Ril Mom

Data Engineer with an Honors Bachelor's degree (Cum Laude) in Applied Computer Science (Artificial Intelligence specialization), experienced in designing and deploying scalable data pipelines, real-time streaming architectures, and machine learning solutions for operational decision support. Skilled in building end-to-end data platforms that ingest, transform, validate, and analyze structured and streaming data using Python, SQL, Apache Spark, Kafka, and cloud-native technologies. Hands-on experience developing ETL pipelines, data warehouse solutions, predictive analytics models, anomaly detection systems, and RESTful data services.

Strong software engineering background with experience delivering production-ready applications using Java Spring Boot, FastAPI, Docker, CI/CD, and modern software architecture principles. Passionate about leveraging data engineering and AI to support reliable, data-driven decision-making across the energy sector.

AI Engineer Intern at Nalantis (2025-03 – 2025-06)

• Designed and deployed an AI-powered GraphRAG platform using Neo4j, LangGraph, FastAPI, and LLMs to improve semantic candidate matching by 25%.
• Built scalable data ingestion and knowledge graph pipelines integrating multilingual recruitment data aligned with the ESCO taxonomy.
• Developed automated data processing workflows and production APIs supporting reliable AI-driven search and analytics.
• Implemented evaluation pipelines using DeepEval, achieving over 90% accuracy across answer relevancy and faithfulness metrics.
• Collaborated closely with engineers and business stakeholders to deliver production-ready AI solutions.

Logistics Coordinator at Fatgbems Petroleum Company (2021-01 – 2022-12)

• Coordinated logistics operations across multiple distribution sites using operational data to improve planning and asset utilization.
• Monitored inventory data, identified operational anomalies, and supported data-driven decision-making.
• Maintained compliance with safety and operational standards while coordinating multiple stakeholders.

Logistics Support Executive at West African Fenders Ltd (2020-01 – 2021-12)

• Monitored operational asset movements and developed Power BI dashboards to improve reporting and operational visibility.
• Supported planning and execution of maritime logistics operations through real-time operational coordination.

BSc in Applied Computer Science - Artificial Intelligence – KdG University of Applied Sciences (2023-01 – 2025-12)

BTech in Transportation Management Technology (Transport Engineering & Management Technology) – Federal University of Technology Akure (FUTA) (2013-01 – 2018-12)