, Matematik, 3.61, Matematik at Üsküdar Cumhuriyet lisesi
İngilizce, German, Turkish