Daniel Miranda

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!