Alejandro
Martínez Ronda

Double-degree Mathematical & Computer Engineer focused on post-quantum cryptography and its mathematical foundations.

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Who I am & what I've studied

A snapshot of my background — profile, studies and hands-on experience. Swipe right for experience →

Alejandro Martínez Ronda
Profile

I pair mathematical rigor with software to build secure, verifiable systems. My bachelor's thesis implements a lattice-based (LWE) scheme from scratch and studies the NIST standards ML-KEM and ML-DSA, backed by real experience in data engineering and machine learning.

Education
B.Sc. Mathematical Engineering
2022 – 2026
Universidad Alfonso X el Sabio (UAX), Madrid · Degree completed
B.Sc. Computer Engineering
2022 – 2027
Universidad Alfonso X el Sabio (UAX), Madrid · Final year
International Exchange — Investment Project Evaluation
Jan – Jun 2026
Universidad Nacional de Río Cuarto, Argentina
LanguagesSpanish (native) · Catalan (native) · English — C1 Advanced (CAE)
CertificationsIronhack Data Analytics Bootcamp · Microsoft Power BI · Storytelling (Coursera)
Experience
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Data Architecture & Engineering Intern
Havas Media Group — Madrid
Dec 2025 – Feb 2026
  • Built cloud data pipelines and advanced data modeling on Google Cloud with Dataform.
  • Wrote complex SQLx transformation logic and led BigQuery optimization to cut query cost and runtime.
  • Managed GitLab version control and resolved incidents in automated, high-availability data flows.
Data & Modeling Intern
DeNexus — Madrid
Nov 2024 – Feb 2025
  • Built an end-to-end pipeline extracting cybersecurity incidents from SEC Form 8-K filings (scraping SEC EDGAR).
  • Classified incidents with ML and NLP/LLM models (BERT, LLaMA) and generated semi-automated reports on Databricks.
Project Management Intern
Havas Media Group — Madrid
Sep 2025 – Nov 2025
  • Owned task definition and validation, delivery tracking and deliverable review to keep timelines on schedule.
Sales Manager & Teller
BBVA — Alicante
Summers 2023 & 2024
  • Managed banking operations and financial-product support in a high-volume branch.

Learning With Errors

Post-quantum, lattice-based cryptography (LWE)

My bachelor's thesis in Mathematical Engineering studies how one idea — adding a little calibrated noise to plain linear algebra — turns into hardness that resists even quantum computers, and how that hardness is the foundation of the new NIST post-quantum standards.

What the thesis covers
  • The quantum threat — why Shor's algorithm breaks RSA and ECC.
  • Lattices — a new kind of hardness (SVP / CVP, good vs. bad basis).
  • Learning With Errors — linear algebra made hard by calibrated noise.
  • Theoretical guarantee — Regev's worst-case to average-case reduction.
  • From theory to standards — Regev encryption, ML-KEM (Kyber) and ML-DSA (Dilithium).
  • Implementation & experiments — a scheme built from scratch and the noise / modulus / dimension trade-off.
b₁b₂

Personal projects

A selection of things I've built, grouped by focus. Swipe sideways within a row to see more.

Cryptography & Security

1

Rainbow Table Attack

A rainbow-table attack on MD5 password hashes, built from scratch — reduction functions, chain construction and a collision analysis of the time–memory trade-off.

CryptographyHashingPython

Quantitative Finance

4

Order Book Simulator — Matching Engine & Market Maker

A limit order book matching engine and a market-making bot, built from scratch — risk parameters tuned via 50-seed sweeps, not single-run luck. Open the site for a live in-browser demo and the full findings write-up.

Market MicrostructureMarket MakingRisk ManagementPython
View on GitHub

Financial Model — QuantumVault

5-year financial model (DCF, NPV, IRR, Monte Carlo) for a zero-knowledge, post-quantum cloud-security concept.

Monte CarloFinancial ModelingPython

RNN — Stock Price Prediction

Recurrent neural network for time-series forecasting of stock prices — sequence modeling with deep learning.

Deep LearningRNNTime Series

Simple Random Walks

Simulation and statistical analysis of simple random walks — foundations of stochastic processes and Brownian motion.

Stochastic ProcessesProbabilitySimulation

Machine Learning & AI

4

CNN — Melanoma Detection

A CNN in PyTorch classifying skin lesions as melanoma vs. benign — custom architecture, early stopping, 92.7% test accuracy. (Academic project, not a medical tool.)

PyTorchCNNDeep Learning

RAG — WWII Chatbot

Retrieval-Augmented Generation chatbot on WWII: a FAISS index over a curated corpus feeds a local Llama 3.1 (8B) via Ollama, with a Streamlit UI.

RAGFAISSLlama 3.1Streamlit

Patient Survival Prediction

A feedforward neural network (Keras/TensorFlow) predicting patient survival from clinical, genetic and lifestyle data, with SMOTE balancing and a written report.

TensorFlowKerasDeep Learning

Purchase Propensity Model

A Gradient Boosting model scoring each customer's probability to purchase from demographic, product and campaign data.

Gradient Boostingscikit-learnPython

Data & Analytics

2

CLTV — Data Integration

End-to-end Customer Lifetime Value pipeline: ETL from Azure SQL, a star-schema warehouse, logistic-regression retention and Power BI dashboards.

Azure SQLSQLPower BI

PCA & Clustering

Unsupervised segmentation with PCA and clustering, profiled and visualised in an interactive Power BI dashboard.

PCAClusteringPower BI

What people say

Recommendation letters from the people I've worked with. Swipe sideways for more.

His most exceptional quality is a strong commitment to achieving results, paired with a structured, analytical mindset — a valuable team player in a multicultural, multidisciplinary organization.

Romy R. Ravines
Head of Research & Modeling Strategies · DeNexus
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Few early-career profiles combine technical ability, professional performance and future projection like Alejandro — an asset of immediate value to any organization.

Juan Guerrero
Technical Director · Havas Media Group
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A reliable profile with a real capacity for work and a very positive attitude within technical teams — someone who keeps timelines consistently on track.

Luis Monje
Project Manager · Havas Media Group
Read full letter (PDF) ↗

Let's talk. I'm open to
opportunities and collaborations.

martinezrondaalejandro@gmail.com Download CV alejandromtnz alejandromartinezronda
Cryptography & Security
Post-Quantum Cryptography, Lattice-Based Cryptography, Learning With Errors, ML-KEM, ML-DSA, Cybersecurity
Mathematics
Applied Mathematics, Probability, Statistics, Linear Algebra, Optimization
Programming
Python, SQL, Java, JavaScript, Bash
AI & Data
Machine Learning, Deep Learning, NLP, LLMs, Google Cloud, BigQuery, Databricks
Tools
Git, GitHub, GitLab, Linux, Agile
Madrid, Spain© 2026 Alejandro Martínez Ronda
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