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shubham patil

Mid-level AI Engineer specializing in Generative AI, RAG systems, and fraud analytics

Syracuse UniversitySyracuse UniversityNew York, NY4 Years ExperienceMid LevelWorks On-Site

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About

Built and deployed a RAG-based student/faculty support chatbot at a university that answers from official syllabus/policy documents and now supports 4,000+ students while reducing repetitive support requests. Hands-on with LangChain, LangGraph, and CrewAI to orchestrate reliable agentic workflows, with a strong focus on testing/monitoring in production and cross-functional delivery (e.g., marketing analytics automation at Steve Madden).

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Key Strengths

  • Built and deployed a university support RAG chatbot serving 4,000+ students
  • Improved relevance via chunking/retrieval logic refinement and context usage tuning
  • Optimized system performance to maintain fast responses during peak usage
  • Designed clarification flows to handle ambiguous/vague user questions
  • Uses LangChain/LangGraph to create modular, testable, reliable LLM workflows with clear decision points
  • Production-minded evaluation: step isolation tests, end-to-end test suites, and monitoring of accuracy/latency/fallbacks
  • Effective collaboration with non-technical marketing stakeholders; translated business goals into metrics and dashboards

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Experience

AI EngineerSyracuse University · Jun 2025 – Present
Generative AI Engineer InternSteve Madden Ltd. · Jun 2024 – Aug 2024internship
Senior Data ScientistInfosys Limited · Aug 2022 – Jul 2023
Data ScientistInfosys Limited · Jun 2021 – Jul 2022
Data Scientist InternIncredible Solutions · Nov 2020 – Jun 2021internship

Education

Syracuse Universitymaster, Information Systems
University of Mumbaibachelor, Computer Engineering

Languages

English

Certifications

Azure Data Engineer Associate (DP-203)OCI Generative AI (1Z0-1127-25)Power BI Data Analyst Associate (PL-300)

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Connect with shubham

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Typically responds within 24 hours

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shubham patilMid-level AI Engineer specializing in Generative AI, RAG systems, and fraud analytics