About
A senior software engineer who ships AI, data, and backend systems that actually work.
I design and build across the stack GenAI applications, large-scale data pipelines, streaming infrastructure, and production backends.
I'm a senior AI/ML and data engineer with 10+ years building scalable systems across data engineering, distributed backends, machine learning, and for the last 4+ years enterprise GenAI in production at Fortune 50 scale.
My work spans the full data and AI stack: real-time and batch pipelines with Spark Structured Streaming, Kafka, and Airflow; lakehouse and warehouse design on Databricks, Snowflake, and BigQuery; classical ML and deep learning in production; and GenAI systems including RAG, agentic workflows, and LLM evaluation harnesses that gate releases on faithfulness and contradiction scores. I shipped a RAG-powered forecasting engine that lifted supply-chain accuracy by 30%, and migrated batch ingestion to streaming, cutting latency to under 5 minutes.
I'm a Ph.D. candidate at the University of the Cumberlands. My dissertation compares summarization and RAG as memory architectures for long-running LLM agents.
Alongside my day job, I founded Okyke Technologies an AI-product studio building intelligent software and e-commerce brands at the frontier of emerging tech.
Education
University of the Cumberlands
DistinctionPh.D. in Information Technology (AI / LLM specialization)
Dissertation: Summarization vs Retrieval-Augmented Generation for long-term LLM memory.
University of Kentucky
DistinctionM.Sc. in Biosystems Engineering Machine Learning specialization
Research: FTIR spectroscopy + machine learning for gluten contamination detection in grain-based foods.
glutini-res.comUniversity of Ibadan, Nigeria
First ClassB.Sc. in Agricultural & Environmental Engineering
Capstone project: a computer vision system for automated fruit defect detection and sorting.
Publications
- Adedeji, A. A., Okeke, A., & Rady, A. M. (2023). Utilization of FTIR and machine learning for evaluating gluten-free bread contaminated with wheat flour. Sustainability, 15(11), 8742.
- Okeke, A. G. (2020). Fourier Transform Infrared Spectroscopy (as a Rapid Method) Coupled with Machine Learning Approaches for Detection and Quantification of Gluten Contaminations in Grain-Based Foods.
Certifications
- Microsoft Azure AI Engineer Associate