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Daniel MirandaDM

Daniel Miranda

Product Consultant & Builder

€789/day
Milan, IT
8-15 years

Average response time: 1 hour

About Daniel

Hi, I am a Senior AI Product Manager specializing in turning complex AI concepts into scalable, production-ready systems that deliver real business value. With experience shipping AI/ML solutions, I bridge the gap between technical engineering and product strategy, helping companies ship MVPs fast and iterate based on data. If your company needs to build an AI product from scratch, optimize workflows, or establish robust LLM evaluation and guardrails, I can help you execute.
HOW I BRING VALUE:
Zero-to-One Products: End-to-end ownership from concept to production, specializing in LLM applications, WhatsApp messaging architectures, and CRM tools. Evaluation and Guardrails: Practical framework design to measure model accuracy, manage prompt engineering, and implement human-in-the-loop validation to ensure safety and compliance. Agentic Systems: Architecting multi-agent orchestration, building custom Model Context Protocol (MCP) servers, and leveraging CrewAI for workflow automation. Observability and Costs: Designing enterprise-grade process monitoring that drastically reduces critical incident response times and prevents data loss.
PROVEN TRACK RECORD OF IMPACT:
Mastercard: Led the production LLM for Open Finance in Latin America, boosting data enrichment accuracy from 74% to 97% under strict regulatory compliance (LGPD/PSD2). AB InBev / Ambev Tech: Built an AI monitoring platform generating 2M+ dollars in annual savings and cut screen validation cycles by 75% using rapid prototyping. Retail Consulting: Built a zero-to-one WhatsApp messaging and CRM platform from scratch, optimizing campaign conversion and automated handoffs. CORE STACK:AI/ML:
LLM Fine-tuning, Prompt Engineering, Model Evaluation, CrewAI, MCP. Backend and Prototyping: Python, FastAPI, Lovable, Cursor, Replit, SQL. Observability: PromQL, Grafana, Datadog, Azure Monitor. Available for remote international contracts as a B2B Contractor. Let us connect to scale your AI initiatives!
  • English

    Native or bilingual

  • Italian

    Basic

  • Portuguese

    Native or bilingual

  • French

    Basic

Remote only
Primarily works remotely

Experience

  • Freelance
    Product Consultant & Builder
    February 2026 - Today (4 months)
    • • Designing and building a zero-to-one WhatsApp messaging and CRM platform from scratch: subscriber list management, campaign segmentation, delivery tracking (success/failure/pending), and conversion analytics — full product ownership from concept to production.
    • • Defined evaluation criteria for AI-generated message personalization including accuracy, safety guardrails, and opt-out compliance; iterated on campaign performance using data from each send wave.
    • • Architected a human-in-the-loop customer service flow separating automated campaign execution from live agent handoff — merchants scale campaigns without sacrificing customer trust.
    • • Shipped iteratively in small, reversible increments: dry-run simulation before live sends, deduplication logic, audit logging, and batch limits — pragmatic scope decisions over feature completeness.
    Stack: Python
    ◦ · FastAPI
    ◦ · SQLite
    ◦ · WhatsApp API (Z-API)
    ◦ · Agile
    ◦ · Product Analytics
    MCP AI Automation AI Agent Cursor Claude code
  • NTT Data
    Senior Product Manager
    January 2025 - March 2026 (1 year and 2 months)
    • • Mentored a Junior PM across 7 months and 4 POCs, reducing a manual processing task from 90 min to 10–15 min and error rates from 30% to ~5%, with estimated $1M+ in downstream savings.
    Stack: Anthropic API
    ◦ · Prompt Engineering
    ◦ · MCP Development
    ◦ · CrewAI
    ◦ · Python
    ◦ · C# .NET
    ◦ · Azure DevOps
    • · PromQL
    ◦ · Grafana
    ◦ · Datadog
    ◦ · Lovable
    ◦ · Cursor
    MCP Grafana Lovable Crew AI Azure DevOps
  • FTD Educação
    Senior Product Manager (Consultant)
    January 2024 - June 2025 (1 year and 5 months)
    Advised on AI automation opportunities in the content delivery pipeline; contributed to identification and framing of a Microsoft Copilot integration that improved editorial workflow efficiency.
    Facilitated product operating model design, PM coaching, and Agile adoption — structured ownership frameworks for a team transitioning into product-oriented roles.
    Consulting AI Automation Copilot Agile method Product management

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Education

  • Associate's Degree in Data Science
    UNINTER
    2024
    Associate's Degree in Data Science
  • Product Roadmapping (PRC)™
    Product Roadmapping (PRC)™

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