You will get AI Agents - Multi-Agent & Multi-modal Architectur
Project details
I specialize in designing production-grade multi-agent AI systems, delivering comprehensive architectures within 14 days.
𝐖𝐡𝐚𝐭 𝐘𝐨𝐮'𝐥𝐥 𝐑𝐞𝐜𝐞𝐢𝐯𝐞:
• Multi-agent architecture design with roles, capabilities, and interaction patterns (3-7 agents)
• Framework evaluation comparing NeMo, LangChain, and AutoGen
• Communication protocols for message passing, state management, and coordination
• RAG implementation strategy for knowledge base integration
• Monitoring framework for performance tracking and debugging
• Deployment blueprint with infrastructure and scaling strategies
• 30-day implementation roadmap with phased milestones
My work ensures production-ready architectures with robust orchestration, clear protocols, and actionable roadmaps. I deliver specifications for your team to implement, or partner on full development ($30K-60K range).
𝐑𝐄𝐋𝐄𝐕𝐀𝐍𝐓 𝐄𝐗𝐏𝐄𝐑𝐈𝐄𝐍𝐂𝐄:
Due diligence pipeline automation (document analysis, data extraction, risk assessment) and healthcare services orchestration (patient data coordination, compliance monitoring, multi-system integration).
𝐖𝐡𝐚𝐭 𝐘𝐨𝐮'𝐥𝐥 𝐑𝐞𝐜𝐞𝐢𝐯𝐞:
• Multi-agent architecture design with roles, capabilities, and interaction patterns (3-7 agents)
• Framework evaluation comparing NeMo, LangChain, and AutoGen
• Communication protocols for message passing, state management, and coordination
• RAG implementation strategy for knowledge base integration
• Monitoring framework for performance tracking and debugging
• Deployment blueprint with infrastructure and scaling strategies
• 30-day implementation roadmap with phased milestones
My work ensures production-ready architectures with robust orchestration, clear protocols, and actionable roadmaps. I deliver specifications for your team to implement, or partner on full development ($30K-60K range).
𝐑𝐄𝐋𝐄𝐕𝐀𝐍𝐓 𝐄𝐗𝐏𝐄𝐑𝐈𝐄𝐍𝐂𝐄:
Due diligence pipeline automation (document analysis, data extraction, risk assessment) and healthcare services orchestration (patient data coordination, compliance monitoring, multi-system integration).
AI Algorithms
Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI Content Creation, AI Text-to-Image, AI Text-to-Speech, AI-Enhanced Classification, AI-Enhanced Medical Imaging, AI-Generated Art, AI-Generated Video, Conversational AI, Image Processing, Image RecognitionAI Development Language
PythonAI Tools
Azure OpenAI, Bing AI, GitHub Copilot, Gradio, Hugging Face, Microsoft 365 Copilot, NVIDIA AI Platform, PyTorch, Streamlit, TensorFlowAI Models
ChatGPT, DALL-E, GPT-3, GPT-4, LLaMA, Midjourney AI, OpenAI Codex, WhisperWhat's included
| Service Tiers |
Starter
$999
|
Standard
$2,500
|
Advanced
$7,500
|
|---|---|---|---|
| Delivery Time | 6 days | 14 days | 25 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | |||
Batch Normalization | |||
Database Integration | |||
Detailed Code Comments | |||
Image Upscaling | - | - | |
MLOps | - | ||
Model Deployment | - | ||
Model Documentation | |||
Model Monitoring | - | - | |
Model Testing & Optimization | - | - | |
Model Tuning | - | - | - |
Natural Language Processing | - | - | |
NLP Tokenization | - | ||
Pre-Training | - | - | - |
Prompt Engineering | |||
Setup File | - | ||
Source Code |
About Dilane
Full-Stack Engineer | LLM, RAG Systems & Scalable AI Products
Frederick, United States - 1:59 am local time
𝗪𝗵𝗮𝘁 𝗜 𝗗𝗼:
I handle the complete technical lifecycle: frontend interfaces, backend APIs, LLM integrations, vector databases, cloud infrastructure, and deployment pipelines. Whether you need a customer-facing AI copilot, an internal knowledge platform, or a complex multi-agent system, I architect and deliver end-to-end solutions that work in production, not just demos.
𝗣𝗿𝗼𝘃𝗲𝗻 𝗥𝗲𝘀𝘂𝗹𝘁𝘀 𝗔𝗰𝗿𝗼𝘀𝘀 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗲𝘀:
I've delivered AI solutions for Finance, Healthcare, Telehealth, Education, and Marketing clients - from startups to Fortune 500 enterprises.
