Designed and built deployment-ready multi-agent AI sales automation platform for high-ticket B2C lead processing using MIT-certified product design frameworks and n8n workflow orchestration. Developed custom multi-agent architecture with specialized components: Intelligence Gatherer (data enrichment), Strategic Director (orchestration), Communication Executor (copywriting) built in n8n workflows & GCP, prioritizing explainability and development speed. Tech stack included n8n orchestration, MongoDB (lead database, conversation histories, data enrichment), OpenAI APIs, WhatsApp Business API, GCP. Used platform as case study for MIT certification. Engineered bilingual BANT qualification with automatic language detection and full conversation context maintenance (English/Spanish), plus demo scheduling state machines. Iterated through 3 complete architecture versions exploring scalability, explainability, and cost optimization strategies. Designed and executed Go-To-Market strategy with 300+ cold emails and 25 personalized Loom video pitches to C-suite prospects; demonstrated system to high-ticket B2C prospects.

Drove AI and data transformation initiatives in an HR organization supporting 4,000 employees, architecting solutions and identifying high-impact opportunities during organizational discovery phase. Led team that won 1st place at 2024 Ford Ingenious Minds: Talent Match AI initiative (profile-to-opportunity matching system), leading design thinking efforts and elevating teammates on final on-stage pitch. Architected HR Data Warehouse strategy for 4,000 employee database (BigQuery) across 5 HR skill teams, designing framework for 15+ KPIs with weekly automated data extraction. Scoped benefits workflow automation opportunities affecting 4,000 employees and 3 different workstreams, following successful manufacturing models of 10,000+ employee operations. Championed Oracle HCM data quality efforts; coordinated cross-functional strategy with HR C-Leadership. Provided technical advisory to 5 HR directors and C-Leadership on data-driven transformation initiatives including Hoshin-Kanri adoption, data-capture automation, Analytics Platform adoption, and data-science standards. Organizational restructuring after 6 months led to mutually agreed separation to full satisfaction of both parties.

Led cross-functional technical integration projects bridging dealership operations, corporate systems, and data infrastructure across international Sales, Marketing, Architecture, Cybersecurity, Infrastructure and Auto Dealership teams. Member and technical owner of Global FBS Innovation 2022 1st Place Winner: Catalina AI Sales Forecasting Platform using DataRobot-based ML pipeline with regression metrics (RMSE, MAE, R²); performed feature engineering optimization across 120-table database. Led 100+ dealership CRM migrations overseeing technical implementations and code-debugging sessions with international multi-disciplinary teams. Spearheaded dealer performance database migration to GCP: refactored SQL Server pipeline to BigQuery using Terraform IaC and Tekton CI/CD across dev/qa/prod environments. Migrated 4.5M-row sales history database to BigQuery with automated daily ingestion, enabling integration with data mining and visualization tools. Designed, built, and deployed C-Suite PRCCA dealer profitability dashboard (QlikSense), achieving 75% faster development time through disciplined SCRUM execution. Refactored 120-table legacy database, resulting in 50% faster querying. Created enterprise-grade Infrastructure as Code SOP (Terraform, CI/CD) adopted across multiple teams. Trained 3+ rotating product owners on technical concepts, ensuring 100% strategy continuity despite rapid and continuous team changes.

Designed, built and implemented patented display flicker detection tool (US Patent 12,114,080 B2) using Python and precision statistical analysis. Increased testing capabilities by 200% across global lighting/climate labs through statistical analysis and automated data generation. Collaborated with software engineers across US/Europe to deploy testing solutions supporting warranty claim reduction strategy.

Delivered data-driven innovation and managed IT infrastructure projects across Ford Mexico, consistently exceeding expectations through automation and analytics. Built IT asset management analytics tracking 15,000+ assets with automated End-of-Life forecasting, reducing capital losses by up to 40%. Automated invoice processing handling 100+ invoices daily, reducing processing time by 90% using Python. Led national IT asset team coordinating logistics and lifecycle planning, ensuring 95% availability with high hardware requirement variability in alignment with global standards. Managed multi-disciplinary infrastructure projects (CCTV, meeting rooms, network planning) achieving up to 80% cost savings. Designed, built, and deployed office workstation availability dashboard integrating network switch data, optimizing facilities spending. Trained growing teams on increasing technical requirements: data-driven decision making, coding, and AI. Established new working standards across multiple skill teams.

Supported 100+ dealership certifications for integration to Ford Global Unified Database enabling global visibility into vehicle and spare-part sales, and service data.