Mohammad Akbari

• ● Leading the architecture and development of an agentic AI platform for Longmark, a major US real estate company, automating leasing workflows, rent collection, tenant communications, customer support, and maintenance operations.

• ● Designing and orchestrating LLM-powered multi-agent systems using LangChain, LangGraph, LangSmith, and GenAI frameworks, with production-grade observability and evaluation pipelines.

• ● Building scalable, event-driven pipelines using Kafka, integrated with AWS services, and monitored through Datadog to ensure reliability, fault tolerance, and real-time analytics.

• ● Managing and mentoring a team of AI Engineers, driving best practices in Python-based development, cloud deployment, and multi-agent workflow design.

• ● Collaborating closely with product and engineering teams to align technical design with business goals, delivering enterprise-ready automation with an audit-friendly and secure deployment patern

• ● Architected and deployed Python-based, LLM-powered scheduling agents integrated into NHS systems, reducing no-shows by 20%, scaled across 4 NHS Trusts, and secured a 3-year NHS contract.

• ● Led AI strategy and roadmap, delivering 9% model accuracy improvement and launching 3 AI-powered services, boosting clinic utilisation by 23%.

• ● Managed cross-functional teams spanning AI, data, backend, and product; mentored MSc students at UCL.

• ● Rebuilt platform from monolith to containerised microservices (Docker, Celery, Flask), enabling scalability to 2M+ users with 18% higher engagement.

• ● Managed a 25-engineer team, implementing progression frameworks and OKRs to drive performance.

• ● Led collaborations with hospitals and medical universities, aligning AI product features with clinical needs.