🚀 Mobile
• 🌐 Web
• 🔧 Embedded
• 🔒 Security
• 🤖 AI/ML
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Building at the intersection of mobile, web, and embedded systems
I operate across every possible edge and node.
- Ship first, optimize later - But make it modular so you can swap parts without breaking everything
- Automate workflows
- From node-starter with scenario-specific branches
- To publishing tools like structured-prompts on PyPI.
- App Store Icon Pipelines, App Store Connect API wrapper, Xcode Mcp, etc
- Planning
- Find arbitrage everywhere - Whether it's discovering that 65% of Denmark uses iOS or rotating through free GPU tiers
- Composable EVERYTHING - from Next.js + Vite monorepo experiments where each framework does what it does best, to finding the cheapest GPU compute by orchestrating spot instances and free tiers.
- Resources I ship with - Tailscale, Uptime Kuma, Doppler
CaringMind (v0.0.0)
AI companion app providing advocacy, augmentation, and enhancement. Your personal AI that actually cares.
CleanShots – Remove Photo Info (v1.1.01)
Privacy-focused photo metadata removal tool. Because your photos shouldn't tell everyone where you've been.
Notes: This has been a humble start, and educating into the current ASO market; see iOS Localization & Cultural Branding Architecture
SleepLoops (v1.0.0)
90-minute sleep cycle optimizer. Wake up sharp by harnessing your natural sleep rhythms.
ai-proxy-core (v0.4.43)
Minimal, reusable AI service handlers for Gemini and other LLMs. The universal proxy layer mentioned above.
- Providers: openai • google • ollama
- Services: Unified post requests, websockets, unique provider features (image generation)
structured-prompts (v0.1.1)
A modular package for managing structured prompts with any LLM API. Makes LLM interactions predictable and testable.
What if your phone camera could read your vitals as accurately as medical equipment?
The technology exists. VitalLens charges $X/month. Meta's tech is locked in smart glasses. It works. But it's locked behind paywalls and proprietary APIs. This project aims to change that
we created a for real-time self-classification framework and demo'd to andrej karpathy
- Sleeploops and other ios apps
- Flux LoRA models feature trainings
- hardware sdks
Platform | Link | Best For |
---|---|---|
🐦 X/Twitter | @innitEBOWWA | Updates & thoughts |
🤗 Hugging Face | huggingface.co/ebowwa | AI/ML models |
🦙 Ollama | ollama.com/ebowwa | LLM experiments |
💬 GitHub | @ebowwa | Open source collabs |