I can be involved across the whole process — from idea to launch, and from launch to growth. I'm available for freelance projects and long-term collaborations.
Mobile App Development
App development for iOS and Android, either native (Swift, Java, Kotlin) or with Flutter.
The full process, from idea to App Store / Play Store release. Alongside building from scratch,
supporting apps that are already live makes up a large part of my
freelance work.
Native iOS & Android
Adding features and fixing bugs in existing apps
Backend and database with Firebase / Supabase
App Store / Play Store releases and resolving store rejections
In-app purchases & ad integration
Post-release maintenance and updates
Website Development
Corporate sites, personal brands and e-commerce. No off-the-shelf themes — hand-coded sites
that are fast, mobile-friendly and search-engine ready.
Corporate & personal brand sites
E-commerce infrastructure
Mobile-first, fast and accessible
Delivered together with technical SEO
SEO & Search Visibility
Technical groundwork, content strategy and regular reporting so your site can be found on Google.
I currently run SEO for 2 brands.
Technical SEO audit
Keyword research
Search Console & Analytics setup
Content plan and regular reporting
Digital Marketing & Social Media
If your product is live but nobody hears about it, the job isn't done. Content production, social
media management and app store optimisation.
Social media management
Content and visual production (Canva, Photoshop, CapCut)
ASO — app store optimisation
Brand identity and tone of voice
Hardware & Embedded Systems
I got into software through Raspberry Pi and Arduino. I can build systems that read
sensor data, turn it into a meaningful result and raise an alert when needed.
Prototyping with Raspberry Pi and Arduino
Sensor circuits, GPIO and serial communication
Reading and filtering sensor data with threshold-based alerts
Connecting hardware to a mobile app
Data collection and processing with Python
R&D & Feasibility Studies
Before turning an idea into code, some questions need answering: is it technically feasible,
what data does it need, where is the hard part? I have carried out this work in seven different areas.
Problem analysis and technical solution architecture
Computer vision and image classification approaches
On-device model inference (LiteRT, Core ML)
Geospatial data, maps and offline-first architecture