The Unscented Kalman Filter (UKF) is a powerful estimation technique used for nonlinear systems. In phone posture estimation, UKF efficiently handles sensor data from accelerometers and gyroscopes, providing accurate orientation tracking. Its ability to model nonlinearities makes it ideal for real-time applications like phone motion detection.
Built a database management platform with a JSON‑driven UI, strict DB constraints, and schema‑based validation. Containerized and deployed on AWS ECS (Fargate) via GitLab CI/CD. Result: higher data integrity, faster feature iteration, and secure, scalable operations that simplify large‑dataset entry, search, and governance.