-Digital design applications with VHDL-SPI, I2C, UART, VGA interface applications

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-Work on the design, development and optimization of RISC-based processor applications.-Coordinating special software and hardware tools developed for analysis and testing of the CAN bus protocol.-Verification of CAN bus communication systems in accordance with automotive industry standards-Developing software in line with standards and requirements by taking part in projects at the AUTOSAR Basic Software (BSW) layer.-Playing an active role in identifying, tracking and resolving software errors.

I played a pivotal role in an Artificial Intelligence project focused on predictive maintenance in aircraft engines. Leveraging my expertise in Python, I actively employed prominent libraries such as tslearn, sklearn, keras, and tensorflow for conducting time series analysis. My responsibilities involved working extensively on enriched datasets to develop models catering to both short-term and long-term predictive maintenance goals.Particularly, my exploration in time series analysis led me to delve into deep learning models like LSTM, CNN, and RNN, which I adapted specifically for anticipating maintenance needs in aircraft engines. Throughout this process, I successfully managed critical steps such as data preprocessing, feature engineering, and model optimization to enhance prediction accuracy.Furthermore, to augment the success of the project, I adhered to industry standards and best practices. Monitoring the progress of the project using various model performance metrics and visualizations, I ensured effective communication within the team, adopting solution-oriented approaches.

Software Developer- I took part in the development of web3 applications on the blockchain network using Solidity and React.- I did research on P2E NFT projects and continued to work on my own P2E project.