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Shree Gopalakrishnan
Entry-Level AI/ML Engineer specializing in LLM apps, RAG pipelines, and production ML systems
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About
AI/LLM practitioner at iFrog Marketing Solutions who drove a RAG chatbot from prototype to production in a legacy, AI-resistant environment by validating customer needs and building a business case. Implemented production-grade LLM practices (CI/CD eval gating, rollbacks, prompt/context engineering) and led internal workshops to bring non-AI-native developers up to speed while partnering with sales on tailored demos to drive adoption.
Experience
Education
Key Strengths
- Took an internal org from AI-resistant to adopting a production RAG solution via customer research and a validated business case
- Iterative prototype-to-production delivery with phased client rollouts and feedback-driven improvements
- Resolved model overfitting under data/consent constraints by redesigning training/testing approach and expanding evaluation samples
- Built/used CI/CD with automated LLM eval gating and rollback to maintain service continuity during live customer usage
- Strong production mindset in demos (scalability, reliability, observability, graceful failure, prompt-injection awareness)
- Able to upskill non-AI-native developers by mapping AI engineering concepts to DevOps practices
- Effective sales partnership through tailored demos and prototypes to drive adoption/close deals
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