Eyitayo Ayodeji
AI Engineer & Full-Stack Developer
Ready for work
Eyitayo is ready for their next project!
Global Gateway:
I built a scalable payment processing platform designed to handle multi-currency transactions with high reliability and real-time performance. The system uses a microservices architecture with strong fault isolation and efficient event-driven communication.
- Distributed services for transaction processing, currency conversion: and fraud detection
- Kafka-based event streaming for reliable payment workflows
- Containerized microservices deployed on Kubernetes with CI/CD automation
- Optimized performance using PostgreSQL and Redis
This project shows my ability to build reliable, scalable backend systems using microservices, event-driven architecture, and cloud deployment best practices.
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Quantum Optimizer — AI-Powered Algorithm Recommendation Engine
I designed a multi-agent AI system that analyzes computational complexity and recommends optimized algorithms for quantum and classical tasks, including finance and molecular discovery.
What I Built:
- Agentic AI workflow using LangChain and Amazon Bedrock AgentCore
- AWS Bedrock Nova + Braket integration for quantum simulation and model reasoning
- Algorithm scoring and ranking pipeline based on resource estimation
- End-to-end system that converts problem definitions into executable solutions
This project demonstrates my experience building AI agent systems, integrating LLMs, and designing intelligent automation tools.
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SocialPlay is a real-time mobile platform that lets users discover new games through short, interactive gameplay sessions. Think "try before install" with live shared play.
What I Built
- Low-latency game streaming using WebRTC (<200ms)
- Redis-backed matchmaking and scalable session management
- Backend services built in Java and Spring Boot
- Mobile client interfaces built with React Native + Android SDK
This project shows my ability to engineer real-time systems, optimize streaming performance, and build full-stack platforms that combine distributed backends with mobile experiences.
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Dream Team Assembler: Multi-Agent AI System for Intelligent Team Matching
I built a multi-agent AI platform that analyzes project briefs, evaluates developer skill sets and simulates team dynamics to automatically assemble the strongest engineering teams for any technical challenge.
- Agentic AI workflow using Python + Google ADK
Coordinator and specialist agents for role analysis, skill verification and compatibility modeling.
- GitHub intelligence pipeline:parse repositories, extract tech stacks, evaluate code quality, and infer contributor strengths.
- LLM-driven behavioral analysis to predict collaboration fit and problem-solving synergy.
- FastAPI backend deployed on Google Cloud.
This project showcases my ability to build Agentic AI systems, integrate external developer data and model human-centric decision logic.
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