MIGUEL FARIA
SkillsExperienceCertificationsEducationContact
>Hi, I'm Miguel — AI Engineer_

IbuildAIsystemsfocusedonmeaningfulimpactforpeople—andbuilttoholdupintherealworld

Focused on agentic execution loops, context-retrieval pipelines, and production-grade tool integrations

Agentic SystemsMulti-Agent OrchestrationTool IntegrationRAG

“What keeps me interested in this field is the gap between a model that looks impressive and a system people can actually rely on. That's the part I spend most of my time working on.”

Connect on LinkedInView GitHubRequest CV
explore_technical_profile↓
01/Tech Stack

Skills

End-to-end engineering across agentic execution loops, AI coding workspaces, backend systems, and cloud infrastructure.

Core Stack Focus★ 8 Primary Pillars
Python
PythonPrimary Language
FastAPI
FastAPIAPI Framework
LangGraph
LangGraphAgent Orchestration
Microsoft Azure
Microsoft AzureCloud Platform
Docker
DockerContainerization
Git
GitVersion Control
Claude Code
Claude CodeAI Dev Tool
Codex
CodexAI Dev Tool
Full Stack Matrix & Domain Reference72 Total Technologies & Domains
Categories

Programming Languages

PythonPythonCORE
C#C#
CSSCSS
HTMLHTML
JavaJava
JavaScriptJavaScript
MatLabMatLab
TypeScriptTypeScript
02/Work Timeline

Professional Experience

Engineering AI agent frameworks, production voice pipelines, and automated LLM systems across enterprise environments.

›Click any role to inspect full technical achievements

AI Engineer

current
LBC — Leadership Business Consulting
Dec 2025 — PresentLisboa, Portugal

Designing production AI solutions and rapid interactive proof-of-concepts.

Key Technical Contributions

  • Designed AI solutions that streamlined internal workflows, reducing manual overhead across teams.
  • Built interactive AI proof-of-concepts that turned technical feasibility into a key differentiator in client proposals.

Technologies & Frameworks

PythonFastAPINext.jsLangGraphLangChainDockerMongoDBWeaviateMicrosoft Azure

AI Engineer

MedRobots— Robotic Technology & Innovation
Mar 2025 — Nov 2025Coimbra, Portugal

Architected full voice-to-voice AI pipelines, agent orchestration, and multi-memory integration.

Key Technical Contributions

  • Architected a full voice-to-voice AI pipeline (STT-LLM-TTS), taking it from concept to a production-ready, model-flexible system with local and external model integration and multi-memory management.
  • Combined natural language interaction with ML classifiers, incorporating RAG components and agent orchestration via LangGraph.
  • Integrated complex backend pipelines into responsive web frontends, assembling complete production applications.

Technologies & Frameworks

PythonReactFastAPIFlaskViteOpenAI APILocal ModelsLangGraphScikit-LearnPostgreSQLMongoDBQdrant

AI Software Engineer – Intern

WIT Software
Sep 2023 — Jul 2024Coimbra, Portugal

Built a web application and API leveraging LLMs alongside traditional classifiers and regressions for comparative sentiment analysis and benchmarking.

Key Technical Contributions

  • Developed and deployed a full-stack web application and a dedicated backend API for automated sentiment analysis with background task processing.
  • Integrated LLMs for sentiment analysis and implemented classical machine learning models (classifiers and regressions) to benchmark and compare results directly against LLM outputs.
  • Constructed metric evaluation pipelines to systematically assess model accuracy, latency, and predictive performance.

Technologies & Frameworks

PythonReactDjangoNext.jsDockerScikit-LearnNumPyPandas
03/Credentials

Certifications & Courses

Verified technical qualifications spanning AI agent architectures, cloud data systems, and enterprise LLM foundations.

›Click any card to inspect curriculum & modules
04/Academic Foundation

Education

Academic foundation in intelligent systems, machine learning architectures, and software engineering at the University of Coimbra.

›Click any degree to inspect coursework & research details

M.Sc. in Informatics Engineering – Intelligent Systems

University of Coimbra

2022 — 2024Coimbra, Portugal
  • Specialization in Intelligent Systems, AI algorithms, machine learning, and data processing.
  • Thesis focus on production AI pipelines, ETL pipelines, classifiers and regressions, full-stack platforms.

B.Sc. in Informatics Engineering

University of Coimbra

2019 — 2022Coimbra, Portugal
  • Rigorous foundation in computer science, software engineering, algorithms & data structures, databases, and computer networks.
05/Reach Out & Connect

Contact

Open to technical conversations, engineering collaborations, and direct inquiries.

Connect on LinkedIn
GitHub Profile
Language Proficiencies
Portuguese(Native)English(Advanced – B2)Spanish(Basic – A2)

📍 Portugal // © 2026 Miguel Faria

back_to_top ↑