About Me

Leading Synchronized Silence.

I am Pascal Garcia Esteves, Senior AI & Data Engineering lead at Synchronized Silence.

From building scalable industrial and enterprise data platforms to leading cloud-native and multi-agent AI systems for large organizations, I focus on delivering production-ready data and AI solutions with real business impact. My expertise spans Python, cloud-native architectures on Azure and AWS, and modern Generative AI frameworks.

MSc in Electrical and Computer Engineering (IST)
Based in Portugal

Pascal Garcia Esteves

Senior AI & Data Engineer

Resume

Professional Experience

A timeline of technical leadership and hands-on delivery.

Data & AI Tech Lead

Synchronized Silence

Leading implementation of Multi-Agent AI Systems using LangChain and LangGraph for legal operations automation.

Feb 2025 – Present

AI Python Developer – Synchronized Silence

Synchronized Silence

Developed end-to-end Python data pipelines on Azure for automated email ingestion, PII redaction, partner API integration, and compliant, analytics-ready data storage.

Mar 2025 – Jun 2025

Team Lead – Solution Developer Team

Defined AI

Led a multidisciplinary team delivering rapid, production-ready solutions across Speech, Image, Text, and Video, designing scalable data pipelines, chatbots, and cloud-native backends on AWS and Azure.

Jul 2022 – Feb 2025

Data Engineer / Scientist

Galp SA

Designed and deployed scalable data pipelines and machine learning solutions supporting customer analytics, forecasting, and decision-making across commercial and corporate business units.

Aug 2016 – Jul 2022

Technical Ecosystem

AI & Generative AI

LangChainLangGraphOpenAICrewAIRAGLLM Evaluation

Data Engineering

PythonDatabricksAzure (ADF, Data Lake)SparkDelta LakeSQL

Infrastructure & Systems

AWSDockerKubernetesCI/CDIoT Integration

"I build systems that grow with your data."

Whether it's deploying a Multi-Agent system for legal automation or optimizing an industrial IoT pipeline, my methodology is rooted in scalability, observability, and pragmatic innovation.