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Adriana Rupérez Arellano

AI Solutions Architect designing agentic systems and cloud platforms.

I design and build cloud-native AI solutions end to end, combining agents, deterministic tools, microservices, Kubernetes and CI/CD to automate real services.

Portrait of Adriana Rupérez

AI Solutions Architect

Architecture, automation and reliable software delivery.

  • Multi-agent and multi-service applications on Kubernetes
  • RAG systems and domain-specific knowledge bases
  • Cloud delivery, CI/CD, automation and functional testing
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Education

Sep. 2022 — June 2026

B.Sc. in Data Science and Engineering · Universidad Carlos III de Madrid

Awarded UC3M’s TFG Emprende (Entrepreneurship Distinction) focused on innovation and entrepreneurship.

Relevant coursework: Data Structures and Algorithms, Databases, Machine Learning I and II.

GPA: 7.78/10

Sep. 2024 — May 2025

International Mobility Program in Computer Science · Case Western Reserve University

Relevant coursework: Deep Generative Models, Data Mining for Big Data, Robotics and Computational Perception.

GPA 3.876/4

Experience

Jan. 2026 — Present

AI Solutions & Software Architect Ericsson

Designing cloud-native multi-agent and multi-service applications on Kubernetes, combining orchestrated AI agents with deterministic tool orchestrators to automate service workflows and reduce service delivery time by 30%. Building domain-specific knowledge bases and automation for development, functional testing and technical documentation, alongside telecom ETL and data-migration tooling.

Python Java Pentaho PDI Shell scripting CI/CD Kubernetes AI agents Automation Functional testing
Jan. 2026 — Jun. 2026

Freelance Mobile and Cloud Developer Milanes Transport

Designed and built two mobile applications for drivers and passengers at a Florida-based NEMT business: Raphael by Milanes Transport and Raphael Riders.

Mobile development App deployment Cloud deployment Backend integration Product delivery Mobile applications
Milanes Transport app Milanes Transport visual
Jun. 2023 — Present

Real Estate Agent Practice C.V.M.

Built a CRM and administration platform with React and Supabase for property, tenant, contract and document management while acquiring clients and closing 20+ rental contracts.

React Supabase CRM development Automation Operations
Dec. 2019 — Apr. 2024

Ski and Leisure Instructor Club Pirineista Mayencos and Ski Club Noroeste

Led groups of up to 10 participants and delivered adaptive instruction across ages and skill levels, including students with special needs, in coordination with multidisciplinary instructor teams.

Teaching Leadership Group coordination Inclusive learning Time management Management of risky situations
Ski instructor experience Ski group activity

Projects

Founder and Developer · May 2025 — Jul. 2026

CampusRide

Founded and launched a ridesharing platform for the UC3M community with Flutter, Firebase and Google Cloud Platform. Released on the iOS and Android stores, reached nearly 350 students and grew through a team of four. In July 2026, ongoing ownership transitioned to a student team so the community could continue developing and operating the platform.

Flutter (Dart) Firebase Google Cloud Platform Mobile development Frontend + Backend development Product leadership

Curricular project · Sep. 2025 — Jan. 2026

Sandoz RAG Assistant

Internal knowledge assistant designed to turn a large unstructured document base into a practical query tool for employees, with ingestion, OCR, topic-based routing and retrieval workflows across local and cloud-based setups.

Python Embeddings Vector search RAG Supabase (PostgreSQL) NLP Adaptive prompting OCR LLM HTML + CSS + JavaScript LM Studio FastAPI

Full Stack Developer · Sep. 2025 — May 2026

Open UC3M

Built a university social-network mobile application with Open UC3M to bring the community closer together by giving visibility to students, events and associations.

React Native Django Render Expo / ExpoGo SQL Full Stack Developer

Curricular project

Radiology Report Generation

Attention-based encoder-decoder model that generates radiology reports from chest X-ray images using DenseNet121, GRU and Bahdanau attention. Processed OpenI/NLMCXR image-report pairs and evaluated results with BLEU, ROUGE and METEOR.

PyTorch Vision-language Medical AI Computer Vision GRU Attention DenseNet121 Encoder-decoder NLG

Languages

Spanish Native
English C1 Full professional proficiency
French C1 Full professional proficiency

Certifications

CAE C1 Advanced (Cambridge University)

DALF C1 (France Éducation International)

Level 1 Sports Technician (Tandem)

Diplôme National du Brevet (Ministère de l’Éducation Nationale Française)

Toolkit

AI engineering

Agent orchestration RAG LLMs NLP OCR PyTorch TensorFlow Transformers Scikit-learn

Software engineering

Python TypeScript FastAPI Django React Native Flutter / Dart

Data

SQL / NoSQL MongoDB Supabase Firebase Pentaho PDI

Cloud & platform

Kubernetes Docker Google Cloud Platform GitHub / GitLab CI/CD Automation Functional testing

Let's connect

Have a role, project or collaboration in mind?

Feel free to get in touch. I’m always happy to exchange ideas about AI, innovation and the latest developments shaping the field.