Developed and maintained the BlackVue mobile application for iOS as a freelance mobile developer.
Implemented and maintained key features including Wi-Fi Direct communication, live view streaming, video playback, cloud integration, authentication, and App Store releases.
Technologies: Swift, Objective-C, BLE, REST API, Wi-Fi Direct, Apple Sign In, Google Sign-In, SQLite
Pay-once day planner for iPhone, iPad, Watch and Mac:
- New UI and D / W / M / Y zoom slider
- New Library
- Native split layout for iPhone Duo
- On-device SiriAI for charts and day planning
- Tasks, events, habits, notes, voice memos, photos and places on one timeline
Professional Mobile App Developer | Available for Projects
I help businesses, startups, and entrepreneurs transform their ideas into high-quality mobile applications.
As a Web and Mobile App Developer, I focus on building modern, user-friendly, reliable, and scalable digital solutions tailored to each client's needs.
My Services
Custom Mobile App Development
Android and iOS App Solutions
UI/UX Design and User Experience Optimization
API Integration and Backend Development
Database Integration and Secure Authentication
E-commerce and Business Applications
Bug Fixing, Performance Optimization, and Maintenance
Why Work With Me?
Clean and maintainable code
Professional communication
Attention to detail and quality
Business-focused development solutions
Commitment to deadlines and client satisfaction
Whether you are launching a startup, developing an MVP, expanding your business, or looking for a reliable development partner for your agency, I am ready to help turn your vision into reality.
I am available for remote projects and international collaborations.
Have a project in mind? Let's connect and discuss how we can build something exceptional together.
Wildmuse.app is An AI dream journal. You describe a dream, and the app interprets it through Jungian archetypes, building your personal archetype profile over time.
I took it from idea to a live iOS app: product, design, build, and AI evals to keep the interpretations consistent and safe. A beta test with over 100 users showed that onboarding was the biggest drop-off risk, and that finding shaped the next version.