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Mayank VYAS
Mid-level AI/ML Engineer specializing in LLM agents, RAG retrieval, and IoT ML systems
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About
Built production LLM-driven products including a job-hunt AI (job ranking + resume optimization) and an InterviewAI agentic pipeline using LangChain. Focused on practical deployment concerns like securing OpenAI usage via rate limiting and tiered quotas, and demonstrates an applied approach to choosing models, retrieval methods (RAG), and prompting strategies.
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Key Strengths
- Built and deployed end-to-end LLM product for job search and resume optimization
- Designed API protections to prevent LLM/API abuse (implemented rate limiting and tiered usage caps)
- Hands-on experience building agentic, multi-agent workflows using LangChain
- Pragmatic model/retrieval/prompting selection based on problem type (code-gen vs RAG)
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Experience
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Publications
4 publications
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