✅ 40% reduction in audit workload through intelligent automation
✅ 3x increase in SaaS user engagement with AI copilot features
✅ 40+ performance metrics extracted from call analysis pipelines
✅ Production RAG assistant serving thousands of telehealth users
✅ Medical record processing agent cutting review time from hours to minutes
𝗙𝘂𝗹𝗹-𝗦𝘁𝗮𝗰𝗸 𝗔𝗜 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀:
🔹𝑨𝑰 𝑨𝒈𝒆𝒏𝒕 𝑫𝒆𝒗𝒆𝒍𝒐𝒑𝒎𝒆𝒏𝒕 - Custom autonomous agents, multi-agent orchestration, tool-calling systems
🔹𝑹𝑨𝑮 & 𝑲𝒏𝒐𝒘𝒍𝒆𝒅𝒈𝒆 𝑺𝒚𝒔𝒕𝒆𝒎𝒔 - Semantic search, retrieval pipelines, vector databases, knowledge graphs
🔹𝑳𝑳𝑴 𝑰𝒏𝒕𝒆𝒈𝒓𝒂𝒕𝒊𝒐𝒏 - OpenAI, Anthropic Claude, Llama, fine-tuning, prompt engineering, function calling
🔹𝑭𝒖𝒍𝒍-𝑺𝒕𝒂𝒄𝒌 𝑫𝒆𝒗𝒆𝒍𝒐𝒑𝒎𝒆𝒏𝒕 - React/Next.js frontends, Python/Node.js backends, REST/GraphQL APIs
🔹𝑷𝒓𝒐𝒅𝒖𝒄𝒕𝒊𝒐𝒏 𝑰𝒏𝒇𝒓𝒂𝒔𝒕𝒓𝒖𝒄𝒕𝒖𝒓𝒆 - AWS/Azure deployment, Docker containerization, CI/CD pipelines, monitoring
🔹𝑴𝑽𝑷 𝒕𝒐 𝑺𝒄𝒂𝒍𝒆 - Rapid prototyping with production-grade architecture from day one
𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗦𝘁𝗮𝗰𝗸:
• 𝑨𝑰/𝑴𝑳 𝑭𝒓𝒂𝒎𝒆𝒘𝒐𝒓𝒌𝒔: LangChain, LangGraph, LlamaIndex, HuggingFace, OpenAI API, Anthropic API
• 𝑳𝒂𝒏𝒈𝒖𝒂𝒈𝒆𝒔: Python, JavaScript, TypeScript, SQL
• 𝑭𝒓𝒐𝒏𝒕𝒆𝒏𝒅: React, Next.js, Tailwind CSS
• 𝑩𝒂𝒄𝒌𝒆𝒏𝒅: FastAPI, Django, Node.js, Express, Nest.js
• 𝑫𝒂𝒕𝒂𝒃𝒂𝒔𝒆𝒔: PostgreSQL, MongoDB, Pinecone, Weaviate, ChromaDB
• 𝑪𝒍𝒐𝒖𝒅 & 𝑫𝒆𝒗𝑶𝒑𝒔: AWS (Lambda, ECS, S3, Bedrock), Azure, Docker, GitHub Actions, CI/CD
𝗪𝗵𝘆 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗖𝗵𝗼𝗼𝘀𝗲 𝗠𝗲:
✔ 𝐄𝐧𝐝-𝐭𝐨-𝐞𝐧𝐝 𝐨𝐰𝐧𝐞𝐫𝐬𝐡𝐢𝐩 - I don't just build backends; I deliver complete, user-ready solutions
✔ 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧-𝐟𝐢𝐫𝐬𝐭 𝐦𝐢𝐧𝐝𝐬𝐞𝐭 - Clean code, proper testing, scalable architecture, comprehensive documentation
✔ 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐢𝐦𝐩𝐚𝐜𝐭 𝐟𝐨𝐜𝐮𝐬 - I measure success by metrics that matter: time saved, revenue generated, users engaged
✔ 𝐂𝐥𝐞𝐚𝐫 𝐜𝐨𝐦𝐦𝐮𝐧𝐢𝐜𝐚𝐭𝐢𝐨𝐧 - Regular updates, technical clarity without jargon, realistic timelines
𝐋𝐞𝐭'𝐬 𝐁𝐮𝐢𝐥𝐝 𝐒𝐨𝐦𝐞𝐭𝐡𝐢𝐧𝐠 𝐈𝐦𝐩𝐚𝐜𝐭𝐟𝐮𝐥
I offer a complimentary 30-minute consultation to understand your requirements and outline a technical approach. If we're a fit, I'll deliver a solution that works reliably in production and drives real business value.
𝗦𝗸𝗶𝗹𝗹𝘀
𝐀𝐈/𝐌𝐋 𝐂𝐨𝐫𝐞:
• Artificial Intelligence
• Machine Learning
• Large Language Models (LLM)
• Natural Language Processing
• Retrieval-Augmented Generation (RAG)
• AI Agent Development
• Prompt Engineering
• OpenAI API
• LangChain
𝐅𝐮𝐥𝐥-𝐒𝐭𝐚𝐜𝐤 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭:
• Python
• JavaScript
• TypeScript
• React
• Next.js
• Node.js
• FastAPI
• API Development
• RESTful API
𝐃𝐚𝐭𝐚 & 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞𝐬:
• PostgreSQL
• MongoDB
• Vector Databases
• SQL
• Data Engineering
𝐂𝐥𝐨𝐮𝐝 & 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞:
• Amazon Web Services (AWS)
• Microsoft Azure
• Docker
• CI/CD
• DevOps
• Cloud Architecture
𝐃𝐨𝐦𝐚𝐢𝐧 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞:
• Healthcare Technology
• SaaS Development
• Enterprise Software
• Automation
• System Integration
Steps for completing your project
After purchasing the project, send requirements so Dilane can start the project.
Delivery time starts when Dilane receives requirements from you.
Dilane works on your project following the steps below.
Revisions may occur after the delivery date.
Agent Ecosystem Design (Days 1-3)
Work through the specification, Role definition, capability mapping, interaction patterns
Build infrastructure (Days 4-9)
Choose frameworks and build the infrastructure of the agents