Building intelligent systems, training AI models, and reviewing code at scale

Senior AI/ML Engineer & Full-Stack Developer specializing in artificial intelligence, machine learning model development, algorithmic systems, and technical code review. I bridge the gap between cutting-edge AI research and production-ready applications, with expertise in training language models, evaluating AI systems, and building scalable ML infrastructure.

Currently contributing to the AI revolution through model training, prompt engineering, code review, and building intelligent automation systems.

• 💬 Ask me about AI/ML, Python, model training, and the technologies listed here
• 🤖 AI Model Training & Evaluation | Code Review & Quality Assurance
• 🧠 Building production ML systems and intelligent trading algorithms
• 📊 Expertise in data annotation, RLHF, and model fine-tuning
• 😄 Pronouns: He/Him

• Email: franklinmayoyo3@gmail.com
• Website: Mayoyo
• Twitter: FranklinMayoyo
• LinkedIn: FranklinMayoyo
• Hashnode: Dev++
• Medium: Franklin Mayoyo

• AI Model Training: Fine-tuning LLMs, RLHF, prompt engineering, and model evaluation
• Code Review & Quality Assurance: Expert-level code analysis, debugging, and technical assessment
• Data Annotation & Labeling: High-quality dataset curation for supervised learning
• Model Evaluation: Testing AI systems for accuracy, bias, safety, and performance
• Prompt Engineering: Optimizing AI interactions and building reliable prompt chains
• AI Red Teaming: Adversarial testing and safety evaluation of AI systems

• Full-Stack Development: End-to-end applications with React, Node.js, Python, and TypeScript
• ML Pipeline Development: Production-ready ML systems from data to deployment
• Algorithmic Trading: Quantitative systems with ML-powered prediction models
• API Development: RESTful and GraphQL APIs with ML model integration
• Cloud ML Infrastructure: Scalable AI/ML deployments on AWS and cloud platforms

• Training and fine-tuning large language models (LLMs)
• Reinforcement Learning from Human Feedback (RLHF)
• Prompt engineering and chain-of-thought optimization
• AI code generation and review systems
• Natural Language Processing (NLP) and computer vision
• Automated testing and validation of AI outputs

• Python code architecture and best practices
• Algorithm optimization and performance analysis
• Security vulnerability assessment
• Testing strategy and code quality metrics
• Technical documentation review

• LLM Fine-Tuning Pipeline: End-to-end system for training and deploying custom language models
• AI Code Review Assistant: Automated code analysis tool using GPT-4 for quality assessment
• RAG-Based Document Q&A: Production-ready retrieval system with vector embeddings
• ML Trading Algorithms: Quantitative models using deep learning for market prediction
• Sentiment Analysis Engine: Real-time NLP system processing market sentiment data

• Python Best Practices Analyzer: Automated tool for code quality assessment
• Algorithm Optimization Suite: Performance testing and optimization toolkit
• Testing Framework: Comprehensive unit and integration testing systems

• Fine-tuning transformer models (BERT, GPT, T5, LLaMA)
• Supervised and unsupervised learning implementations
• Model performance metrics and A/B testing
• Dataset curation and quality control
• Bias detection and fairness evaluation

• Python: Advanced patterns, type hints, async programming, performance optimization
• JavaScript/TypeScript: Modern ES6+, React patterns, Node.js architecture
• Algorithms: Time/space complexity, optimization strategies, data structures
• ML Code: Model architecture, training loops, data pipelines, inference optimization
• Security: Vulnerability assessment, secure coding practices, input validation

• Algorithm problem-solving evaluation
• System design review and scalability assessment
• Code quality metrics and maintainability analysis
• Testing coverage and strategy evaluation
• Documentation quality and API design review

Actively seeking:

• AI Model Training & RLHF Projects
• Code Review & Technical Assessment Roles
• ML Engineering Consulting
• AI Safety & Evaluation Work
• Prompt Engineering & LLM Integration
• Data Annotation & Quality Control

Available for:

• Contract/Freelance AI Training Work
• Technical Code Review (Python, JavaScript, ML)
• ML System Architecture Consulting
• AI Product Development
• Educational Content Creation

Let's build the future of AI together! Open to collaboration on machine learning projects, AI training initiatives, and innovative technical solutions.