Malak Joumaa

AI Agentic Specialist: AI-powered accounting platform; AI Systems: architected production LLM document parsing pipeline replacing manual data entry. AI Safety Design: implemented a human-in-the-loop validation layer for audit trails and to ensure production accuracy. Full Stack Delivery: built end-to-end operational platform including scheduling engine, workflow history, audit trails, pause/resume controls, and external accounting service integrations; shipped end-to-end via AI-assisted workflows. MCP Toolchain: engineered custom MCP integrations, agent rules, and reusable skill definitions to deliver senior-level output with minimal overhead.

Tech Leadership: serve as primary engineering decision-maker for a team of 5, owning architecture planning, sprint delivery, code quality standards, and technical direction across the reporting platform. System Architecture: re-architected the core platform from a tightly coupled monolith to a modular multi-framework system in 4 weeks, shipped to the full enterprise client base with zero regressions. Cloud and Infrastructure: managed AWS infrastructure across EC2, ECS containers, S3 storage, and Lambda functions to support platform scalability and reliability. Performance Engineering: drove platform-wide performance gains through GraphQL query optimization, database indexing, computed columns, and frontend rendering improvements that eliminated critical bottlenecks. Product Influence: acted as the engineering voice in roadmapping, defining technical tradeoffs, unblocking feasibility decisions, and steering scope to protect long-term platform health. Mentorship: guided engineers at all

Feature Delivery: Delivered ESR S reporting module from zero to production in 6 weeks under a strict regulatory deadline, adopted across the full enterprise client base. Frontend Architecture: built complex, data-heavy reporting interfaces across ESR S, EU Taxonomy, and PA I domains using React and TypeScript, handling dynamic data structures and evolving compliance requirements. Backend and APIs: designed scalable GraphQL APIs, database schemas, and reporting workflows supporting enterprise clients with varying compliance configurations. Engineering Standards: established reusable architecture patterns across frontend, backend, and data layers as team-wide standards. Engineering Discipline: served as engineering voice in roadmapping, tradeoffs, and feasibility decisions; mentored peers and emphasized code quality.