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Priya Naik

@priyanaik

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I build LLM-powered applications for research, resume analysis, and video question-answering.

India

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What I'm looking for

I'm looking for an opportunity to build practical LLM-powered applications, RAG pipelines, multi-agent systems, and AI workflow automation while growing as a Generative AI Engineer.

I build LLM-powered applications using Python, LangChain, LangGraph, RAG, multi-agent systems, and agentic AI.

I deployed a multi-agent research system that uses LangGraph and Groq LLMs to coordinate planning, research, analysis, and report generation through structured workflows.

I also developed an AI resume analyzer with Google Gemini and Streamlit to assess ATS compatibility, identify skill gaps, and provide personalized recommendations from uploaded PDF resumes.

For an AI video assistant, I combined Whisper transcription, Mistral summarization, ChromaDB, and Hugging Face embeddings to enable context-aware Q&A over video transcripts. I integrated yt-dlp, pydub, FFmpeg, and PDF/TXT export for end-to-end video and audio processing.

Experience

Work history, roles, and key accomplishments

Entry-Level GenerativeAI Engineer

N.D.R.K Institute of Technology

Entry-level GenerativeAI Engineer with hands-on experience building LLM-powered applications using Python, LangChain, LangGraph, RAG, Multi-Agent Systems, and AgenticAI. Skilled in developing AI solutions involving speech-to-text, video processing, semantic search, vector databases, and AI workflow automation.