# FAVOUR ERNEST - AI Researcher, Engineer, and Innovator
Source: https://hello.cv/zenithfavour
Global

## Links
- LinkedIn | https://www.linkedin.com/in/the-ai-future-91389926a/

## About
An accomplished AI Researcher, Engineer, and Innovator specializing in the ethical design and development of advanced AI systems. Leverages deep expertise in sentient AI, cognitive architectures, and AGI safety to bridge cutting-edge technology with human-centered values and regulatory compliance (GDPR, EU AI Act, UN AI Ethics Guidelines). Drives innovation through cross-disciplinary collaboration, strategic thinking, and technical excellence to deliver impactful, ethically responsible AI solutions with a strong commitment to humanitarian impact.

## Work
### AI Research Scientist || Divine Technologist | Self-Employed
As an independent AI Research Scientist and Divine Technologist, Favour Ernest leads pioneering research into ethical AI, AGI safety, and human-centered design, shaping global policy frameworks and advancing responsible innovation.
- Pioneered theoretical research into sentient AI systems, including computational consciousness and moral reasoning, to define ethical frameworks for artificial sentience and AI personhood.
- Conducted interdisciplinary research on AI governance and regulatory compliance, directly contributing to policy frameworks aligned with GDPR, the EU AI Act, and UN AI Ethics Guidelines.
- Authored and presented strategic white papers to stakeholders and policymakers, advising on the legal and societal impacts of autonomous and generative AI, including AI liability and data rights.
- Collaborated with legal experts to inform and shape ethical AI deployment standards, fostering transparency and accountability across diverse sectors.
### Technology Solution Associate | Cybervergent
At Cybervergent, Favour Ernest spearheaded the development of ethical AI infrastructure and founded a Centre of Excellence, ensuring regulatory compliance and integrating advanced data science techniques.
- Spearheaded the development and implementation of ethical AI infrastructure within a Tier 1 regulatory environment, ensuring compliance with stringent industry standards.
- Founded and led the Unstructured Data Centre of Excellence, focusing on ethical design, inclusive Machine Learning, and policy-first engineering principles.
- Partnered with legal and data governance teams to align complex AI systems with evolving regulatory landscapes, mitigating compliance risks.
- Drove continuous improvement by actively participating in industry conferences and workshops, integrating the latest data science techniques and technologies.
### Machine Learning Engineer | Odi Ventures
At Odi Ventures, Favour Ernest developed and deployed advanced machine learning models for financial fraud detection and predictive analytics, ensuring robust and fair outcomes.
- Applied advanced anomaly detection techniques to identify financial fraud and policy violations, enhancing compliance within strict regulatory frameworks.
- Developed robust and fair Bitcoin trend models using statistical learning approaches, improving predictive accuracy and reliability.
### Contract Research Scientist | Autogon AI
At Autogon AI (USA), Favour Ernest led applied AI research projects, enhancing explainability and auditability in ML/deep learning workflows and ensuring interdisciplinary compliance.
- Led applied AI research projects, enhancing explainability and auditability in machine learning and deep learning workflows.
- Championed ethical documentation and interdisciplinary compliance, ensuring AI tool development adhered to high standards.
- Evaluated and integrated new technologies into research processes, driving continuous improvement and efficiency gains.
- Delivered all testing projects on schedule and under budget, contributing to successful company-wide initiatives.
### Senior Data Scientist | Eunomy
At Eunomy, Favour Ernest led the design and deployment of an ML system for vulnerable customer detection and significantly influenced company-wide AI governance strategy through white paper authorship.
- Led the design and deployment of an ML system to detect vulnerable customers, integrating responsible AI principles to enhance ethical data practices.
- Co-authored an internal white paper on unstructured data ethics, directly influencing and shaping the company's AI governance strategy.
- Championed the implementation of bias auditing pipelines, contributing to the establishment of robust, policy-aligned MLOps standards.
### Data Scientist | First Vision
At First Vision, Favour Ernest developed internal tools for fairness auditing, led an AI Governance subgroup, and designed process mining solutions with legal traceability, establishing critical standards for responsible AI.
- Developed internal tools for comprehensive fairness auditing and bias evaluation across multiple NLP models, enhancing model integrity.
- Led the AI Governance subgroup within the Responsible AI team, establishing critical model monitoring and documentation standards.
- Designed and implemented process mining solutions with integrated legal traceability features, ensuring compliance and accountability.

## Education
### Abia State University | Biochemistry

## Awards
### Recognized by GTA Black Women in Tech
GTA Black Women in Tech | 2023-01-01
Recognized for contributions and leadership within the tech community, fostering diversity and inclusion.
### Voices in the Shadows Nominee
Voices in the Shadows | 2023-01-01
Nominated for significant impact and influence, highlighting expertise and thought leadership in the field.

## Publications
### Interdisciplinary AI Ethics Research
Peer-reviewed Journal
Peer-reviewed research exploring ethical considerations and frameworks within interdisciplinary AI systems.
### Machine Learning for Host-Based Intrusion Detection Systems
Peer-reviewed Journal
Peer-reviewed research on the application of machine learning in Host-Based Intrusion Detection Systems (IDS).
### Ethics in Unstructured Data AI Systems
Internal Publication
Internal white paper detailing ethical considerations for AI systems handling unstructured data, influencing internal governance.
### Future of AI Embedded Society
Internal Publication
Internal white paper exploring the societal implications and future of AI integration within a global context.

## Languages
- French
- English

## Certificates
### Getting Started with AI using Watson
IBM | 2022-01-01
### Python for Data Science, AI & Development | SQL for Data Science | Intro to Artificial Intelligence
Online Learning Platforms | 2022-01-01
### Blockchain Specialization
University of Buffalo | 2022-01-01
### Cybersecurity Engineering Virtual Internship
Forage | 2022-01-01

## Skills
### AI Ethics & Governance
Expert
- Responsible AI
- AI Ethics & Fairness
- Algorithmic Bias Mitigation
- AI Governance
- AI Policy and Regulation
- AGI Safety
- Artificial Consciousness & Machine Ethics
- Moral Reasoning & AI Autonomy
- Legal AI Compliance (GDPR, AI Act)
- Explainable AI (XAI)
- AI Alignment Research
- Human-Centered AI
- Policy Development
- Data Governance
- Risk Management in AI
- Socio-technical AI Systems
### AI Research & Development
Expert
- Sentient AI
- Cognitive Architectures
- AGI Safety Research
- Interdisciplinary AI
- Research Writing
- LLM Fine-tuning & Retrieval-Augmented Generation
- Natural Language Processing (SpaCy, NLTK, Transformers)
### Programming & Tools
Expert
- Python
- PyTorch
- TensorFlow
- Hugging Face
- MLOps (MLFlow, Airflow)
- CI/CD (Git, Jenkins, SonarQube)
- Data Pipelines (Apache Spark, Hadoop, Neo4j)
- Cloud Platforms (AWS, GCP, Azure)

## Source
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