Edouard Fils

Manages and improves WordPress content, page structure, webinar publishing, mobile presentation, and site quality for a Canadian nonprofit. Translates stakeholder requests into controlled website updates, troubleshoots presentation issues, and tracks technical delivery in ClickUp.

Evaluated and trained AI systems in English and French by reviewing model responses, identifying quality issues, applying evaluation criteria, and improving linguistic and factual accuracy. Contributed bilingual expertise to AI data and model-quality workflows.

Evaluates and ranks AI responses using detailed rubrics for correctness, reasoning, helpfulness, instruction adherence, safety, and completeness. Reviews AI-generated Python code and reasoning for logic, syntax, hallucinations, edge cases, output quality, and explanation clarity.

Analyzed business processes, data, and system requirements to improve operations and decision-making. Partnered with stakeholders to identify needs, document requirements, improve workflows, and support reporting and systems initiatives across business teams.

Supported Zoho CRM and Smartsheet workflows and developed Zoho Analytics reporting covering project quotes, sales performance, and customer engagement. Supported data integration, migration, and synchronization between Keystone/Plytix PIM and P21 ERP; clarified business requirements and investigated data-quality issues.

Managed and analyzed program data supporting operational and leadership decisions. Improved data quality, prepared recurring reports, investigated inconsistencies, and collaborated with business stakeholders to translate information needs into reliable reporting and analytical outputs.

Managed data-governance and quality workflows, investigated discrepancies, and supported recurring program reporting with Power BI, Microsoft Access, and Excel. Used Python and R for data scrubbing and validation and communicated data gaps, priorities, and corrective actions to operational stakeholders.

erformed data quality analysis, validation, and issue investigation within healthcare datasets. Identified inconsistencies, supported corrective actions, produced reporting, and worked with stakeholders to improve the accuracy, completeness, and reliability of information used for operations and analysis.

Ongoing training in Azure AI Engineer and AI-agent development.

Project-based training in RAG, retrieval evaluation, testing, and deployment.

Training in data engineering workflows and the modern data stack.

Licence en sciences informatiques (Computer Science) from École Supérieure d'Infotronique d'Haïti, completed in 2008.

Completed coursework in data analysis and visualization.

Completed Google AI Essentials training.