Deep Learning Models deployment and optimization:-Optimize deep learning models for efficient deployment on embedded systems (Jetson Nano).-Achieve faster runtimes and improved performance through advanced optimization techniques.-Contribute to the field of model deployment on resource-constrained devices.-Document findings in a research paper for potential publication.

Some of my articles can be found here: https://www.cufestudentclub.com/profile/yosifhossam/profileand other published articles on the facebook page: https://shorturl.at/sHIUX

Working in Red Wizard and Green Wizard for Supervised Fine-Tuning (SFT) of the model to solve Mathematical problems correctly.

- C-programming- Interfacing pic18f4620 mcu- Automotive Communication protocols- Stm32fxx (based on Arm cortex M4) drivers- RTOS

educational and entertainment content for edumento: fb pagehttps://www.facebook.com/edumentoLink of my work:https://drive.google.com/drive/folders/19ezVWdooIPUEzaASuLrTMqcB6Fh8A7ct?usp=sharingri

Intern at comfort driving assistance team(CDA)/ Honda Team 1. Dynamic C Code Analysis: Unit Testing using Vector. 2. Static C Code Analysis: Klocwork and polyspace. 3. Implemented Python Script which extracts RAM and ROM usage from map File and generates a table in pdf format. 4. Contributed in a Python Script which Extracts Klocwork issues from excel files and generates a table in pdf format.