class AIEngineer:
def __init__(self):
self.name = "Leonardo Lawrence"
self.role = "AI Engineer & Research Scientist"
self.education = "Ph.D. Computer Science (Big Data)"
self.passion = "Building AI that solves real problems"
def current_focus(self):
return [
"Deep Learning Architectures",
"Supply Chain Optimization",
"Generative AI Systems",
"Predictive Analytics"
]
def achievements(self):
return {
"patents": 2, # U.S. Patent Pending
"publications": 6, # Peer-Reviewed
"certifications": ["AI Engineer", "Sr. Data Scientist"]
}|
Python |
PyTorch |
TensorFlow |
Scikit-learn |
R |
MATLAB |
AWS |
GCP |
|
C++ |
🤗 HF |
Docker |
PostgreSQL |
MongoDB |
Linux |
Git |
VSCode |
| 🤖 Machine Learning | 🧬 Deep Learning | 📊 Data Science | ☁️ MLOps |
|---|---|---|---|
| Linear/Logistic Regression | CNN / RNN / Transformers | Statistical Modeling | Model Deployment |
| SVM & Decision Trees | Natural Language Processing | Data Visualization | Pipeline Automation |
| Random Forest / XGBoost | Generative AI (LLMs) | Predictive Analytics | Cloud Infrastructure |
| K-Means & Clustering | Computer Vision | Big Data Processing | CI/CD for ML |
|
🏆 AI-Driven Supply Chain Optimization
🏆 Multilayer Cognitive AI System
|
📄 Context-Aware Adaptive Encryption 📄 Deep Learning for Autism Prediction 📄 LLMs in Business Applications 📄 ML in Healthcare: Breast Cancer Screening |
