class DataEngineer:
def __init__(self):
self.name = "Evance"
self.role = "Data Scientist & Backend Developer"
self.focus = ["Machine Learning", "Scalable Systems", "AI Agents"]
self.current_mission = "Building intelligent data pipelines"
def get_tech_stack(self):
return {
"languages": ["Python", "JavaScript", "SQL"],
"ml_frameworks": ["PyTorch", "TensorFlow", "Scikit-learn", "Pandas"],
"backend": ["Node.js", "FastAPI", "Django", "PostgreSQL", "MongoDB"],
"cloud": ["AWS", "Docker", "Kubernetes"],
"interests": ["Deep Learning", "NLP", "Computer Vision", "MLOps"]
}Deep Diving Into: Neural Networks, Transformer Architectures, and Large Language Models
Building: Scalable backend systems for ML model deployment
Exploring: Advanced data engineering pipelines and real-time analytics
Experimenting With: AI Agents and autonomous systems
Data Science & ML
Python • PyTorch • TensorFlow • Scikit-learn • Pandas • NumPy • Jupyter
Backend Development
FastAPI • Django • Node.js • Express • RESTful APIs • GraphQL
Databases & Tools
PostgreSQL • MongoDB • Redis • Docker • Git • Linux
Cloud & DevOps
AWS • Azure • CI/CD • Kubernetes • Microservices
Open to collaborating on:
- Data Science Projects: ML models, data pipelines, analytics
- Backend Systems: APIs, microservices, scalable architectures
- AI/ML Applications: NLP, computer vision, recommendation systems
- Open Source: Contributing to impactful projects
- 💼 LinkedIn: Evance Odhiambo
- 📧 Email: evanceotis365@gmail.com