Saatvik B

Developed AI and ML-based prediction pipelines using Python, focusing on structured datasets for classification and regression tasks across domains including movies and games. Applied data preprocessing, feature engineering, and model evaluation techniques (accuracy, F1-score, RMSE) to iteratively improve model performance. Built end-to-end prediction workflows with scikit-learn, managing data ingestion, model training, validation, and result reporting.

AI/ML Project Intern at Mouri Tech (2025-05 – 2025-07)

• Developed AI and ML-based prediction pipelines using Python, focusing on structured datasets for classification and regression tasks across domains including movies and games.
• Applied data preprocessing, feature engineering, and model evaluation techniques (accuracy, F1-score, RMSE) to iteratively improve model performance.
• Built end-to-end prediction workflows with scikit-learn, managing data ingestion, model training, validation, and result reporting.
• Documented model architecture, experimental results, and findings for collaborative review within the team.

IoT Project Intern at Efftronics Systems (2024-05 – 2024-07)

• Developed a Train Black Box system for real-time onboard event logging and data capture on rail networks, improving incident traceability.
• Built a weather prediction model integrating live sensor feeds with predictive analytics modules for environmental monitoring.
• Contributed to a Smart Cities implementation project by designing connected infrastructure prototypes for urban monitoring and automation.
• Learned and applied C# within the.NET framework for back-end device communication and data processing layers.

B.Tech. in Computer Science and Engineering (Internet of Things) – VIT University (2026-07)