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Lavan Gajula
Mid-level GenAI Engineer specializing in LLM agents and production AI workflows
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Designed and deployed end-to-end LLM-powered AI agent systems to automate knowledge-intensive workflows across marketing/GTM, recruiting, and support. Brings production reliability rigor (evaluation pipelines, monitoring, testing, A/B experiments) plus orchestration expertise (Airflow, Prefect, custom Python) and a track record of translating non-technical stakeholder goals into working AI solutions (e.g., personalized customer engagement agent at Lara Design).
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Key Strengths
- Built and deployed production-grade LLM agent systems automating workflows across multiple business domains (marketing/GTM, recruiting, support)
- Designs modular agent architectures separating prompting, retrieval, and orchestration concerns
- Implements reliability-focused evaluation and monitoring pipelines with defined success metrics
- Strong testing discipline for AI workflows (unit, integration, sandbox/simulation) plus A/B testing in production
- Hands-on orchestration experience coordinating retrieval, prompting, inference, and multi-step agent interactions (Airflow, Prefect, custom Python)
- Effective cross-functional collaboration with non-technical stakeholders via demos, clear explanations, and iterative feedback loops
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