Rithwik Godishala

Versatile professional with expertise in Matlab/Simulink, EDA, VHDL, and Python, complemented by a strong foundation in electronics design and IoT device knowledge. Demonstrated proficiency in project coordination and programming languages such as C, driving efficient solutions in complex technical environments. Committed to leveraging advanced skills to contribute to innovative projects and technological advancements.

Brain Tumor Detection Using CNN
* Data Processing: MRI scans were gathered and preprocessed, with data augmentation, normalization, and scaling applied to enhance model generalization.
*  Model Development: Used technologies like TensorFlow/Keras to design and develop a CNN architecture for tumor classification and feature extraction.
* Evaluation and Validation: used criteria such precision, recall, F1-score curves to assess the model's performance. Carried out cross-validation to ensure robustness and dependability.

Real-Time Eddy Current Testing Signal Analysis Using IoT-Enabled XIAO ESP32 and MATLAB GUI

* Designed and implemented a non-destructive testing (NDT) system leveraging Eddy Current Testing (ECT) principles for defect detection in conductive materials.

* Integrated Seeed Studio XIAO ESP32 (IoT-enabled microcontroller) for real-time signal acquisition and wireless data transmission.

* Developed a custom MATLAB GUI to visualize, process, and analyze ECT signals with features such as filtering, defect localization, and signal classification.

* Enabled cloud-based monitoring and data logging for remote inspection and analysis, improving accessibility and efficiency of testing.

* Demonstrated applications in industrial quality assurance, structural health monitoring, and predictive maintenance.