Artificial Intelligence

• Design, train, evaluate, and deploy machine learning models and deep learning architectures for a range of business problems.
• Build systems to manage, enrich, and filter prompts, including handling sensitive content and ensuring context is maintained for optimal model performance.
• Implement processes to screen and filter model outputs, ensuring responses are free from harmful or inappropriate content.
• Develop APIs and supporting systems to serve AI models to client applications, integrating with both internal systems and third-party platforms.
• Implement rigorous data protection, masking, and encryption strategies to safeguard sensitive information and support compliance requirements.
• Integrate and support workflows leveraging the Model Context Protocol for contextual management of AI model requests and outputs.
• Optimize AI service delivery for scalability, reliability, and low latency, using modern deployment and caching strategies.
• Collaborate with security teams to enforce robust access controls, data privacy, and compliance across all AI solutions.
• Apply logging, monitoring, and tracing for model performance, operational analytics, and cost management.
• Work with ML engineers, software developers, product managers, and DevOps teams to integrate AI capabilities into the larger application landscape.
• Create comprehensive documentation, guides, and internal tooling to support the adoption and maintenance of AI systems.

AI Gateway Engineer – Platform Integrations

Freelance AI Artist – Photoshoots, Brand Storytelling

Founding Marketing/Growth Associate – AI EdTech SaaS

No-Code & AI Specialist

Latin American Spanish Linguist – AI Projects