AI-Enhanced Smart Home System
Modular AIoT prototype using ESP32-S3 room controllers, Wokwi, Blynk, Edge Impulse, rule-based automation and lightweight environmental classification.
Physics Graduate MSc Artificial Intelligence Candidate
I combine a physics background with applied AI, data analysis and technical writing to build clear, well-documented analytical projects.
Currently pursuing an MSc in Artificial Intelligence Technology with Advanced Practice at Northumbria University, London Campus, with interests in machine learning, AIoT, scientific communication, automation and structured technical reporting.
Open to part-time roles, internships, remote/hybrid opportunities, analytical support, QA, research support and technical documentation positions, particularly within AI, data and technology-focused environments.
Modular AIoT prototype using ESP32-S3 room controllers, Wokwi, Blynk, Edge Impulse, rule-based automation and lightweight environmental classification.
Machine learning project focused on imbalanced classification, preprocessing, model comparison, threshold selection and fraud detection evaluation using Python.
Scientific Python project implementing interpolation, numerical integration, ODE solvers and stochastic simulation, with applications to computational physics and a combined Kaggle showcase.
AI-assisted workflow for matching IAC scientific publications with press notes, using text preprocessing, regex, fuzzy matching and reproducible notebook-based analysis.
Portable CPU/GPU transcription workflow for audio and video files using faster-whisper, with automatic hardware selection, safe input handling, audio normalization, progress tracking and optional SRT subtitle generation.
Full technical report documenting the design, architecture, simulation logic, sensor behaviour, AIoT integration and evaluation of an ESP32-S3 smart home prototype.
Technical report explaining imbalanced classification, preprocessing, resampling strategies, model comparison, threshold selection and evaluation metrics for fraud detection.
BSc Physics thesis written in English on the structural mechanisms of ferroelectricity and ferroelasticity in β′-RE₂(MoO₄)₃ compounds. The work involved crystallographic analysis, neutron and X-ray diffraction, Rietveld and Le Bail refinement, amplimode analysis and long-form scientific reporting in LaTeX.
Helped reproduce and isolate a Vizro/Dash tab-rendering regression by comparing dependency versions, testing pure Dash behaviour and narrowing the issue beyond Plotly graph rendering. The analysis was acknowledged by a Vizro maintainer and helped narrow down the bug for the fix planned in Vizro 0.1.57.
Code repositories, project documentation, notebooks and open-source work.
Machine learning notebooks, data analysis workflows and reproducible experiments.
Professional profile, education, experience and contact information.
Contributed to bilingual science communication and outreach. Developed AI-assisted transcription and subtitle workflows, supported text-matching automation using regex and fuzzy matching, and prepared technical documentation in LaTeX.
Completed a scientific project in English on the structural mechanisms of ferroelectricity and ferroelasticity in β′-RE₂(MoO₄)₃ compounds, involving crystallographic analysis and scientific reporting.
Python · Machine Learning · Classification · Model Evaluation · XGBoost · scikit-learn · NLP · Scientific Python
LaTeX · Scientific Writing · Technical Reports · Academic Writing · Technical Presentations · Structured Documentation
ESP32-S3 · Wokwi · Blynk · Edge Impulse · Sensor-Based Logic
Bilingual Communication · Subtitles · Transcription Workflows · Publication Matching · Content Adaptation
NumPy · SciPy · Matplotlib · Numerical Methods · ODE Solvers · Computational Physics
Spanish Native · English C1 Advanced · IELTS UKVI 7.0 · Japanese Intermediate / JLPT N3 level · French Limited Working Proficiency
Annual distinction granted to students with outstanding academic performance and ranking among the top of their graduating class.
C1-level English certification for UK academic and visa purposes. Credential ID: 25ES502590REYA024A.
Cambridge English qualification certifying advanced English communication ability. Credential ID: C0100635.
Attempted the JLPT N3 examination and obtained a score of 80/180, reflecting intermediate Japanese study and continued language-learning commitment.
Recommendation letter from a Full Professor of Applied Physics highlighting academic performance, autonomous learning, analytical ability, communication skills, Computational Physics, Python programming and mathematical strength.
Recommendation letter from my internship supervisor at the IAC, highlighting Python automation, AI-assisted transcription, multilingual subtitles, regex, fuzzy matching, LaTeX documentation and scientific communication work.