Building production-grade mobile systems and AI-powered applications.
_{iOS · Android · On-device AI · Streaming Systems}

I build mobile systems that handle real-world complexity —
and integrate AI where it actually improves the experience.

• Architect scalable iOS + Android apps
• Build high-performance UI systems
• Design streaming-first experiences
• Run LLMs on-device when it matters

LLM infrastructure for Swift (mobile-first)

• Provider-agnostic (OpenAI / Claude / local)
• Streaming-first design
• Built for mobile constraints

🔗 https://github.com/av-feaster/swiftlangchain

On-device AI runtime for Android

• Runs GGUF / llama.cpp models locally
• No API dependency
• Optimized for mobile performance

🔗 https://github.com/av-feaster/axiom

Wisdom, Redefined.

Short-form ideas. No noise.
Built for speed, clarity, and effortless consumption.

📦 Coming Soon · Google Play

• Performance first (latency, memory, smooth UX)
• Streaming > blocking
• Systems should work under real constraints
• AI is a tool — not the product

Mobile

• Swift (UIKit, SwiftUI)
• Kotlin (Android, Jetpack)
• Combine, AVFoundation
• RecyclerView / UICollectionView

AI

• OpenAI, Claude APIs
• Local LLMs (GGUF / llama.cpp)
• Streaming + prompt pipelines

Backend (working knowledge)

• Golang (basics)
• Kotlin SpringBoot (exposure)

      <a href="https://medium.com/@breakwithlimits/understanding-context-in-android-when-to-use-it-and-why-it-matters-76ed16d8c2b3?source=rss-2d21a7f41a8b------2">

Working on something serious in mobile or AI?

I’m interested in:

• AI-powered mobile apps
• On-device inference systems
• High-performance mobile experiences

If that’s you → email me with context

→ a4amanver15@gmail.com

Build systems, not demos.
Optimize for real-world constraints.
Use AI where it actually matters.