Martina Sabaté Monfort

Ai Developer @Westernacher Consulting

London, GB
MOBILE NUMBERS
+91 *********19

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WORK HISTORY

Sep 2024 — Present

Ai Developer @Westernacher Consulting

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London, GB

Developing and deploying scalable LLM-based systems using Retrieval-Augmented Generation (RAG), Python, and Microsoft Copilot Studio to enhance operational efficiency and enable enterprise knowledge automation across Westernacher- Leading development of multimodal AI pipelines combining OCR, NLP, and LLMs to automate classification and processing of large-scale document datasets (image and text-based)- Building custom SAP LeanIX reports with JavaScript to enhance strategic decision-making and improve visibility across key data assets- Contributing to ESG and sustainability tech initiatives by developing software aligned with regulatory compliance, driving innovation in enterprise sustainability reporting.

EDUCATION

2020 — 2024

UCL

Master of Engineering - MEng, Biomedical Engineering

2018 — 2020

CIC batxillerats

Baccalaureate, General Sciences

ABOUT MARTINA SABATÉ MONFORT

I focus on AI and Automation initiatives, driving the adoption of intelligent systems to improve operational efficiency and scalability. I hold a degree in Biomedical Engineering from UCL (First Class Honours), specialising in Machine Learning and Computer Science. Previously, I worked as an AI Developer in a consulting environment, leading the design and deployment of LLM-based agents using Microsoft Copilot Studio, custom APIs, and agentic workflows. My work spanned prompt engineering, data curation, and evaluation frameworks, with solutions deployed across a global organisation. I also developed OCR-driven pipelines integrating LLMs and NLP to automate large-scale document and image processing. I have extensive experience with AI automation platforms and have delivered extracurricular workshops on n8n AI-powered automation workflows at London Business School to over 100 students. I combine strong technical depth with hands-on implementation experience, focusing on deploying production-ready AI systems that deliver measurable efficiency gains.

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