class Developer:
def __init__(self):
self.name = "Au Amores"
self.role = "AI/ML Engineer | Software Developer"
self.location = "Chicago, IL"
self.focus = ["Computer Vision", "ML-Driven Security", "Deep Learning"]
self.currently = [
" CNN-based Image Processing",
" ML-driven Security Systems",
" Real-time Prediction Pipelines",
" Learning Guides & Roadmaps",
]
self.open_to = "Freelance projects & collaborations "
def say_hi(self):
print("Thanks for visiting! Let's build something amazing together ")
me = Developer()
me.say_hi()
# Output: Thanks for visiting! Let's build something amazing together 🚀
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AI-powered facial analysis using CNN, SVM, and hybrid models Detecting alcohol intoxication from facial images with complete computer vision pipeline. Achieved 98.4% accuracy through advanced feature extraction and model comparison. |
ML-powered system for detecting phishing & malicious URLs URL threat-classification system using multiple ML algorithms—Random Forest, XGBoost, and SVM—to detect and categorize malicious web links with high accuracy. |
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Real-Time Phishing Detection System Advanced security app leveraging NLP to detect and classify phishing messages in real-time. Built with Android frontend and Python Flask backend for instant risk assessment. Achieved 98.4% accuracy in identifying malicious communications. |
NLP-powered spam classifier with real-time text analysis Machine learning-based spam classifier using NLP techniques including TF-IDF vectorization and Naive Bayes classification to accurately identify spam messages. |
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Token-based authentication backend built with Flask and JWT Secure user registration, password hashing with bcrypt, login validation, and protected API routes using Bearer tokens. Complete implementation of modern authentication best practices. |
ML-powered security tool that classifies SQL queries Security-focused project demonstrating SQL injection vulnerabilities and detection. Features a Flask API backend with a real-time web interface for testing injection payloads. |
Comprehensive beginner-to-advanced cybersecurity guide
A structured learning path featuring:
- Curated resources and tools
- Hands-on labs and projects
- Clear progression from basics to advanced topics
- Industry-relevant skills and certifications