Roldan Madero

AI Project Manager and Computer Engineer focused on enterprise AI implementation, product design, adoption, governance, and performance tracking. Experienced in coordinating AI agents, translating business needs into AI workflows, managing stakeholders and vendors, defining project architecture, creating testing frameworks, and enabling secure AI adoption across business and technical areas.

AI Implementation and Transformation Engineer at Megacable (2025-01 – Present)

• Coordinated enterprise AI initiatives across three key agents: Megan, an internal knowledge assistant powered by approximately 2,589 official documents; a TV support agent handling approximately 22,000 monthly conversations; and a training simulation agent for call center coaching.
• Led AI product planning activities, including product design, project architecture, MVP definition, scope management, requirements gathering, backlog preparation, flow redesign, and executive progress reporting.
• Built AI agent evaluation frameworks with approximately 300 test cases per agent, validating intent accuracy, response quality, escalation behavior, flow compliance, frequent errors, handling time, satisfaction, and resolution rate.
• Drove AI adoption through training sessions for approximately 175 users, with a projected reach of up to 450 people, covering Copilot, Gemini, Claude, prompting, meeting transcription, internal AI agents, productivity use cases, risk awareness, and secure AI practices.
• Managed stakeholder alignment across Operations, TV, Back Office, CCN, Security, Engineering, Human Resources, Customer Service, Field Service, Call Center teams, directors, and external providers.
• Coordinated vendors including Huawei, Mobiik, Orange, and Sellia for AI and WhatsApp agent initiatives, aligning business requirements, API needs, conversational flows, integrations, and operational execution.
• Supported responsible AI deployment by defining response boundaries, validating trusted sources, documenting usage rules, testing prompt injection scenarios, and protecting internal information.
• Produced end-to-end AI project artifacts, including business cases, requirements, process flows, testing matrices, prompt guides, technical documentation, executive presentations, user manuals, meeting minutes, and AI usage policies.

Software Engineer at COGNO - CognoSolutions (2024-01 – 2024-12)

• Developed data and software solutions using Python, SQL, Snowflake, scikit-learn, and C# to support analytics, process improvement, and business decision-making.
• Collaborated with technical and business stakeholders to translate operational needs into scalable software and data workflows.

Bachelor of Computer Engineering in Computer Engineering – Autonomous University of Nayarit (2024-12)