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Priyanshu User

@priyanshuuser6

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AI developer specializing in RAG, LLM integrations, and backend systems for production deployment.

India

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What I'm looking for

I seek roles building production-ready AI systems (RAG/LLMs/NLP) with strong engineering practices, cloud deployment, and client-facing impact.

I am an AI developer with hands-on experience building RAG-based chatbots, LLM-driven assistants, and backend services using FastAPI, Django and related stacks. I have delivered solutions sold to clients and helped build production backends for multiple projects.

My work includes end-to-end design and execution of LangGraph agents (meeting assistants, lead-qualification, performance analysis) and RAG website assistants, combining embeddings, vector stores and retrieval to improve information access. I have implemented compliance-monitoring pipelines using NLP, Elasticsearch and data-processing tools.

I focus on practical, deployable AI: integrating models, embeddings, vector DBs, and cloud infrastructure (AWS EC2/S3), with attention to developer workflows, scalability, and measurable client outcomes.

Experience

Work history, roles, and key accomplishments

Current

AI Project Lead

Current

Personal Projects

May 2025 - Present (6 months)

Designed and built multiple AI agents and assistants (Employee Performance Analyzer, RAG-based Website Assistant, Compliance Monitoring System) using LangGraph, OpenAI/Gemini, vector DBs and NLP pipelines to improve task allocation and information retrieval.

LangGraph OpenAI Gemini Sentence Transformers Pinecone SpaCy NLTK fastAPI Django

AI Development Intern

Pageup Software Pvt Ltd

Apr 2025 - Sep 2025 (5 months)

Built a RAG-based chatbot generator sold to 6+ tourism and education firms in Germany and supported backend development for 4+ client projects using FastAPI, Django and .NET.

RAG LangGraph fastAPI Django .NET Vector Databases MongoDB Deployment

Education

Degrees, certifications, and relevant coursework

Gyan Ganga Institute of Technology & Sciences

Bachelor of Technology, Computer Science and Engineering (AIML)

2022 -

Grade: CGPA: 7.97

Pursuing B.Tech in Computer Science and Engineering with specialization in AIML; coursework and projects focus on NLP, RAG systems, and full-stack AI application development.