Jacob P. T. Nguyen Salinas

ML Model Manager at Independent Project

Engineered an end-to-end MLOps platform supporting Logistic Regression, Random Forest, and XGBoost models with automated hyperparameter tuning via Grid Search CV, enabling non-technical users to train and deploy classification models from CSV datasets.

Medical Appointments No-Show Predictor at Independent Project

Engineered end-to-end ML pipeline on 110,527+ medical records, training Random Forest, XGBoost, and Logistic Regression with SMOTE and Grid Search CV. Achieved 80.3% recall and ROC-AUC 0.7313 through feature engineering and hyperparameter tuning.

Rate My Stuff at Independent Project

Developed a full-stack web application using React.js, TypeScript, Node.js, Express.js, and MongoDB to enable seamless user interactions and data management. Implemented CRUD functionality for reviews.

Project Creator at ML Model Manager

Engineered an end-to-end MLOps platform supporting Logistic Regression, Random Forest, and XGBoost models with automated hyperparameter tuning via Grid Search CV, enabling non-technical users to train and deploy classification models from CSV data sets.

Project Creator at Medical Appointments No-Show Predictor

Engineered end-to-end ML pipeline on 110,527+ medical records, training Random Forest, XGBoost, and Logistic Regression with SMOTE and Grid Search CV. Achieved 80.3% recall and ROC-AUC 0.7313 through feature engineering and hyperparameter tuning. Developed FastAPI REST API backend with Pydantic validation, pickle-based model persistence and real-time predictions. Deployed production-ready app on Vercel (React/TypeScript front end) and Render (backend) with Docker containerization and environment variable management.

Project Creator at Rate My Stuff

Developed a full-stack web application using React.js, TypeScript, Node.js, Express.js, and MongoDB to enable seamless user interactions and data management. Implemented CRUD functionality, allowing users to efficiently create, view, edit, and delete reviews.

ML Model Manager at Independent ML Projects

Engineered an end-to-end MLOps platform supporting Logistic Regression, Random Forest, and XGBoost models with automated hyperparameter tuning via Grid Search CV, enabling non-technical users to train and deploy classification models from CSV datasets.

Project Creator at Independent Projects

No-Show Predictor for Medical Appointments: Engineered end-to-end ML pipeline on 110,527+ medical records, training Random Forest, XGBoost, and Logistic Regression with SMOTE and Grid Search CV. Achieved 80.3% recall and ROC-AUC 0.7313 through feature engineering and hyperparameter tuning.