Jaleel Akbashev
About Jaleel Akbashev
Jaleel Akbashev is a Senior Software Engineer with extensive experience in software development and mentoring. He has contributed to various projects, including creating a declarative UI framework and integrating machine learning for image classification.
Work at Holidu
Jaleel Akbashev has been employed at Holidu as a Senior Software Engineer since 2018. In this role, he has contributed to various projects, focusing on delivering full-stack features using Java, Typescript, and Swift. His responsibilities include maintaining a Swift backend with Vapor, which supports the rapid delivery of critical features. Additionally, he has configured the CI/CD process for the iOS app, automating build creation for testing and App Store deployment.
Previous Experience as a Lecturer
From 2014 to 2016, Jaleel Akbashev worked as a Part-time Lecturer at the British Higher School of Art and Design in Moscow, Russia. During his two years there, he shared his knowledge and expertise in software development with students, contributing to their education in the field.
Experience at Redmadrobot
Jaleel Akbashev served as an Android Developer at Redmadrobot from 2013 to 2015. In this position, he introduced and presented concepts such as Functional Programming and Trunk Based Development at an internal tech fest. He also mentored a colleague, helping them achieve a Senior Developer position, and implemented a software design proposal that resulted in a low crash rate, achieving 99-100% crash-free users for the app.
Education and Expertise
Jaleel Akbashev earned a Master's degree in Computer Science from Bauman Moscow State Technical University, where he studied from 2007 to 2013. His educational background has provided him with a solid foundation in software engineering principles and practices, which he has applied throughout his career.
Technical Contributions and Achievements
Throughout his career, Jaleel Akbashev has made significant technical contributions. He created an internal declarative UI framework that mimicked the SwiftUI API, facilitating the transition of existing views to SwiftUI. He also led the modularization of the codebase using Swift Package Manager, reducing build times by 25% and enhancing collaborative work. Additionally, he integrated machine learning with CoreML for image classification, which was successfully tested and implemented.