Dan Chavez

Led design and rollout of multi-agent AI automation platform across research, analysis, and project management workflows, balancing cost, latency, and reliability constraints to reduce operational load by 70% for cross-functional U.S. client teams. Architected n8n-based orchestration engine with intelligent task routing after evaluating event-driven vs schedule-based execution; chose hybrid approach to minimize latency while controlling API costs, eliminating 100% of manual triage and reducing operational overhead. Drove model selection for research agents by benchmarking OpenAI's 'o4-mini' vs 'o3-deep-research', identifying 40% cost savings with 'o4-mini' for routine research while reserving 'o3-deep-research' for complex analysis requiring deeper reasoning, cutting research time by 80%. Designed financial analysis agent applying custom business validation logic to operational data; traded strict schema enforcement for flexible JSON output to reduce parsing failures by 85%, enabling reliable auto-population of Excel templates and cutting analysis cycles by 65%. Identified recurring task deadline risks and implemented proactive monitoring agents that analyze overdue patterns and post automated reminders, improving on-time completion by 45% and preventing escalation to client stakeholders. Established nightly schedule-based quality monitoring after diagnosing root cause of workflow errors as inconsistent task ownership data; introduced validation guards and ownership checks that reduced errors by 60% through early detection. Built comment-triggered automation system that parses natural language inputs to update task metadata; rejected regex-only approach due to high false-positive rates, implemented NLP-based intent classification that saved 15+ hours weekly in manual task administration with 95% accuracy. Developed document generator agents with memory-equipped processing and curated knowledge banks; evaluated template-first vs generative-first approaches, chose template-based generation to ensure brand consistency while automating PDF creation and reducing document cycle time by 90%. Designed cross-system data synchronization workflows between project management platforms and external databases; chose Zapier over custom ETL to minimize development and maintenance burden, eliminating duplicate entry and improving data consistency by 95%. Architected Next.js conversational agents with Supabase backends for goal setting and content publishing; evaluated serverless vs containerized deployment, chose Vercel Edge Functions for lower cold-start latency and built-in global CDN, increasing content output by 100% while maintaining sub-100ms response times. Designed bidirectional calendar synchronization system addressing scheduling fragmentation across dual Outlook calendars; evaluated one-way mirroring vs full two-way sync, implemented Power Automate workflow with event-driven triggers on create/update/delete operations, accepted eventual consistency tradeoff to simplify conflict resolution logic while eliminating 100% of manual calendar duplication and reducing scheduling conflicts by 80%.