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self1am/README.md

Hanafe Mira

Systems Engineer · Security-First Architecture · ML Research → Production

I build systems that hold under adversarial conditions.


Engineering Axes

🧱 Trust Boundary Engineering
Native mobile security · Hardware-backed biometrics · Hostile client assumptions

🔒 Security as Architecture
Attack model reasoning · Cryptographic defenses · Fintech compliance

🧠 Research → Production
Federated Learning · Adversarial ML defenses · Quantum-classical hybrids

🔧 Scalable Systems
TypeScript-first · Type safety by default · Modular design for longevity


Patterns

Pattern Signal
Hostile client assumption Security thinking
Hardware-backed trust Platform depth
Research → deployment Beyond tutorials
Type safety as default Long-term codebases

Featured

🔐 Biometric auth with hardware trust
🧠 Federated Learning + adversarial defense
🚗 Neural network autonomous agents
📱 Native-bridged mobile systems


Stats

Stats


Connect: LinkedIn · Portfolio · miraahanafee@gmail.com

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  1. FL_CognitiveDefence FL_CognitiveDefence Public

    A research framework for stateful, cognitive-inspired defenses against adaptive poisoning attacks in federated learning.

    Python 2 1

  2. VirtualWorld VirtualWorld Public

    JavaScript

  3. biomark biomark Public

    Dart 1

  4. rn-release rn-release Public

    release react native apks

    JavaScript

  5. scrape-flow scrape-flow Public

    TypeScript

  6. hoaphantn7604/react-native-element-dropdown hoaphantn7604/react-native-element-dropdown Public

    A react-native dropdown component easy to customize for both iOS and Android.

    TypeScript 1.3k 204