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Morocco
3+ years of experience
I specialize in bridging the gap between Autonomous AI Agents and Spatial Computing. I build enterprise-grade SaaS platforms powered by multi-agent workflows, Multimodal RAG, and cloud orchestration (GCP/AWS). AWS Certified Solutions Architect Associate. Currently focused on building LLM-native products that solve complex B2B problems.

Revv is an enterprise-grade B2B SaaS platform designed to modernize the automotive retail experience. Today, dealerships struggle with static car listings and high-friction sales cycles. Revv solves this by utilizing AutoSight, our proprietary, autonomous multi-agent engine, to transform raw vehicle data into high-fidelity, cinematic 3D digital twins in under two minutes. The AutoSight Engine: At the core of the platform is a deterministic pipeline orchestrated by Google Cloud Workflows. This serverless state machine coordinates seven specialized AI agents powered by Gemini 3 Pro and Flash. The process moves from Ingestion (verifying real-world awards via Google Search Grounding) to Director-level decision-making, where the AI chooses between 2D imagery or interactive 3D WebGL "Tech Views." Using Imagen 3 for cinematic backgrounds and Gemini’s spatial vision for hotspot localization, AutoSight creates a narrative that explains complex technical specs through emotion and immersion. A Sovereign Infrastructure: To ensure true data sovereignty for dealerships, Revv is built on a distributed Vultr architecture. We utilize three dedicated Vultr Cloud Compute instances to host our frontend, our AI backend, and a self-hosted Supabase environment (PostgreSQL + pgvector). Massive images assets and neural audio tracks are offloaded to Vultr Object Storage, providing a scalable, secure, and high-performance environment that bypasses the limitations of shared public clouds. The Conversational Edge: For buyers, Revv offers the AutoSight Live Agent. Powered by the Gemini Multimodal Live API, this provides a real-time, low-latency speech-to-speech assistant. Backed by a Multimodal RAG system using Vertex AI Embeddings, the agent can "see" and query uploaded PDF manuals, extracting facts from complex tables and images to provide grounded answers. Shoppers can even book test drives mid-conversation via native tool-calling, which instantly triggers an interactive booking widget.
19 May 2026