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Peeyusha Shelake

Peeyusha Shelake

AI Engineer | LLM, RAG & Agentic AI

Talent
PUNEMember since June 5, 2026
PythonAWSDockerAWS EC2S3LangChainLangGraphLLMsAgentic AIPrompt EngineeringEmbeddingsMulti-agent systemsPrompt regressionTensorFlowMLFlowFastAPI
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PythonAWSDockerAWS EC2S3

About

I am an AI Engineer with nearly 2.7 years of relevant experience in creating innovative AI solutions. My professional journey has equipped me with deep knowledge of LLMs, RAG frameworks, and multi-agent systems.

At Verizon Data Services India Pvt

Ltd, I excelled in developing AI-driven applications with a strong focus on prompt engineering and user-driven outcomes. I thrive in collaborative environments and am passionate about leveraging technology to solve complex problems.

Experience

AI/ML Engineer - Verizon Data Services Pvt Ltd India

(2023-06 - 2025-12)

Telecommunication services and solution provider

  • Designed and implemented end-to-end Generative AI solutions aligned with telecom and enterprise use cases
  • Built LLM-powered applications capable of understanding complex user queries and generating context-aware responses
  • Architected Retrieval-Augmented Generation (RAG) pipelines combining LLMs with enterprise document retrieval to ensure factual and grounded responses
  • Implemented document ingestion pipelines including chunking strategies, embedding generation, and vector storage
  • Developed Agentic AI workflows using LangChain and LangGraph, orchestrating multiple agents for query understanding, retrieval, reasoning, and response synthesis
  • Engineered robust prompt templates to reduce hallucinations, enforce response structure, and improve answer accuracy
  • Exposed GenAI capabilities through REST APIs using FastAPI and Flask for real-time consumption
  • Containerized GenAI services using Docker and deployed them on AWS EC2 for scalable inference
  • Leveraged AWS S3 for document storage and embedding persistence; explored SageMaker for experimentation and model hosting
  • Collaborated closely with backend, data, and product teams to integrate GenAI solutions into existing platforms
  • Performed continuous evaluation and refinement of GenAI systems based on latency, relevance, and user feedback

Education

BTech - Annasaheb Dange College of Engineering and Technology (2019 - 2022) Sangli, Maharashtra

Diploma - Government Polytechnic Satara (2016 - 2019) Satara, Maharashtra

S.S.C - Chhatrapati Shivaji Vidyalaya (2015 - 2016) Sangli, Maharashtra

Skills

AI EngineerLLMRAG & Agentic AI

Reviews

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