Tobi Michael Alabi

Background

About Tobi Michael Alabi

Results-driven AI Engineer with a Ph.D. and 5+ years of experience specializing in the end-to-end development and deployment of production-grade Generative AI solutions. I'm passionate about building cutting-edge AI products that solve complex business challenges and drive innovation across industries. My expertise spans the full AI development lifecycle - from designing sophisticated multi-agent systems and fine-tuning Large Language Models to implementing Retrieval-Augmented Generation (RAG) workflows and deploying scalable solutions in production. I've successfully launched AI-powered platforms that process millions of data points in real-time, delivering intelligent insights that enhance decision-making productivity. Core Expertise: • Generative AI & Large Language Models (LLMs) • Multi-agent AI systems and RAG implementation • MLOps and cloud-native architecture (Azure, AWS, Kubernetes, Docker) • Real-time data processing and model optimization • AI product development from concept to deployment • Advanced machine learning and deep learning algorithms • AI/LLM inference optimization techniques using different libraries (vLLM, Nvidia triton server, Nvidia Dynamo) Technical Proficiencies: • Languages: Python, C++ • Frameworks: LangChain, LlamaIndex, PyTorch, TensorFlow • Cloud & DevOps: Docker, Kubernetes, MLflow, CI/CD pipelines • Databases: PostgreSQL, MongoDB, Vector databases I bring a unique combination of deep technical knowledge, research rigour, and practical industry experience. My multidisciplinary background enables me to approach complex AI challenges with innovative solutions while maintaining focus on scalable, production-ready implementations. Always eager to collaborate with forward-thinking teams and contribute to the next generation of AI-powered solutions.