Senior AI/ML Engineer and Consultant building production LLM, RAG, recommender, search, and MLOps systems.
I work across the full AI delivery path: problem framing, data and retrieval pipelines, model integration, backend services, cloud deployment, evaluation, telemetry, and stakeholder-facing product delivery. Recent work spans AI consulting, ecommerce search and recommendations, agentic chatbots, scientific retrieval, and developer AI platforms.
Portfolio | LinkedIn | GitHub | Email
- Production LLM and RAG systems with grounded answers, citations, and evaluation loops.
- AI agents that orchestrate tools, APIs, memory, escalation paths, and human-in-the-loop workflows.
- Ecommerce AI search, recommendation systems, and personalization.
- MLOps and cloud-native AI delivery with FastAPI, Docker, Kubernetes, Airflow, MLflow, AWS, and GCP.
- AI platform telemetry covering latency, token usage, cost, reliability, adoption, and quality feedback.
| Project | What it demonstrates | Stack |
|---|---|---|
| ChainPilot AI | Internal AI platform for developer onboarding, reusable engineering agents, prompt registry, RAG architecture Q&A, and telemetry dashboards. | Next.js, FastAPI, LangChain, OpenAI, PostgreSQL, Redis, Qdrant, Prometheus, Grafana |
| AI-Powered Scientific Search Engine | ArXiv/PubMed mining, chunking, embeddings, FAISS retrieval, complex-question decomposition, grounded synthesis, citations, tracing, and answer evaluation. | Python, FastAPI, LangChain, Hugging Face, FAISS, Docker |
| FDE Assessment: Sora Union | Customer support AI agent with intent handling, order lookup, refund processing, conversation memory, and human escalation. | Python, LangChain, OpenAI, tool calling |
AI/ML: LLMs, RAG, prompt engineering, fine-tuning, AI agents, NLP, recommender systems, computer vision, PyTorch, TensorFlow, Keras, scikit-learn, Hugging Face Transformers.
Backend/Data: Python, SQL, FastAPI, Flask, Django basics, REST APIs, Apache Spark, Kafka, PostgreSQL, MongoDB, DynamoDB, OpenSearch, ETL/ELT pipelines.
MLOps/Cloud: AWS, Google Cloud Platform, Docker, Kubernetes, Apache Airflow, MLflow, CI/CD, ArgoCD, Comet ML, Git, GitHub, observability, and production operations.
- Google Cloud Certified Professional Data Engineer
- Google Cloud Certified Professional Machine Learning Engineer
- AWS Certified Cloud Practitioner
- Generative AI with Large Language Models
- Executive MBA, Business Administration and Management, Rome Business School Nigeria