Roles, companies, and what the work actually involved.

Architects and owns an enterprise logistics platform end to end — Kubernetes microservices serving 5,000 users and 10–50M daily requests and GPS events.

• Architected a multi-tenant, Kubernetes-based microservices platform tracking logistics drivers in real time through HAProxy, Kafka, Redis, and PostgreSQL/PostGIS, with independent service scaling, automated failover, and zero-downtime deployments.
• Designed a fault-tolerant, event-driven GPS pipeline with idempotent ingestion, geospatial indexing, geofencing, real-time caching, offline sync, and rate limiting.
• Implemented HPA/KEDA autoscaling, CI/CD, automated backups, disaster recovery, and full observability with OpenTelemetry, Prometheus, and Grafana.

Built NexCRM, a multi-tenant B2B CRM with a durable multi-agent system, before moving into the lead role.

• Developed NexCRM with Next.js 16, MiniMax, Gemini, pgvector, and Supabase/PostgreSQL — RAG, typed CRM tools, resumable jobs, workspace-scoped RLS/RBAC, cost controls, and human-approved actions.
• Engineered an AI-powered landing-page builder with the Vercel AI SDK: conversational page generation, structured tool-based editing, and publishing inside the CRM.
• Kept server-side validation and tenant isolation intact across every AI-driven write path.

Led company-wide technology vision, architecture, AI engineering, and engineering execution, driving ~75% of technical decisions.

• Implemented coding standards, agile workflows, and AI-powered solutions while mentoring engineering teams.
• Delivered 2–3× growth capacity, ~35% fewer errors, ~30% faster delivery, and ~40% quicker turnaround.
• Drove a 70% increase in client satisfaction within six months.

Founded and leads Zentari Software — product strategy, system architecture, client relationships, and delivery across 20+ international software projects.

• Established scalable development processes that achieved 85% client retention.
• Lead AI engineer across the portfolio, shipping RAG pipelines, multi-agent workflows, and LLM-powered automation inside client platforms.
• Led full-stack development of Kaizen Gym's enterprise management platform — RFID access, memberships, training, scheduling, billing, and reporting — contributing to over PHP 10M in revenue growth.

Led cloud engineering initiatives and raised team capability through training and best practices.

• Ran training and set deployment best practices across the team.
• Reduced errors and raised the quality of deployments.
• Strengthened system reliability at scale.

Developed an end-to-end e-commerce platform while leading a team of five developers.

• Led the full product lifecycle from catalog and product listing through deployment.
• Owned frontend and backend development across the platform.
• Coordinated a five-developer team through delivery.

Earned STIC Industry Track Scholar recognition after 100+ hours of training in full-stack development, cloud computing, and AI.

• Completed 100+ hours of industry-track training.
• Covered full-stack development, cloud computing, and AI.
• Strengthened industry-ready technical skills applied in client and studio work.

Led an AWS Learning Club chapter — sessions, hands-on projects, and peer learning around cloud fundamentals.

• Organized learning sessions and hands-on cloud work for members.
• Helped peers ship projects and get unstuck on architecture and deployment.
• Built a repeatable rhythm so the club continues beyond a single event.