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Shree Gopalakrishnan

Entry-Level AI/ML Engineer specializing in LLM apps, RAG pipelines, and production ML systems

iFrog Marketing SolutionsUC San Diego1 Years ExperienceEntry LevelWorks On-Site

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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.

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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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Experience

Full Stack EngineeriFrog Marketing Solutions · Jul 2025 – Present
Machine Learning InternServiceMob · Jun 2024 – Oct 2024internship
Software Engineering InternMercury Alert AI · May 2024 – Aug 2024internship

Education

UC San Diegobachelor, Computer Science (2025)

Awards

  • 2nd place - UCSD MVP competition

Skills

Machine LearningLangChainRetrieval-Augmented Generation (RAG)OpenAI APIHugging FacePyTorchPandasNumPyPythonJavaScriptTypeScriptSQLFastAPIPostgreSQLRedis

Languages

English

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Connect with Shree

Shree already has a relationship with Reval, so a warm intro from us gets a much better response than cold outreach.

Typically responds within 24 hours

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Hire with Reval

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Shree GopalakrishnanEntry-Level AI/ML Engineer specializing in LLM apps, RAG pipelines, and production ML systems