Mario Prieta Sánchez
Embedded Systems Engineerbuilding
bisite
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
building
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AIRInstitute
Embedded Systems Engineer
June 26, 2026 – Present
bisite
Embedded Systems Engineer
June 26, 2026 – Present
react-native-theme-transition
March 5, 2026 – Present
Smooth, animated theme transitions for React Native. Expo Go compatible, powered by Reanimated.
View ProjectTetrisSolver-FSI
March 2, 2026 – Present
Tetris piece placement solved with two AI paradigms: A* heuristic search (Python + Pygame) and constraint-based backtracking (Prolog). Same problem, fundamentally different approaches.
View ProjectDistributedBully-SSDD
March 2, 2026 – Present
Distributed implementation of the Bully Election Algorithm across multiple servers using Java (JAX-RS/Jersey) and Apache Tomcat, with automated multi-host deployment via SSH
View ProjectWineModelComparison
November 13, 2024 – Present
Comparative analysis of machine learning models (KNN, SVM, Decision Tree, Random Forest, Neural Network) for classifying wine types using the Wine Dataset. Models are evaluated on accuracy, confusion matrix, and AUC ROC, with visualizations highlighting performance differences across techniques.
View ProjectQuakeSense-NASASpaceApps2024
October 29, 2024 – Present
NASA Space Apps 2024 project enhancing planetary seismology. Our AI model achieves 97% accuracy in seismic event detection, filtering noise to transmit only essential data to Earth. Features real-time visualization, satellite simulation, microservices back-end, and ML-based detector, all deployable via Docker Compose for streamlined deployment.
View ProjectDiverEdu-Hack4Edu2024
October 25, 2024 – Present
Generative AI tool for personalized content for neurodivergent students, supporting dyslexia, ADHD, and dyscalculia. Features include emoji cues for dyslexia, Bionic Reading for ADHD, and empathy exercises for neurotypical students. Built with Vue.js, Flask API, and Docker Compose for deployment, promoting inclusion and accessibility in classrooms.
View ProjectDLX-Assembly
April 11, 2024 – Present
DLX assembly project implementing the 3n + 1 algorithm with optimized and non-optimized versions. Calculates sequence stats like max, mean, and derived values. Optimizations reduce cycles, instructions, and stalls. Includes compile scripts for DLX simulators on Windows/Linux, detailed hardware config, and performance comparisons.
View ProjectSerenity-IPO
March 6, 2024 – Present
Concept web app for headache relief through vibration therapy and ambient sounds. University HCI project following the full design cycle: needfinding, heuristic evaluations, user testing, and 3 iterative versions.
View ProjectCultural Fit Analysis
The candidate's extensive personal project portfolio, including multiple hackathon participations, demonstrates initiative, a passion for technology, and a collaborative spirit. The projects cover a wide range of domains (AI, distributed systems, web development, low-level programming), suggesting intellectual curiosity and a willingness to explore different technical areas. This diversity aligns well with a culture that values continuous learning and innovation. The target role of 'Embedded Systems Engineer' is directly supported by their professional experience and specific projects like 'DLX-Assembly' and 'DistributedBully-SSDD', indicating a strong alignment with the role's technical demands.
Soft Skills & Operational Fit
The candidate's project descriptions suggest a proactive and problem-solving attitude, particularly through participation in hackathons (Hack4Edu2024, QuakeSense-NASASpaceApps2024, DiverEdu-Hack4Edu2024). The variety of projects, from AI to distributed systems and assembly, indicates adaptability and a broad interest in technical challenges. However, without psychometric test results or interview data, a definitive assessment of soft skills and operational fit is limited.