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Fiverr Pro
English
$
USD
I will build rag systems and ai agents for data analytics using langchain
Jessay
About this gig
Are you looking to build intelligent AI systems that can reason over your data? I specialize in building production-grade RAG (Retrieval-Augmented Generation) systems and AI agents using LangChain, LangGraph, and leading LLM frameworks.
With expertise in vector databases (Pinecone, Weaviate, Chroma, FAISS), OpenAI GPT-4, and open-source LLMs (Llama, Mistral), I design end-to-end AI pipelines that connect your data to powerful language models.
What I Build:
RAG pipelines with semantic search and vector stores
Multi-agent systems using LangGraph with memory and tool use
Q&A chatbots over documents, databases, and APIs
Evaluation frameworks using RAGAS and LangSmith
API integration and deployment on AWS or Azure
Tech Stack:
LangChain, LangGraph, LlamaIndex
OpenAI GPT-4, Claude, Llama 3, Mistral
Pinecone, Weaviate, ChromaDB, FAISS
Python, FastAPI, Docker, AWS, Azure
Why Work With Me:
8+ years of data engineering and AI experience
Enterprise delivery at Alcon and Publicis Sapient
Production-ready, well-documented, tested code
Clear communication and on-time delivery
Let's build your intelligent AI system together!
Get to know Jessay
Jessay
Senior Data Engineer: AWS, Azure, Spark, ETL Pipelines and Data Architecture
- FromIndia
- Member sinceApr 2025
- Avg. response time1 hour
- Last delivery3 months
Languages
Malayalam, English
Struggling with slow pipelines or messy data? I design and build scalable ETL pipelines that deliver real results. With 5+ years on AWS and Azure, I specialize in Databricks, Apache Spark, AWS Glue, and Azure Data Factory. I have built production-grade data warehouses, optimized Spark performance, and integrated Hadoop, Hive, and HBase environments. Stack: Python, PySpark, Scala, SQL, S3, Lambda, Step Functions, Azure Data Lake Gen2, Redshift, PostgreSQL. Ready to turn your raw data into clean, actionable insights.
My Portfolio
FAQ
What vector databases do you support for RAG systems?
I support Pinecone, Weaviate, ChromaDB, FAISS, and pgvector. I choose the best option based on your use case — Pinecone for managed cloud, FAISS for local/lightweight, and Weaviate or pgvector for hybrid search needs.
Can you integrate the AI agent with my existing application or API?
Yes! I build AI agents with FastAPI backends that can be integrated into web apps, Slack bots, or any REST API. I handle authentication, streaming responses, and deployment on AWS Lambda or Azure Functions.
