class MLEngineer:
def __init__(self):
self.name = "Adeyemo Favour"
self.role = "Applied ML Engineer"
self.location = "Nigeria 🇳🇬"
self.education = "B.Sc Computer Science @ University of Ibadan"
def current_focus(self):
return [
"Building autonomous AI agents",
"Production-grade CV & NLP systems",
"Model optimization & deployment"
]
def philosophy(self):
return "I don't just build models that work in notebooks — I build systems that thrive in production 🚀"| Role | Organization | Focus Area |
|---|---|---|
| AI Engineer | Gesture AI | Computer Vision • Model Optimization • Edge Deployment |
| ML Engineer | Octave Inc | LLM Agents • FastAPI • Production Systems |
| Technical Lead | AISOC | Workshops • Community Building • Knowledge Transfer |
🐍 Languages & Core
🧠 ML & Deep Learning
🚀 MLOps & Deployment
🤖 LLM & Agents
PyTorch CNN for automated brain tumor detection from MRI scans. Implements 4-class classification with confusion matrix visualization. 
|
LoRA fine-tuned DistilBERT for efficient sentiment analysis. Achieves 40% smaller memory footprint than BERT-base. 
|
MobileNetV2 image classification deployed as interactive Streamlit app. Optimized for edge deployment. 
|
Autonomous data analyst agent processing 100K+ row datasets. Generates strategic PDF reports & dynamic visualizations. 
|
| 🎓 | B.Sc Computer Science | University of Ibadan | Expected 2027 |
| 📜 | Introduction to Deep Learning | MIT 6.S191 | ✅ Completed |
| 📜 | Supervised Learning | Coursera (Classification & Regression) | ✅ Completed |
⭐ From BLVCK-MAMBA-6