Yaseen Almanna

Led AI Agentic Platform with multi-agent systems (Claude, OpenAI, LangChain/LangGraph) to orchestrate hundreds of daily order processes, achieving ~60% reduction in processing time. Built a high-volume WhatsApp ordering system with end-to-end platform (FastAPI, Chatwoot, Docker, React/Vite) handling daily orders with 99.9% uptime. Established a centralized product catalog with standardized IDs and governance, and implemented observability (Grafana/Prometheus) reducing costs and enabling proactive incident response.

Spearheaded design and implementation of a multi-agent reorder assistant using Anthropic Claude, OpenAI, LangChain/LangGraph, which reduced order processing time by 20% and improved engineering productivity by 25%. Shipped a WhatsApp ordering platform handling 70% of daily volume at 99.9% uptime with AI-powered workflows. Implemented monitoring systems leading to a 10% reduction in operational costs. Mentored engineering team to foster growth and technical excellence.

Directed migration of Jumlaty’s technology and data into Appetito’s stack, completing the project 2 weeks early with a cross-functional team. Designed and implemented a full dbt-based data warehouse on Amazon Redshift, improving data accessibility by 30% and enabling unified BI reporting via Metabase. Developed AI-powered pricing crawlers and customer service/restocking agents with OpenAI GPT-3.5, increasing margins by 5%. Defined and monitored KPIs using live dashboards for better decision-making.