Suresh Kumar Kumawat

Software Engineering Master’s student specializing in Digital Transformation in France, with a strong foundation in computer science and application development. Experienced in building end-to-end solutions using Python, SQL, React, and Node.js, with a focus on clean, reliable code.

Geolocalization Application(Mobile)
• This project uses different algorithms/approches like Triangulation,SIFT Algorithm,AKAZE Algorithm.
• Triangulation is geometric technique determining location by forming triangles from known points, It further estimates 3D position from multiple 2D images taken from different viewpoints.
• SIFT-Scale-Invariant Feature Transform detects keypoints invariant to scale and rotation, it is widely used for object recognition, image stitching, and tracking.
• Whereas Accelerated-KAZE improves speed while maintaining robustness against scale changes,it also uses nonlinear

Ultrasound Video Optimal Frame Detection

• Developing a deep learning model to detect the optimal diagnostic frame from fetal ultrasound videos captured using low-cost probes.

• Includes literature review, evaluation of state-of-the-art methods, and implementation using PyTorch/

TensorFlow to support fetal growth assessment in low-resource settings.

Predictive Maintenance Model

• Designed and implemented a predictive maintenance solution using real-world sensor and machin

performance data.

• Performed data preprocessing (handling missing values, outlier removal, scaling) and crafted domain-specific features.

• Evaluated multiple ML models such as Random Forest, XGBoost, and SVM to identify optimal failure prediction performance.

• Produced insights enabling proactive maintenance scheduling, cost reduction, and improved system reliability.