• Architecting a full-stack agentic platform from zero, designing multi-step LLM orchestration pipelines with tool-calling and structured JSON outputs to make agent decisions consistent, machine-readable, and auditable end-to-end.
• Building an observability layer to trace agent decisions, actions, and outputs across distributed workflows, enabling complete attribution of actions to specific agents.
• Designing agent identity and credentialing systems to support reliable, auditable agent attribution across distributed workflows.
• Built SQL/Hive pipelines processing 1M+ daily financial transactions, designing audit-ready data models for traceability across a QAR 30M+ monthly remittance platform.
• Developed observability tooling and KPI dashboards surfacing QAR 2M+ in revenue signals, with alerting on anomalous transaction patterns across 8 financial corridors.
• Engineered a TypeScript ranking system with full event logging, enabling complete traceability of user actions and referral flows at scale.
• Built Node.js/Express and PostgreSQL APIs with full audit logging and event sourcing, handling 10K+ daily transactional events with complete replay capability.
• Designed multi-agent coordination systems with task allocation and real-time state visibility, optimizing distributed robot operations across a simulated environment.
• Built automated task assignment pipelines with event-driven triggers, improving distribution reliability across agent nodes.
• Wrote unit tests and observability hooks across a multi-module C++ system to increase reliability of distributed agent components.