- Reinforcement Learning for Dynamic Pathfinding in Autonomous Last-Mile Delivery.
I'm a dedicated Software Engineer currently pursuing a Master's in Artificial Intelligence at Dublin Business School (Expected Distinction, 2025). I previously worked at Flutterwave, a fintech unicorn, where I built real-time scalable services and led critical system migrations.
My passion lies in building robust distributed systems, AI-powered applications, and graph-based recommendations.
- Languages: Java, Python, C#, JavaScript
- Frameworks: Spring Boot, Flask
- Cloud & DevOps: AWS (Lambda, EC2, SQS, SNS), Docker, Kubernetes, Jenkins
- Data & Monitoring: Kafka, Elasticsearch, Neo4j, MySQL, Kibana, Datadog
- AI/ML: TensorFlow, OpenAI Gym, MLflow
- Practices: Microservices, Test-Driven Development, Git, Agile
Reinforcement learning-based retail price optimizer
- Built a TD3-based agent using a custom OpenAI Gym environment
- Boosted simulated annual revenue from €167,000 to €280,000
- Led a 4-person team; compared performance with Q-learning baseline
Graph-based tweet and follower recommendation engine
- Modeled user interactions with Neo4j
- Applied PageRank, Betweenness Centrality, Label Propagation
- Deployed REST API with Flask for real-time recommendations
- Email: olasubomiodekunle@gmail.com
- LinkedIn: olasubomiodekunle
- GitHub: github.com/olasubomi4