Hi there! I'm Babatunde O. Owoeye, a passionate RAG | LLMOps | MLOps Engineer with deep expertise in Machine Learning and a proven track record of delivering impactful AI-driven solutions.

🌟 My mission is to bridge the gap between cutting-edge AI research and real-world applications, crafting scalable, reliable systems that make a difference.

With years of experience in AI and Machine Learning, I specialize in merging business problems with ML systems through:

• Retrieval-Augmented Generation (RAG): Building intelligent systems that integrate state-of-the-art LLMs with domain-specific knowledge bases to deliver context-aware insights.
• MLOps: Architecting scalable pipelines to streamline model development, deployment, monitoring, and retraining.
• LLMOps: Engineering the infrastructure to unlock the full potential of large language models for enterprise use cases.
• Machine Learning: Designing and implementing predictive models that solve complex business challenges.

• Trading Bot
  An AI-enhanced trading signal system for cryptocurrencies, featuring real-time analysis, multi-platform delivery, and automation.

  • 🚀 Result: Delivered highly accurate trade signals with a streamlined user experience.

• Medical AI Agent
  A Retrieval-Augmented Generation system that empowers doctors with faster and more accurate diagnoses by processing complex medical records.

  • 💡 Impact: Revolutionized diagnostic efficiency for healthcare professionals at TauSpan.

• Deployed RAG Systems for healthcare and finance.
• Integrated LLMs seamlessly into production environments with millions of users.
• Recipient of Shells Energy 2022 | AI Qualification Bootcamp(2021 & 2023), recognizing my innovation in AI solutions.

I believe AI is not just a tool—it’s a partner that can amplify human capabilities. My focus is on creating systems that are not only powerful but also intuitive, ethical, and impactful.

In my daily workflow, I rely on a set of essential tools(Highlighted below) that help me stay productive and efficient. However, I occasionally need to adapt and use different tools based on specific project requirements.

• Languages: Python(6 years), Rust
• Database: SQL
• Real-time Data Streaming: Kafka/Redpanda, Quixstreams, Bytewax
• Frameworks & Libraries: PyTorch, TensorFlow, Scikit-learn, Optuna, Pandas, LangChain LLamaIndex
• MLOps Tools: Docker, Kubernetes, Apache Kafka, Great Expectations
• Orchestration: Docker, Docker Compose, Kubernetes
• Cloud & Infrastructure: AWS, GCP
• Code Editor: Visual Studio Code, Jupyter Notebook
• Version Control: Git
• Package Manager: Pip, Python Poetry, UV(Currently), Cargo(for Rust)
• Operating Systems: Linux(Most active), Windows
• Feature Store: Hopsworks
• Experiment Tracking and Model Registry: CometML
• Other Accessories: Make tools, RestAPI/FastAPI

• 💼 Email: [email protected]
• 🐦 X: @babsman

⭐ Let’s Collaborate!
Whether you're building the next breakthrough AI system, need an expert to transform your data pipelines, or just want to chat about the future of AI, I’d love to connect!