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Open Source Systems & Utilities•Native macOS

Open Source Projects & Architecture Notes

Open-source native applications, high-performance systems engineering, and architectural notes focused on privacy-first computation and zero-knowledge guarantees.

AG

Akshay Kr Gupta

Senior Solutions Architect & Founder
“Designing enterprise systems for regulated environments — where architecture, AI, and governance intersect. Open to interesting architecture conversations & collaborations.”
Personal Website•Architecture Notes•GitHub•LinkedIn

Technical Architecture Notes

Essays on enterprise systems design, AI governance, and distributed computing.

Read Architecture Notes

In-depth technical publications covering enterprise architecture in regulated environments, Model Context Protocol (MCP) integrations, high-throughput microservices, and AI compliance governance.

Enterprise ArchitectureModel Context Protocol (MCP)Distributed SystemsAI GovernanceCloud Native & Kubernetes

Featured Native Projects

Engineered natively with Swift, SwiftUI, and Apple Frameworks for 100% offline privacy.

TwinPixCleaner

v2.2.0Apache 2.0

AI-Powered Visual Duplicate & Similar Photo Cleaner for macOS

ReleasesView Repository

A native macOS utility built with SwiftUI and Apple Vision Intelligence that accurately detects duplicate photos, visually similar shots, burst series, and edited screenshots without uploading a single pixel to the cloud.

Technology Stack & Frameworks

Swift 6.0SwiftUIApple Vision Framework (Rev2)Accelerate SIMD (vDSP)PhotoKitAppKit

Key Features & Capabilities

  • •Dual Scanning Engines: Pure SHA-256 binary hash matching and Apple Vision ML feature prints.
  • •Transitive Union-Find Clustering powered by Accelerate SIMD vector distance math (vDSP_distancesq).
  • •Native Apple Photos integration via PhotoKit to securely inspect your entire iCloud library.
  • •Persistent on-disk similarity cache for lightning-fast incremental subsequent scans.
  • •Interactive Skipped Files Inspector sheet with search, categorizations, and clipboard export.
  • •Safe non-destructive deletion with macOS Trash / Recently Deleted integration and ⌘Z instant Undo.
  • •Native Quick Look (Spacebar) preview, keyboard shortcuts, and full VoiceOver accessibility.

System Architecture Highlights

  • High-performance ML feature extraction running locally on Apple Neural Engine / GPU.
  • Zero-allocation SIMD vector math for clustering thousands of photo embeddings in milliseconds.
  • Zero telemetry, zero external network calls — 100% offline privacy guarantee.
Build from source
# Clone & build native release
git clone https://github.com/AkshayKrGupta/TwinPixCleaner.git
cd TwinPixCleaner
swift build -c release
./.build/release/TwinPixCleaner

NanoPress

v1.0.0Apache 2.0

Private, Local-Only Parallel Batch Compressor for Images & PDFs

ReleasesView Repository

A lightning-fast native macOS utility built with SwiftUI and Swift Concurrency to compress JPG, PNG, HEIC, TIFF images, and PDF documents locally on your device with zero cloud uploads.

Technology Stack & Frameworks

Swift 5.9+SwiftUISwift Concurrency (Actors, TaskGroup)CoreGraphicsImageIOPDFKit

Key Features & Capabilities

  • •100% Local Processing: Zero cloud uploads, zero tracking, and zero latency.
  • •Multi-Format Image Compression: Supports JPG, PNG, HEIC, and TIFF with custom quality sliders.
  • •Dual-Engine PDF Optimization: Standard mode for sharp quality and Aggressive mode for maximum size reduction.
  • •High-Throughput Parallel Batch Engine: Uses Swift Actors and Task Groups to process hundreds of files concurrently.
  • •Live Size Savings Preview: Inspect before-and-after byte reductions before committing.
  • •Drag-and-Drop Workflow: Seamless drag-and-drop ingestion with adaptive Light and Dark mode.

System Architecture Highlights

  • Actor-isolated pipeline preventing thread race conditions during heavy multi-core batch compression.
  • Direct CoreGraphics and ImageIO pipeline for memory-efficient streaming without buffering entire archives.
  • Native Swift Package Manager architecture with clean MVVM separation.
Build from source
# Clone & open in Xcode
git clone https://github.com/AkshayKrGupta/NanoPress.git
cd NanoPress
open Package.swift

Editorial Disclaimer & Copyright

The technical analyses, design patterns, and opinions expressed in this publication are solely my own and do not represent the views, positions, or strategies of my employer or clients.

© 2026 Akshay Kr Gupta. All rights reserved. Original content and architecture diagrams may not be reproduced without explicit attribution and backlinks.

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