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Kingsley Torlowei
Senior Software Engineer specializing in AI systems and data platforms
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About
Built and productionized LLM agents that ingest multi-source workplace data (Slack, meetings, calendars, PM tools) to extract entities (tasks/decisions/risks/initiatives) and generate customer insights like risk alerts, deadline-miss prediction with evidence, and workload overload detection. Also architected a graph-DB-backed multi-step agent using LangChain + Pydantic with async queue/worker execution and LLM-as-judge evaluation plus human review loops.
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Key Strengths
- Shipped production LLM workflows with autoscaling, multi-region availability, and CI/CD + feature flags
- Designed RAG pipelines with LLM verification to reduce vector-search false positives
- Built multi-step agent workflows with tool/function calling, structured outputs (Pydantic), and LangChain orchestration/state management
- Implemented evaluation/monitoring loops using LLM-as-judge scoring plus human review for low-confidence cases
- Applied graph database traversal for complex customer Q&A/task automation
- Created customer-facing operational insights (risks, deadline slippage, workload overload) with supporting evidence
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