I will build custom ai agents, rag pipelines, and agentic software in python

J
jospheenboles
J
jospheenboles
Jboles

About this gig

I am a Cloud-Native AI Engineer with deep expertise in AWS/Azure and Python/Django. I specialize in building Agentic Softwaresystems that don't just talk, but autonomously execute tasks, research data, and manage workflows.

What I Offer:

  • Custom AI Agents: Multi-agent systems (using CrewAI or LangGraph) that collaborate to solve complex business problems.
  • Production-Ready RAG: Retrieval-Augmented Generation pipelines using Pinecone, Milvus, or Weaviate to give your AI access to your private documents without hallucinations.
  • LLM Fine-Tuning: Tailoring models (Llama 3, GPT-4o, Mistral) for specific industry niches or specialized tones.
  • Full-Stack AI Apps: A complete web interface for your AI using Django or FastAPI, hosted securely on AWS or Azure.
  • Database Integration: Seamless connection with PostgreSQL, MySQL, or SQL Server for data-driven AI insights.

Why Choose Me?

  • Architectural Excellence: I don't just write scripts; I build scalable cloud infrastructures.
  • Agentic Specialist: I focus on "Action-Oriented" AI that can use tools, call APIs, and update databases.
  • Security First: I ensure your data remains private and your cloud environment is optimized for cost and performance.

Get to know Jboles

Jboles

agentic software

4.9(58)
  • FromEgypt
  • Member sinceMar 2016
  • Avg. response time1 hour
  • Last delivery2 years
  • Languages

    Arabic, English
I am a Cloud-Native AI Engineer specialized in building Agentic Software and scalable RAG pipelines. I bridge the gap between advanced Machine Learning and robust Cloud Infrastructure (AWS & Azure). My Expertise Includes: Agentic AI: Developing autonomous multi-agent systems using CrewAI, LangGraph, or AutoGPT to automate complex, multi-step business workflows. RAG (Retrieval-Augmented Generation): Architecting production-ready RAG systems with vector databases (Pinecone, Weaviate, Milvus) to ground LLMs in proprietary data. Fine-Tuning: Customizing LLMs (Llama 3, Mistral, GPT-4o) via PEFT