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Samarth Saxena
Mid-level AI Engineer specializing in LLMs, RAG, and content automation
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About
AI/LLM engineer who built a production autonomous GenAI content ecosystem that generates short-form scripts, extracts viral highlights from long-form video, and dubs content into 33+ languages. Focused on making LLM outputs production-safe via schema enforcement, token-to-time alignment, critic-agent verification, and scalable async orchestration—cutting manual workflows by ~90% and saving $200k+ annually.
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Key Strengths
- Built and deployed autonomous GenAI content pipeline using Gemini/Claude/ElevenLabs
- Reduced manual editing/localization workflow by ~90% via human-in-the-loop automation
- Saved company $200k+ annually by replacing contractors with production pipeline
- Engineered deterministic behavior in non-deterministic LLM workflows (token-to-time heuristic + critic verification)
- Implemented robust schema-validated JSON outputs with automatic retry/correction to prevent pipeline crashes
- Designed scalable async orchestration with queues, webhooks, and exponential backoff for rate limits/timeouts (100% uptime on high-traffic days)
- Established rigorous AI evaluation: golden datasets, CI/CD regression scoring with LLM-as-judge, and production pass@1 tracking
- Strong cross-functional delivery with non-technical stakeholders (PRD, sign-offs, live demos) driving immediate adoption
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