You will get a clinically validated multi-agent AI system for pharma and biotech
Project details
Multi-agent AI systems built specifically for pharma, biotech, and regulated clinical environments — where AI output accuracy isn't optional.
I bring a three-layer validation stack that no generalist developer can match:
• Technical — MSc Bioinformatics & AI (top of cohort), 16 Anthropic certifications
• Clinical — reviewed by Dr. Sergio Sosa, MD neurologist
• Regulatory — co-designed with David González Mercade, ISO 13485/27001/14971 auditor
What makes this different from a standard AI build:
• Agents are validated against clinical reference cases — not just benchmarks
• Architecture is EU AI Act-ready from day one
• GCP (ICH E6R3) and ISO 14155 & 42001 compliant workflows
• Filesystem-first: your sensitive data never leaves your infrastructure
• Source code, prompts and validation docs delivered — fully yours
Built for: pharma consultancies, biotech RD teams, CROs, MedTech companies seeking AI acceleration without regulatory risk.
I bring a three-layer validation stack that no generalist developer can match:
• Technical — MSc Bioinformatics & AI (top of cohort), 16 Anthropic certifications
• Clinical — reviewed by Dr. Sergio Sosa, MD neurologist
• Regulatory — co-designed with David González Mercade, ISO 13485/27001/14971 auditor
What makes this different from a standard AI build:
• Agents are validated against clinical reference cases — not just benchmarks
• Architecture is EU AI Act-ready from day one
• GCP (ICH E6R3) and ISO 14155 & 42001 compliant workflows
• Filesystem-first: your sensitive data never leaves your infrastructure
• Source code, prompts and validation docs delivered — fully yours
Built for: pharma consultancies, biotech RD teams, CROs, MedTech companies seeking AI acceleration without regulatory risk.
AI Algorithms
Large Language ModelAI Applications
AI Chatbot, AI-Enhanced Medical Imaging, AIOps, Conversational AI, Image Recognition, Natural Language Generation, Sequence Modeling, Synthetic Data Generation, Text RecognitionAI Development Language
PythonAI Models
ChatGPT, GPT-4, LLaMA, OpenAI CodexWhat's included
| Service Tiers |
Starter
$9,500
|
Standard
$20,000
|
Advanced
$50,000
|
|---|---|---|---|
| Delivery Time | 40 days | 70 days | 70 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 - 8:23 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.
Clinical & regulatory design review
I map your workflows, regulatory constraints (EU AI Act, GCP, ISO), and define agent architecture + validation protocol before any build starts. Shared as a co-signed design doc.