Digital-Portfolio-Jaydeep Kailashbhai Parmar

This digital portfolio showcases the academic journey, technical expertise, and innovative projects of Jaydeep Parmar, an IT Engineering student specializing in Embedded Systems. It highlights core competencies in programming (C, Python, Java), embedded hardware design, and machine learning integration for secure navigation systems.

The presentation features:
• Academic achievements (CGPA 9.4/10)
• Research on Enhancing GNSS Resiliency using Deep Neural Networks
• Skills in microcontroller programming, sensor integration, and voice recognition systems
• Career interests in Firmware Engineering, Embedded Security, and Systems Integration

📩 Connect: [email protected]

1. Digital Portfolio: Jaydeep Parmar IT Engineering & Embedded Systems Welcome to my professional portfolio. I am an ambitious IT Engineering student with a specialization in Embedded Systems, seeking opportunities to apply my technical skills and innovative approach in a dynamic professional environment. This presentation highlights my academic achievements, core competencies, and passion for technical innovation.

2. MEET JAYDEEP PARMAR Driving Innovation in Embedded and IT Systems I am a highly motivated engineering student dedicated to exploring the intersection of Information Technology and sophisticated Embedded Systems. My academic journey has been defined by a commitment to excellence and a passion for developing resilient, high-performance solutions. My goal is to leverage my knowledge of deep neural networks, robust programming, and hardware integration to tackle complex real-world challenges, such as enhancing navigation system security. Contact Details Mobile: [phone] Email: [email protected] LinkedIn: View Profile

3. ACADEMIC & RESEARCH HIGHLIGHTS Excellence in Theory and Application Academic Excellence Achieved an outstanding 9.4/10 CGPA , demonstrating consistent mastery of complex engineering concepts and a strong foundation in core IT principles. Technical Innovation Project Developed a research project focused on Enhancing GNSS Resiliency Against Spoofing and Jamming using Deep Neural Networks. This research project involved integrating advanced machine learning models (DNNs) with embedded hardware to create a more secure and reliable Global Navigation Satellite System (GNSS) receiver, pushing the boundaries of autonomous systems security.

4. CORE COMPETENCIES A Robust Technical Skillset Programming C, C++: Low-level system development Python: Scripting, ML, and data processing Java: Object-Oriented design and application development Embedded Systems Arduino/Microcontroller Programming Real-time operating systems (RTOS) concepts Sensor Integration (e.g., GPS, IMUs) Data & Tools Database Management: MySQL, PostgreSQL OS Proficiency: Linux (Rocky) administration Hardware Control: Voice Recognition systems

5. EMBEDDED SYSTEMS FOCUS Bridging Software and Physical Interaction Microcontroller Expertise Proficient in programming various microcontrollers (e.g., AVR, ARM) for real-time control and data acquisition tasks. Hardware Interfacing Extensive experience with sensor integration, interfacing digital and analog components, and implementing communication protocols (SPI, I2C, UART). Voice Recognition & IoT Practical experience implementing voice recognition modules into embedded projects, laying the groundwork for future Internet of Things (IoT) applications.

6. Next Steps: Connect and Collaborate I am actively seeking internship and entry-level positions where I can contribute my skills in embedded systems development, IT infrastructure, and data-driven innovation. I am ready to bring my academic discipline and technical passion to your team. Interview Availability I am available for interviews and detailed discussions about my project work and technical capabilities. Career Interest Seeking roles in Firmware Engineering, Embedded Security, Systems Integration, or IT Development. Thank you for reviewing my portfolio. I look forward to the opportunity to contribute to your company's success.