You will get a custom AI multi-agent system or LLM integration with APIs
Project details
Unlock the power of autonomous AI with a custom-engineered multi-agent system or Large Language Model (LLM) integration tailored to automate your business workflows or security processes.
As an experienced AI & Software Engineer with a strong background in autonomous system architectures (such as the Hades decision-tree security system), I specialize in building intelligent, agentic workflows that go beyond simple chat interfaces. I weave together advanced models (Claude 3.5 Sonnet, Gemini 2.5 Pro/Flash, GPT-4o) with powerful tools and robust backends (Python, FastAPI, SQLite) to deliver reliable, self-improving AI ecosystems.
With this project, you will receive:
• Custom multi-agent architectures (CrewAI, LangChain, or custom tree-based reasoning) designed for autonomous decision-making.
• Secure LLM API integration with robust prompt engineering and retrieval-augmented generation (RAG) for local data memory.
• Seamless backend API development (FastAPI/Uvicorn) and optional modern web dashboards (Vite + React) for live reasoning visualization.
• Production-grade deployment and comprehensive safety/guardrail implementations.
As an experienced AI & Software Engineer with a strong background in autonomous system architectures (such as the Hades decision-tree security system), I specialize in building intelligent, agentic workflows that go beyond simple chat interfaces. I weave together advanced models (Claude 3.5 Sonnet, Gemini 2.5 Pro/Flash, GPT-4o) with powerful tools and robust backends (Python, FastAPI, SQLite) to deliver reliable, self-improving AI ecosystems.
With this project, you will receive:
• Custom multi-agent architectures (CrewAI, LangChain, or custom tree-based reasoning) designed for autonomous decision-making.
• Secure LLM API integration with robust prompt engineering and retrieval-augmented generation (RAG) for local data memory.
• Seamless backend API development (FastAPI/Uvicorn) and optional modern web dashboards (Vite + React) for live reasoning visualization.
• Production-grade deployment and comprehensive safety/guardrail implementations.
AI Development Type
Knowledge Representation, Model Tuning, Recommendation SystemAI Tools
Apache MXNet, Chainer, Deeplearning4j, Google AutoML, NVIDIA AI Platform, OpenCV, PyBrain, PyTorch, Sonnet, TensorFlowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$350
|
Standard
$850
|
Advanced
$1,850
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 21 days |
AI Model Integration | |||
Detailed Code Comments | |||
Knowledge Graph | - | - | |
Model Documentation | - | ||
Ontology | - | - | |
Source Code | |||
Taxonomy | - |
Frequently asked questions
About Joel
Offensive Security & AI Engineer | Penetration Tester | CVE Researcher
Jakarta, Indonesia - 4:36 pm local time
Specialized in Web, API, Mobile (iOS/Android), Network, Cloud, and Active Directory security testing, with a strong focus on identifying complex vulnerabilities beyond automated scanner capabilities. Also experienced in developing AI-driven security tools, automation frameworks, and DevSecOps security integrations.
Key Qualifications:
* 14+ published CVEs (XSS, Path Traversal, DoS)
* Hall of Fame recognition from IBM, SAP, Indeed, and Cambridge University
* CEH Master, CEH Practical, and Certified Ethical Hacker
* Ranked 2nd in Indonesia and Top 100 globally in OffSec Echo Response Blue Team Challenges (2025–2026)
Technical Skills:
Python, Java, Bash, PowerShell, Burp Suite, Metasploit, Nmap, CI/CD Security, SAST, DAST, IAST, OWASP Top 10, Vulnerability Research, Security Automation, and AI/ML Security Solutions.
Available for penetration testing, security assessments, vulnerability research, secure code review, security automation, and DevSecOps implementation.
Steps for completing your project
After purchasing the project, send requirements so Joel can start the project.
Delivery time starts when Joel receives requirements from you.
Joel works on your project following the steps below.
Revisions may occur after the delivery date.
Architecture Design & Use-Case Analysis
Analyzing your specific requirements, defining agent roles, establishing decision-tree workflows, and designing the integration blueprint.
Core Agent & Prompt Engineering
Implementing LLM integrations (Gemini/Claude/GPT), developing agent reasoning loops, and refining systemic prompts and guardrails.