class SoftwareEngineer:
def __init__(self):
self.name = "Herbert Kwame Yeboah"
self.role = "Software Engineer & AI/ML Developer"
self.location = "Ghana π¬π"
self.education = "BSc Computer Science - UENR (2024)"
self.current_focus = "AI-powered Solutions for Real-World Impact"
def get_skills(self):
return {
"languages": ["Python", "TypeScript", "JavaScript", "SQL", "C++", "Java"],
"ai_ml": ["TensorFlow", "Keras", "Scikit-learn", "NumPy", "Pandas"],
"web": ["Next.js", "React", "Node.js", "Flask", "Tailwind CSS"],
"cloud": ["Google Cloud", "Firebase", "Docker", "Railway"],
"databases": ["PostgreSQL", "MongoDB", "Redis", "Firestore"]
}
def get_certifications(self):
return [
"ALX Africa - AI Career Essentials (2024)",
"ALX Africa - Software Engineering (2024)",
"Udemy - SQL Masterclass (2024)"
]
me = SoftwareEngineer()π Based in Ghana π¬π | π BSc Computer Science (2024)
I am a Software Engineer & AI/ML Developer passionate about transforming complex ideas into production-ready code. My foundation blends high-performance software engineering with expertise in Machine Learning, allowing me to build end-to-end intelligent systems that solve real-world problems and make life better through technology.
π¬ DermaVision AIAI-Powered Skin Disease Classification System Deep learning platform democratizing dermatological care across Africa using advanced neural networks. Technical Highlights:
|
π° FrankensteinAlgorithmic Trading & Risk Management Engine Production-ready system demonstrating advanced mathematical optimization and real-time data processing. Technical Highlights:
|
| π Credential | ποΈ Institution | π Year |
|---|---|---|
| BSc Computer Science | University of Energy & Natural Resources | 2024 |
| AI Career Essentials | ALX Africa | July 2024 |
| Software Engineering | ALX Africa | June 2024 |
| SQL Masterclass | Udemy | 2024 |
Python 12 hrs 45 mins ββββββββββββββββββ 45.2%
TypeScript 8 hrs 30 mins ββββββββββββββββββ 30.1%
JavaScript 3 hrs 15 mins ββββββββββββββββββ 11.5%
SQL 2 hrs 10 mins ββββββββββββββββββ 7.7%
Other 1 hr 30 mins ββββββββββββββββββ 5.5%