AI Developer & AI Product Manager · Senior Backend Engineer & Delivery Lead

I have over 15 years of experience building scalable backend systems, leading engineering teams, and managing product delivery. In recent years, my core focus has been AI Development & AI Product Management, where I build production-grade RAG pipelines, orchestrate agentic workflows, and design collaborative multi-agent systems. Throughout my career, I've architected multi-tenant SaaS platforms, optimized complex PostgreSQL data models, and scaled cloud infrastructure and AI deployments using Kubernetes and AWS services. I also successfully lead Agile teams of up to 35 people from conceptualization to release.

Here are some of my recent open-source projects focused on generative AI, agents, and multimodal systems:

• 🚀 omni-agent-hub (Python): An integrated hub for managing and orchestrating autonomous intelligent agents.
• 💻 ai-ui-copilot (TypeScript): An AI-powered UI copilot designed to assist in frontend development and interaction.
• 🔄 multi-agent-workflow (Python): A framework and infrastructure for building complex, collaborative multi-agent workflows.
• 👁️ realtime-voice-vision-assistant: A multimodal assistant capable of real-time interactions using both voice and vision AI capabilities.

• AI Product Strategy & Delivery: Overseeing the end-to-end product lifecycle for AI solutions, from ideation and user research to deployment and iteration. Bridging the gap between engineering, data, and business stakeholders.
• Agentic Workflows & Multi-Agent Systems: Architecting and developing collaborative AI systems and autonomous workflows to solve complex, non-deterministic business problems.
• RAG & LLM Integration: Building production-ready Retrieval-Augmented Generation (RAG) applications with efficient vector search and robust context management.
• AI Deployment & Cloud Infrastructure: Scaling and deploying AI models and multi-agent frameworks using Kubernetes (K8s) and native AWS services, ensuring high availability and secure infrastructure.
• Multimodal AI: Implementing intelligent solutions that can see, hear, and speak using state-of-the-art vision and voice models.

• Multi-tenant SaaS on Laravel: Service-layer architecture, REST API design, authentication/authorization, distributed queues, and third-party integrations.
• PostgreSQL Data Engineering: Schema design, composite and partial indexing, query-plan analysis with EXPLAIN ANALYZE, transaction/locking design for high-write workloads, and tenant data isolation.
• Traceability & Inventory Systems: Lot and batch genealogy from raw material to finished goods, handling complex forward and backward trace queries on the recall-critical path.
• Delivery Leadership: Sprint and release planning, scope control, technical debt management, architecture reviews, and fostering a strong code-review culture.

• Lot-Traceability Schema for PostgreSQL: A reference data model for batch genealogy and recall queries, with benchmarks for the indexing strategy.
• RAG Compliance Assistant: An LLM application that answers questions from regulatory documents, built with retrieval over vector search.

The best way to reach me is on LinkedIn. I'm always happy to talk about AI product development, multi-agent systems, backend architecture, PostgreSQL performance, or engineering leadership.