I am Madalena Barros

Bridging the gap between High-Performance Computing and User Experience.

Name: Madalena Barros

Email: mariamadalenarob@gmail.com

Github: https://github.com/madalenarb

skills.js
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// Madalena's Technical Stack
const core_foundations = {
  hpc_parallel_computing: ["C/C++", "CUDA", "SIMD", "MPI", "OpenMP", "Performance optimization", "Profiling & analysis"],
  quantum_simulations: ["Qiskit", "CUDA-Q", "Qulacs", "Statevector simulation", "Tensor networks", "Noise models", "GPU backends", "Circuit benchmarking"],
  ai_data_engineering: ["Python", "Vector databases", "Embedding pipelines", "RAG architectures", "Retrieval evaluation", "LLM fine-tuning"],
  frontend_design: ["React", "JavaScript", "Figma", "API integration", "UI/UX prototyping"]
};

About me

Hi, my name is Madalena Barros! ⭐

I am a 23 years old university student. I'm finishing my Masters in Electrical and Computer Engineering at Instituto Superior Técnico.

Currently, I am writing my thesis, which focuses on accelerating quantum simulators using different protocols (OpenMP) or GPUs. (See Featured Research below).

When I am not benchmarking quantum simulators, I'm interning at TripGoGo, building RAG pipelines and doing a bit of quality assurance to ensure the model's outputs are realistic and reliable.

I also have a background in frontend development through my work at KPMG and NEECIST. These experiences taught me how to bridge real-world requirements with web design. A key example was my work at KPMG, where I built a custom user interface for an internal AI chatbot to streamline employee workflows.

Resume

Here is my summary of my experience, mainly throughout my academic journey.

Education

MSc, Electrical and Computer Engineering

Instituto Superior Técnico, University of Lisbon

  • Specialisation: Control, Artificial Intelligence, and Robotics
  • Minor: Contemporary Physics (Quantum Mechanics; Intro Particle & Nuclear Physics; Astrophysics)
  • Thesis: Accelerating Quantum Circuit Simulation with NVIDIA GPUs (HPC focus on Deucalion: CPU/GPU parallelization and performance benchmarking)

BSc, Electrical and Computer Engineering

Instituto Superior Técnico, University of Lisbon

  • Relevant Coursework: Electronics, control, embedded systems, and software fundamentals
  • Academic Merit Diploma (2022/2023)

Professional Experience

Data and Analytics Summer Intern

KPMG Portugal, Évora, Portugal | 07/2024

  • Contributed to an internal Generative AI project, focusing on UI/UX integration and product delivery.
  • Designed the interface in Figma and implemented the web application from scratch using React + TypeScript.
  • Integrated API access into the web interface to connect the UI with Generative AI capabilities and support deployment.
  • Worked with international teams, iterating quickly based on feedback, testing, and stakeholder requirements.

Portfolio

Featured projects showcasing my work in algorithms, data structures, and software engineering

  • All
  • Algorithms & Data Structures
  • Deep Machine Learning
  • Big Data Processing
Word Mutations GUI

Word Mutations

Algorithms & Data Structures · C

DnDialogueGenerator

DnDialogueGenerator

Deep Machine Learning · NLP

Example building footprint extraction result

Building Footprint Extraction

Deep Machine Learning · Computer Vision

Legislative Debate Video Analytics

Legislative Debate Video Analytics

Big Data Processing · Multimodal CV/NLP