ChainQuery-AI App
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Summary
Led the development of ChainQuery-AI, an autonomous AI agent designed to translate natural language prompts into optimized SQL queries for enhanced database accessibility.
About
High-impact AI Engineer and AWS Community Builder with expertise in large language model (LLM) orchestration, agentic system design, and AI inference optimization. Proven success in developing multi-agent ReAct loops and scalable RAG pipelines, bridging the gap between ML models and production to deliver autonomous, cost-efficient, and highly observable AI applications. Leverages deep proficiency in LangGraph, Python, FastAPI, and AWS to drive innovation and optimize AI solutions.
Work
Arthurite Integrated
|AI Engineer
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Summary
Leads AI engineering initiatives at Arthurite Integrated, developing and deploying advanced AI platforms and optimizing cloud architectures for efficiency.
Highlights
Engineered and deployed the 'AI News Caster' platform, processing over 100,000 words daily across multiple Nigerian languages through unstructured multimodal data pipelines.
Orchestrated real-time streaming ETL pipelines using Apache Kafka and Airflow, ensuring continuous metadata and content delivery to localization engines.
Optimized cloud architectures with AWS S3 and semantic caching, reducing redundant API queries and cutting AI inference costs by 40%.
Kuagi Resources
|Data Analyst
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Summary
Transformed data infrastructure and analytics at Kuagi Resources, delivering actionable insights and establishing robust data governance.
Highlights
Implemented a unified semantic layer using dbt, establishing business metrics as code to ensure consistent data definitions for AI agents and Power BI dashboards.
Streamlined ELT workflows and managed schema evolution, successfully migrating legacy reporting into scalable, AI-ready data ecosystems.
Delivered critical data-driven insights with Python and SQL, reducing manual reporting time by 45% and accelerating executive decision-making.
Hackmamba
|Technical Documentation Contributor
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Summary
Contributed to open-source developer success at Hackmamba by creating clear technical documentation and improving community engagement.
Highlights
Authored high-quality technical documentation for open-source developer tools, translating complex system architectures into accessible developer guides.
Improved open-source contributor onboarding efficiency by 30% and significantly reduced time-to-first-commit, earning community recognition for clarity and impact.
Omdena
|Machine Learning Engineer
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Summary
Developed and deployed machine learning algorithms for a global environmental project, enhancing prediction accuracy and team collaboration.
Highlights
Engineered and implemented machine learning algorithms for a global project, accurately determining environmental water retention capacity.
Collaborated with an international team to process large-scale datasets, achieving 88% model prediction accuracy and reducing false positives by 20%.
Education
University of Ilorin
Ilorin, Kwara, Nigeria
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Bachelor of Engineering
Soil and Water Engineering
Languages
English
Certificates
AWS Community Builder
Issued By
Amazon Web Services
AWS Certified AI Practitioner
AWS Certified Cloud Practitioner
Issued By
Amazon Web Services
Developer Relation Certification
Issued By
DXMentorship
Agentic AI Certificate
Issued By
DivVerse Labs
Machine Learning Certification
Issued By
DataTalksClub
Skills
Agentic Systems & Orchestration
LangGraph, LangChain, AutoGen, CrewAI, ReAct Loops, RAG Pipelines, AI Tool-Calling.
AI Inference & Cost Optimization
Model Quantization (8-bit), Semantic Caching (Redis), LLMLingua, Context Window Optimization.
XOps & Observability
LangSmith, Arize Phoenix, Galileo, Token/Latency Monitoring, Hallucination Guardrails.
Vector DBs & Search Infrastructure
Pinecone, Qdrant, pgvector, HNSW Optimization, High-Dimensional Indexing.
Data Engineering & Context
Apache Airflow, Apache Kafka, Databricks, Snowflake, Multimodal Data Pipelines, Data Knowledge Graphs.
Semantic Layer & Logic
dbt Semantic Layer (MetricFlow), Cube.js, Enterprise Business Metrics as Code.
Programming & Frameworks
Python, FastAPI, API Development, RESTful APIs.
Tools & Methodologies
Git, Power BI, Technical Documentation, Agile Development, System Architecture.
Projects
AgriSabi Project
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Summary
Developed and optimized Retrieval-Augmented Generation (RAG) pipelines for domain-specific agricultural management, enhancing search performance.