You will get Multi-agent AI system with persistent memory
Project details
I've built a biomimetic multi-agent AI system that runs my own consultancy daily — specialized cortex agents with persistent memory across threads.
I now productize the architecture for solo consultants, founders, and small teams who want a personal AI suite that learns from every interaction.
What you get:
• Specialized agents — not one chatbot doing everything badly
• Persistent memory layer — agents remember context between sessions
• Filesystem-first architecture — your data stays yours
• Built on Claude Opus/Sonnet/Haiku, with MCP tools
• Full source code, prompts, memory schemas — yours
My background: MSc Bioinformatics & AI applied to Health (top of cohort), 16 Anthropic certifications, building production multi-agent systems daily.
I now productize the architecture for solo consultants, founders, and small teams who want a personal AI suite that learns from every interaction.
What you get:
• Specialized agents — not one chatbot doing everything badly
• Persistent memory layer — agents remember context between sessions
• Filesystem-first architecture — your data stays yours
• Built on Claude Opus/Sonnet/Haiku, with MCP tools
• Full source code, prompts, memory schemas — yours
My background: MSc Bioinformatics & AI applied to Health (top of cohort), 16 Anthropic certifications, building production multi-agent systems daily.
AI Algorithms
Large Language Model, Transformer ModelAI Applications
AI Chatbot, AIOps, Conversational AIAI Models
GPT-3, LLaMAWhat's included
| Service Tiers |
Starter
$1,500
|
Standard
$4,000
|
Advanced
$9,000
|
|---|---|---|---|
| Delivery Time | 14 days | 21 days | 35 days |
Number of Revisions | 2 | 3 | 5 |
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 | - | - | - |
Frequently asked questions
About Diego
Healthcare AI Engineer | Multi-Agent Systems | Bioinformatics & Clinic
Teruel, Spain - 5:52 pm local time
I help pharma companies, CROs, and healthtech startups automate clinical workflows, build compliant AI architectures, and ship intelligent software that meets regulatory standards (EU AI Act, FDA AI/ML, MDR/ISO 13485, ISO 42001).
WHAT I BUILD
- Multi-agent AI systems for clinical research and drug development - RAG pipelines and LLM integrations for medical knowledge bases - Clinical AI and SaMD software (MDR, ISO 13485, ICH E6(R3) compliant) - Bioinformatics pipelines: RNA-seq, WGS, genomics, methylation analysis - Full-stack web apps: React + FastAPI/Node.js backends
TECH STACK
Python · TypeScript · React · FastAPI · Docker · LangChain · OpenAI · Claude · R · SQL · Bash
RECENT PROJECTS
- Multi-agent clinical trial advisory platform (LLM + RAG + regulatory validation) - Cancer genomics pipeline: WGS variant calling + methylation analysis - EU AI Act compliance architecture for healthcare SaMD
- Automated bioinformatics QC pipeline for clinical-grade sequencing data
English (fluent) · Spanish (native) · Remote worldwide
Steps for completing your project
After purchasing the project, send requirements so Diego can start the project.
Delivery time starts when Diego receives requirements from you.
Diego works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements review & agent design
I review your submitted requirements, define agent roles, memory schema and integration map. I share a design doc for your approval before building starts.