Nil Monfort¶
AI Solutions Architect • Cloud Architect • Fitness Enthusiast
Barcelona, Catalonia, Spain
Contact
📧 nilmonfort98@gmail.com · 🔗 LinkedIn — nil-monfort-761660213
About Me¶
AI Solutions Architect helping businesses turn complex challenges into scalable, high-impact solutions.
I partner closely with stakeholders to understand the real problem before writing a single line of code, because the best technical solution is one that actually moves the needle. From algorithm development to advanced RAG systems, I design and build end-to-end AI solutions with clear ROI in mind.
What I bring to the table: Deep technical expertise in scalable, end-to-end systems (RAG platforms, agentic microservices, Cloud Infrastructure), a sharp focus on business outcomes, and the ability to translate between engineering teams and decision-makers. I've built meta-assistant tooling, LLM validation services, and data workflows that turn traces into actionable insights.
My approach: I obsess over clean architecture (hexagonal/ports-and-adapters), strong observability, and fast iteration. Previously I improved fleet-matching algorithms and shipped ML on AWS/Azure; today I apply those skills to LLM-native apps that drive measurable outcomes.
Colleagues describe me as autodidactic and relentlessly curious - I learn fast, adapt faster, and stay obsessed with delivering results.
Open to: Consulting, contract work, and strategic collaborations.
Professional Experience¶
AI Solutions Architect — knowmad mood · Barcelona, Spain¶
Oct 2025 – Present
- Conduct technical due diligence and code audits for AI codebases
- Design enterprise AI solutions for RFP responses and presales engagements
- Build internal automation tools using LangGraph and graph AI for prospect profiling
- Deploy cloud infrastructure on AWS with Terraform for automated workflows
AI Solutions Architect — Hexalon AI · Barcelona, Spain¶
Feb 2025 – Present
- Architected end-to-end AI design platform from requirements to MVP
- Multi-turn agentic workflows with 10+ LLM adapters (OpenAI, Anthropic, Gemini)
- Reduced AI generation costs by 50%+ through two-phase optimization strategy
- Real-time job polling with Celery/Redis for async processing
- Built hexagonal architecture with FastAPI backend and React/Next.js frontend
- SOLID principles, Pydantic validation, Docker Compose deployment
- Implemented AI-powered design segmentation with Grounded SAM
- 300 DPI layered PSD exports with auto-detected design elements
AI Engineer — Inditex (via knowmad mood) · A Coruña, Spain (Remote)¶
Jan 2025 – Oct 2025
- Built enterprise RAG platform with multi-tenant vector search
- Hybrid dense+lexical retrieval with pluggable LLMs (OpenAI, Gemini, Ollama)
- Created AI Truth Guard validation service with real-time SSE streaming
- Precision/recall metrics stored in PostgreSQL for async evaluation runs
- Designed meta-assistant framework for agentic orchestration
- SQL endpoints, retrieval services, and auxiliary microservices
- Implemented trace analytics with clustering and sentiment analysis
- Hexagonal architecture with dependency injection and SOLID principles
Data Engineer — Propelling Tech · Barcelona, Spain¶
Sep 2024 – Jan 2025
- Medallion Architecture on Databricks (PySpark/Spark SQL); ingestion from SQL Server & Oracle to DLT/BigQuery.
- Near-real-time BI (Power BI); automation across GCP Composer/Airflow and Azure Data Factory.
Machine Learning Engineer — Avantcab · Spain¶
May 2023 – Jun 2024
- Sub-second taxi allocation (genetic/greedy/heuristics on AWS Lambda) with caching + pyramid testing.
- Two-stage flight delay prediction (classifier + XGBoost regressor).
Full-Stack Developer — DATOMA · Spain¶
Jan 2023 – Sep 2023
- Genomic Marketplace (TypeScript, Vue, PrimeVue) on AWS Amplify with Cognito auth.
- Event-driven workflows (SQS + Lambda) and CloudWatch observability.
Freelance Software Developer · Spain¶
Jan 2021 – Sep 2023
- 𝗪𝗲𝗯 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁: Leveraged the MERN stack (MongoDB, Express, React, Node.js), Google Firestore, JavaScript, HTML, and CSS, alongside WordPress, to build high-performance, aesthetically polished user interfaces and backend services.
Education¶
- MBA + Master in AI for Business — ENEB · Sep 2024 – Sep 2025
- B.Eng. in Computer Engineering — Universität Duisburg-Essen · Oct 2023 – Sep 2024
- Computer Engineering — Universitat Rovira i Virgili · Aug 2021 – Jul 2024
- Engineering (Automotive Tech) — UPC Manresa (EPSEM) · Sep 2020 – Jul 2021
Skills¶
- Architecture: Hexagonal / Ports-and-Adapters, DI, SOLID/DRY, event-driven
- AI/LLM: RAG, hybrid retrieval, evals & guardrails, agent tooling
- Backend: Python (FastAPI), async task queues, SSE, PostgreSQL
- Data/ML: Databricks, Delta Lake, MLflow, Scikit-Learn, Keras, clustering, sentiment
- Cloud: Azure (Databricks), AWS (S3, Lambda, Batch, SQS, Cognito, IAM), GCP (Run, Functions, Composer)
- FE & Viz: Vue, Chart.js, D3.js, Astrato
- Ops: Observability, unit/integration testing, CI-ready pipelines
Certifications¶
- AWS Certified Solutions Architect
- Data Engineering with Databricks
- Supervised Machine Learning: Regression & Classification
- Neural Networks and Deep Learning
- Advanced Learning Algorithms
Languages¶
- Spanish — Native
- Catalan — Native
- English — Professional Working
- German — Professional Working
Get in touch¶
📧 Email me · 💬 Connect on LinkedIn