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Prachi

Prachi

GenAI Engineer | AI Engineer | Conversational AI & Agentic Systems | LLM Applications & RAG Pipelines | Oracle Certified GenAI Professional

Talent
PuneMember since July 5, 2026
PythonObject-Oriented ProgrammingType HintingSQLLangGraphPrompt EngineeringOpenAI APIGPT-4LLaMAMistralTogetherAILangChainRetrieval-Augmented GenerationVector SearchEmbeddingsFAISSpgvectorFastAPIAsyncPostgreSQLNode.jsReactASP.NETMEAN stackGoogle Maps API
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PythonObject-Oriented ProgrammingType HintingSQLLangGraph

About

AI Engineer with 3+ years of experience designing and deploying LLM-powered conversational agents, goal-oriented agentic AI architectures, and Retrieval-Augmented Generation (RAG) pipelines in production. Proficient in Python (object-oriented programming, type hinting, asynchronous patterns), prompt engineering, context/memory management, and tool/function-calling design for LLM-to-API integration.

Delivered measurable enterprise impact: 85% reduction in query handling time and 350+ hours saved per month via AI automation.

Oracle Certified

Generative AI Professional (2025).

Experience

AI Engineer at KEC International (2023-06 – Present)

  • Architected SAGE, a modular GenAI platform with an LLM chatbot, goal-oriented agentic AI workflows, and RAG-based document QA (LangChain, FAISS, pgvector), cutting query handling time by 85% across 4 departments.
  • Built a Procurement GenAI Chatbot (FastAPI async APIs, LangGraph, OpenAI API) using tool/function-calling design so the LLM could invoke backend pricing and vendor APIs, automating 90% of vendor and pricing queries and saving 150+ hours per month.
  • Designed a Document QA system using LangChain, RAG, vector embeddings, and pgvector, enabling employees to query internal PDFs and reducing support tickets by 70%.
  • Integrated GPT-4, LLaMA, Mistral, and TogetherAI with agentic AI patterns, prompt engineering, and conversational context/memory management to build multi-step reasoning pipelines over internal knowledge bases.
  • Automated GST reconciliation using RPA bots, eliminating 98% of manual workload and saving 200+ hours per month.
  • Built a GPS-based Geofence Attendance System (ASP.NET, Google Maps API) for 5,000+ users, improving location accuracy by 95% and reducing manual effort by 90%.

Junior Software Engineer at Zensar Technologies (2022-08 – 2023-05)

  • Developed an Exam Portal using the MEAN stack with real-time scoring, reducing exam setup time by 70%.
  • Built a No-Code Static Site Generator using Node.js and React, cutting website development time by 80%.

Education

B.Tech in Electronics & Communication Engineering – Vishwakarma Institute of Information Technology, Pune (2018 – 2022)

Skills

GenAI EngineerAI EngineerConversational AI & Agentic SystemsLLM Applications & RAG PipelinesOracle Certified GenAI Professional

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