Emji A.

Key Skills

Software

Other

Top Subject Matter

Enterprise knowledge retrieval

Rag Domain Expertise

and agentic LLM workflows for manufacturing/operations/customer service

Top Data Types

Document

Image

Text

Top Task Types

Question Answering

Function Calling

Classification

Freelancer Overview

AI Engineer / Consultant — Oakmark Global Vision Technologies (Jan 2024 to Date). Brings 10+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Other. Education includes Master of Business Administration, De Montfort University (2017) and Bachelor of Science, University of Nigeria, Nsukka (2004). AI-training focus includes data types such as Document, Medical, and DICOM and labeling workflows including Question Answering, Evaluation, and Rating.

Labeling Experience

AI Engineer / Consultant — Oakmark Global Vision Technologies (Jan 2024 to Date)

DocumentQuestion Answering

Led development of retrieval-augmented generation (RAG) pipelines enabling semantic querying over enterprise knowledge bases. Implemented vector search and document intelligence to support dynamic, context-aware responses for users. Performed model evaluation and benchmarking across providers to ensure reliable performance for downstream AI usage. • Built custom RAG pipelines with vector search • Engineered agentic AI workflows using Model Context Protocol (MCP) for dynamic response generation • Orchestrated multi-agent task decomposition for complex queries • Validated models with bias detection and testing/benchmarking strategies

2024 - Present

Product Owner / AI Lead — National Grid (ESO) (Aug 2019 to Jan 2024)

Document

Owned an AI-enabled data portal delivering analytics and data visualizations for energy market datasets. Drove enterprise integration and monitoring for AI and data platform health, with comprehensive testing and AI model validation to maintain stability and data integrity. Conducted structured planning and delivery work using agile methodologies and stakeholder workshops to align technical requirements. • Led integration initiatives connecting AI systems with data architecture platforms • Implemented monitoring, logging, and alerting for AI/data platform reliability • Designed testing strategies including unit/integration tests and AI model validation • Facilitated workshops and demos for cross-functional knowledge transfer

2019 - 2024

AI/ML Engineer — Capgemini (2019)

OtherDocumentFunction Calling

Designed and implemented ETL processes and AI-driven data integration solutions with secure data handling for government requirements. Engineered data pipelines that integrated machine learning models with secure APIs and identity management systems to support compliant AI deployment. Collaborated with security teams on Data Protection Impact Assessments (DPIAs) and PII detection mechanisms. • Built secure ML-integrated data pipelines using APIs • Coordinated DPIAs and PII detection for AI system deployments • Ensured compliance with government data protection requirements • Worked on ETL and data integration for AI-enabled reporting

2019 - 2019

AI/ML Engineer — University of Warwick Medical School (2018)

OtherClassification

Developed a medical research trial database system with AI-powered analytics to improve clinical trial reporting and analysis. Implemented data quality frameworks and automated classification mechanisms to enable resumption of trials after disruption. Focused on operational continuity and accurate reporting through structured data processing. • Built BigBaby trial database management with AI analytics • Implemented data quality frameworks for research reporting • Added automated classification mechanisms to support study workflows • Restored trial reporting and analysis after a month-long disruption

2018 - 2018

Education

Work History