Looking for Artifical Intellgence Expert for Large Post-Quantum Financial Security Project -- 2

Code is already written; we need expert to debug, fix errors, and validate results.


Task 1: Debug Existing Codebase

Fix runtime errors in implemented code
Resolve any integration issues between components
Ensure proper data flow between models
Debug CRYSTALS-Kyber integration
Fix any memory or performance issues
Correct error handling
Resolve dependency conflicts

Task 2: Comprehensive Validation Report
Must include analysis of:
Model Performance Results:

Fraud detection accuracy rates
False positive/negative ratios
Quantum operation timing metrics
Privacy preservation effectiveness
Adversarial robustness scores

Result Validation:

Verify if detection rates are realistic for financial systems
Confirm if cryptographic timing aligns with expected ranges
Ensure privacy metrics meet industry standards
Validate if ensemble improvement is statistically significant

Required Skills:

Strong debugging experience in PyTorch/Python
Ability to validate ML model results
Understanding of financial security metrics
Experience with cryptographic systems
Experience with LSTM and Isolation Forest

Note: All code implementation is complete - this is purely a debugging and validation role. The expert will be working with existing codebase to ensure proper functionality and result validation. Work to strict and rapidly approaching deadline.

Thanks for reading