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Nihar Turlapati

Intern-level Software Engineer specializing in AI/ML systems

UPSPurdue UniversityFrankfort, KY2 Years ExperienceIntern LevelWorks On-Site

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About

Built production LLM/RAG systems during a UPS internship, including a shipment knowledge agent used across 15+ hubs worldwide and a multi-agent PDF RAG workflow. Stands out for combining hands-on enterprise integration with rigorous evaluation, hallucination reduction, and efficient fine-tuning techniques like LoRA.

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Key Strengths

  • Built production RAG agent at UPS for shipment knowledge retrieval across 15+ hubs worldwide
  • Architected multi-agent workflows with ingestion, retrieval, and answer orchestration
  • Strong grounding and hallucination mitigation in LLM systems
  • Designed structured tool calling with JSON schema validation and retry handling
  • Applied LoRA fine-tuning to reduce overhead by nearly 40%
  • Built offline eval frameworks using recall, MRR, and faithfulness metrics
  • Improved shipment update performance by 18%
  • Reduced hallucination rate by 20% through hierarchical context packaging and citation constraints
  • Experience integrating LLM agents into enterprise N-tier and streaming systems
  • Handled messy operational data and privacy-sensitive shipment information

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Experience

AI Software Engineer InternUPS · Jun 2025 – Feb 2026internship
Machine Learning ResearcherPurdue University · Aug 2024 – May 2025
Software Engineer InternCommonwealth of Kentucky · May 2024 – Aug 2024internship
Data Science ResearcherPurdue University · Aug 2023 – May 2024

Education

Purdue Universitybachelor, Computer Science (2026)

Languages

English

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Nihar TurlapatiIntern-level Software Engineer specializing in AI/ML systems