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Mohammad Rostom
Intern Full-Stack Software Engineer specializing in AI-powered RAG systems
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Built FlowPilot, an AI-powered product that generates complete importable n8n workflows from natural-language prompts using a RAG pipeline (Qdrant + LangChain) and a multi-stage agent with a scoring/repair 'Judge' loop for intent alignment. Experienced in backend architecture across Laravel/Node microservices and production AI/RAG systems, plus performance debugging from async job offloading to database index tuning after ORM migrations.
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Key Strengths
- Designed and built an AI workflow-generation platform (FlowPilot) end-to-end using RAG + agentic pipeline
- Diagnosed and fixed production reliability issue by moving long-running workflow generation off the request thread via async job dispatch
- Architected a multi-stage agent with planning, execution, verification, and capped retry logic for robust multi-step task completion
- Implemented quality-control loop ('Judge' scoring + repair) to improve alignment to user intent for vague prompts
- Strong production engineering practices for AI systems: typed boundaries, runtime validation, async I/O, structured logging, and eval-driven regression checks
- Database performance troubleshooting: identified over-indexing as cause of write latency regression after ORM adoption and improved write times by pruning indexes
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