👋 Moses Kiprono | AI & Data Engineering Scholar

🎯 Current Focus

Graduate Scholar at The Catholic University of America
Pursuing MS in Computer Engineering | Data Analytics Concentration
📍 Washington, DC | 🔗 LinkedIn

moses = { "expertise": ["AI/ML", "Medical Imaging", "Data Engineering", "Cloud Computing"], "certifications": 60, "languages": ["Python", "SQL", "R", "JavaScript", "Chinese", "Kiswahili"], "tools": ["TensorFlow", "PyTorch", "AWS", "Azure", "Tableau", "SPSS"], "interests": ["Deep Learning", "Computer Vision", "Healthcare AI", "Ethics in AI"] }

🎖️ Certifications & Achievements

AI & Machine Learning

• Microsoft Azure AI Engineer | Advanced AI implementations
• AWS Machine Learning Specialist | Cloud-based ML solutions
• CompTIA Data+ Certified | Data analysis and management
• 60+ AI/ML Certifications | Microsoft, AWS, Oracle, Databricks

Publications

• "Mathematical Analysis of Hallucination Dynamics in LLMs" | Peer-reviewed
• "Multimodal Medical Imaging for Ocular Disease Recognition" | Deep learning research

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🛠️ Technical Proficiency

Core Technologies

Data & Analytics

Cloud & DevOps

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📊 Current Projects

🔬 Medical Imaging AI

• Ocular Disease Classification | 92%+ accuracy on retinal images
• Multimodal Integration | Fundus photography + OCT analysis
• DICOM Processing Pipeline | Healthcare-compliant workflows

🤖 AI Training & Evaluation

• LLM Reliability Research | Hallucination detection and mitigation
• Adversarial Testing Frameworks | 150+ test scenarios developed
• Multi-agent AI Systems | Collaborative workflow evaluation

📈 Data Engineering

• Cloud Migration Projects | Healthcare data digitization
• Real-time Analytics Dashboards | Tableau + Python integration
• Statistical Modeling | SPSS-based research analysis

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🌍 Impact & Volunteering

Current Roles

• Social Media & SEO Manager @ Kakenya's Dream (Volunteer)
• Data Analyst Volunteer @ Non-profit Organizations
• Open to Volunteer for: Disaster Relief, Education, Healthcare, Technology Access

Causes I Support

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🎯 What I'm Learning

Advanced Topics

• Deep Learning Architectures | ResNet, U-Net, Vision Transformers
• Statistical Modeling | Bayesian methods, Time series analysis
• MLOps | Model deployment, monitoring, and versioning
• AI Ethics | Bias detection, fairness in ML, responsible AI

Current Courses

• CompTIA Cloud+ Intermediate | Cloud infrastructure mastery
• Advanced Deep Learning | Neural architecture search
• Healthcare AI Applications | Medical device integration

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🤝 Let's Connect

Professional Networks

Open To

• Collaboration on AI/ML projects
• Mentorship opportunities
• Research partnerships
• Volunteer technology initiatives

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⚡ Fun Facts

• Languages: Fluent in Kiswahili, Simplified Chinese, and Python 😄
• Philosophy: I build models that don't just predict — they explain, learn, and inspire action
• Superpower: Turning messy datasets into meaningful insights
• Current Obsession: Making AI more reliable and explainable in healthcare

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📊 GitHub Stats

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📬 Get In Touch

Ready to collaborate? Let's build something amazing together!

"Data is not just numbers — it's stories waiting to be told, insights waiting to inspire, and solutions waiting to be discovered." - Moses Kiprono

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