I'm a Bionics Engeneering, currently studying the last semester of Master's degree in Advanced Technology with focus on software development. Interested in building scalable Full Stack applications that integrate Deep Learning models and real-time signal processing. Experience transforming complex data into user-centered products.
- 💳 CreditSim (React + FastAPI) See➡️
A full-stack credit/loan simulator that generates a French-system monthly amortization schedule, persists each simulation in SQLite, and triggers a mock risk audit asynchronously (non-blocking).
- 🧩 Users Microservice See➡️
A Node.js/Express microservice built with OOP + Singleton, exposing both REST and GraphQL endpoints to query Users (id, name), documented with Swagger/OpenAPI, backed by Prisma + SQLite, and secured with strict CORS (example.com-only).
- 🧮 MathQuiz + 🎯 Stroop Color Test See➡️
A Python (Tkinter) desktop app that runs a short and auto-validated math quiz, then launches a timed Stroop Color task with image-based stimuli, a live countdown, and per-trial prompts (Spanish UI).
- 🧠 EEG_UHB Library (Unicorn Hybrid Black + LSL) See➡️
Python library packaged for distribution (pip-ready) to acquire EEG signals from Unicorn Hybrid Black using the LSL protocol, with a clean API for stream discovery, acquisition control, and data persistence in csv files.
- 📝 Driver Study Questionnaires GUI (PyQt6) See➡️
A PyQt6 desktop app for driving-simulator studies that guides participants through an initial battery + repeatable inter-stage blocks, and saves every response to an UTF-8 CSV (with scoring helpers like PSS inverted items).
- 🤖 Emotion-Detection Chatbot (CNN + Streamlit) See➡️
A Streamlit-based chatbot that detects emotions in text using CNN models. I built the models, trained them, and iterated improvements over time.
- 🔬 SIGIC — Scientific Information Management Platform (Full-stack) See➡️
An interdisciplinary platform that helps research teams develop, process, and store scientific project results (built at IPN through multi-school collaboration). I contributed as a Full-Stack Developer; the codebase is in private repos (copyright/ownership), but I can share details or a walkthrough on request.
- Languages: Python, TypeScript, HTML/CSS, LaTeX, MATLAB
- Frameworks: Angular, Django, FastAPI.
- Specialties: Machine Learning, Signal Processing, Artificial Intelligence
- Tools: Visual Studio, Github, Postman, Jira, Figma
Instituto Politécnico Nacional | Feb 2024 - Jul 2024
-
Analysis and pre-proccessing patient's Electroencephalography (EEG) Datasets with epilepsy.
-
Develop Convolutional Neural Network (CNN) for for the automated detection of seizure crises.
Laboratorio de Instrumentación y Procesamiento de Señales (LIPS) | Feb 2023 - Aug 2023
-
Data analysis and results verification for scientific articles.
-
Inventory management and experimental protocols with human participants.
-
Design and update of the laboratory's research website.
Laboratorio de Instrumentación y Procesamiento de Señales (LIPS) | Jul 2022 - Jan 2023
-
Developed web solutions for management and visualization of scientific information.
-
Tested RESTful APIs with Postman and developed backend with Django.
-
Collaborated in multidisciplinary teams using agile methodologies.
Laboratorio de Instrumentación y Procesamiento de Señales (LIPS) | Jan 2022 - Jun 2022
-
Developed experimental protocols for controlled stress induction.
-
Acquired and analyzed physiological signals (EEG, PPG, EDA).
-
Authored a research paper presented at the international CCE conference.
-
Master's in Advanced Technology - Instituto Politécnico Nacional (In progress)
-
Bionics Engineering - Instituto Politécnico Nacional (January 2023)
- "Assessment of emotions and stress in drivers to promote safe driving" - Master's Thesis, (In progress)
- "Biomarkers for Stress and Sleepless Evaluation" See➡️ - Presented at CCE International Conference 2025
- "Collaboration System for Multidisciplinary Research with Essential Data Analysis Toolkit Built-In" See➡️ - MDPI Open Access Journals 2023
- "Stress Detection Protocol in Vehicular Driving using Virtual Reality" See➡️ - Presented at CCE International Conference 2023
- "Convolutional Neural Network for detecting Emotions and Polarity in text using chatbot" - Bachelor's Thesis, 2023
- Spanish (Native)
- English (B1+)
- Japanese (N5)
- Mexican Sign Language (A2)
- 📧 Email: hortamaury@gmail.com
- 📱 Phone: +52 5611075317
- 💼 LinkedIn: amaury-sh
- 🏙️ Location: Mexico City, Mexico
Coding challenges | Signal processing | Technology research | Artificial intelligence | Healthcare
⭐ From my GitHub profile you can see my projects and contributions. Feel free to contact me to collaborate!










