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Samarth Saxena
Mid-level AI Engineer specializing in LLMs, RAG, and content automation
Los Angeles, CAAI Engineer3 years experienceMid-LevelVideo GamesEsportsMedia & Entertainment
ScreenedIdentity Verified
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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.
Experience
AI EngineerCloud9 Esports Inc.
Research AssistantUSC Information Sciences Institute
Research InternNanyang Technological University
NLP InternKoiReader Technologies
Data Science InternThe Sparks Foundation
Machine Learning InternPiltover Technologies
Education
University of Southern Californiamaster, Applied Data Science (2024)
Manipal University Jaipurbachelor, Computer Science (2022)
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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