A Bit About Me
My name is Giovanni Cascone, and I am a graduate of Southwest Baptist University, where I earned my Bachelor’s degree in Computer Science in December 2025. I am currently continuing my academic journey by pursuing a Master’s degree in Computer Engineering with specialization in Machine Learning at San José State University.
I'm from Italy, I bring a global perspective and a deep appreciation for different cultures and ways of thinking. During my time at SBU, I had the opportunity to serve as captain of the men’s soccer team for 4 years, an experience that shaped my approach to leadership, teamwork, and staying composed under pressure. These lessons have stayed with me beyond the field and influence how I approach both academic and professional challenges.
Through coursework and hands-on projects, I have developed strong skills in Python, Java, SQL, and full-stack web development using Django, along with experience in databases, operating systems, and computer networks. I am motivated to continue growing as a professional by applying my technical skills and leadership experience to build reliable, real-world software systems.
My Education
Master of Science in Computer Engineering
San Jose State University, CA
2026 - Active
Bachelor of Science in Computer Science
Southwest Baptist University, MO
MAGNA CUM LAUDE
2022 - 2025
Scientific Secondary High School
Option Applied Science
Renato Caccioppoli, Scafati ITALY
100/100 - 4.0 GPA
2016 - 2021
My Certifications
AWS Academy Cloud Foundations
Amazon Web Service Academy Graduate
2025
Experience
Software Developer | Jack Henry Project
Aug 2024 - May 2025
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Built a full-stack Django web app to replace a manual Google Sheets capitalization workflow for tracking engineering labor.
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Implemented secure authentication with role-based access control (Admin/Manager) and least-privilege permissions.
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Developed CRUD features for employees, teams, projects, hours, and PTO with automatic capitalization calculations.
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Added CSV import/export for monthly reporting and audit-ready historical data snapshots.
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Containerized with Docker and collaborated in a 3-person GitHub/Kanban team on architecture, testing, and documentation.
Embedded Software Developer/ | Hacca Impianti
June 2025 - Aug 2025
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Developed embedded C++ firmware on an Arduino Opta PLC to control an industrial material-transport machine.
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Implemented a finite-state machine enabling forward, stop, pause, and reverse operation of mechanical actuators.
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Integrated physical pushbuttons, relay outputs, and LED indicators with debouncing and safety interlocks.
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Built a Wi-Fi Access Point and embedded web interface for real-time configuration of motion timing parameters.
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Implemented diagnostic algorithms to monitor actuator health and identify system faults, improving reliability and safety.
Soccer Player
2006 - 2025
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Competitive soccer player since age 4 with professional experience in Italy and NCAA Division II experience in the U.S.
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Played in Italian Serie C (3rd Division) with FC Turris until age 18.
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Four-year NCAA Division II student-athlete at Southwest Baptist University; served as team captain for three seasons.
Skills & Abilities
Python
JavaScript
C++
Jira
Visual Studio Code
Django
Java
GitHub
Slack
Canva
HTML 5
Arduino
Git
Microsoft
WIX
CSS 3
C
MySQL
Projects
AI Checker | ML/AI Engineering Project
Jan-Mar 2026
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Engineered an end-to-end AI-video detection system (FastAPI) that analyzes social video URLs/uploads via a face-first pipeline: frame sampling, face detection, per-frame inference, and video-level probability aggregation.
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Built a multi-signal forensic ensemble combining CNN predictions with FFT artifact analysis, noise-residual scoring, and optical-flow temporal consistency checks to improve robustness beyond single-model outputs.
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Implemented model lifecycle tooling: dataset face-crop builder from raw videos, supervised training pipeline, TorchScript export for low-latency inference, and post-hoc calibration (temperature+bias) from labeled validation outputs.
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Added observability/debug features for model behavior analysis: per-frame component scores, top-k frame traceability, evidence-frame export, and configurable runtime controls for ablation/sanity testing.
Tech: Python, PyTorch, FastAPI, OpenCV, MediaPipe, Transformers, NumPy, TorchScript, Git/GitHub
AutoPrognosis | ML/AI Engineering Project | SJSU
Jan-May 2026
Built a hybrid machine learning framework for Remaining Useful Life (RUL) prediction in hybrid electric vehicles, combining NASA's C-MAPSS turbofan engine dataset with battery aging data into a unified 160K-sample predictive maintenance system.
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Amalgamated 3 NASA datasets (engine, battery, hybrid) into a single pipeline with median imputation and standardization preprocessing
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Evaluated 4 regression models (MLP, Gradient Boosting, KNN, Linear Regression) for RUL estimation — MLP achieved R² > 0.999 and RMSE of 0.87 cycles
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Evaluated 4 classification models (Random Forest, SVM, Logistic Regression, MLP) for health state detection — Random Forest attained 99.99% accuracy
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Applied AutoML optimization with Muller Loop distribution shift analysis, reducing RMSE by 20.5%
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Conducted feature importance analysis revealing engine RUL as the dominant predictor (importance score: 0.9990)
Tech: Python, PyTorch, Scikit-learn, Pandas, NumPy, AutoML, Git/GitHub
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