I am a highly driven Electronics and Communication Engineering student with a CGPA of 9.33, specializing in FPGA systems, Embedded Design, and AI-based applications.
My work focuses on building intelligent real-time systems that combine hardware-level efficiency with software intelligence.
I have hands-on experience with ZedBoard (Zynq-7000), ESP32, Arduino, and machine learning tools.
I enjoy solving real-world engineering problems and optimizing systems for performance, reliability, and scalability.
Designed and implemented a real-time hardware fault detection system using Verilog HDL on ZedBoard. The system continuously monitors logic states and detects hazards such as race conditions and glitches. Implemented testbench simulations, timing verification, and deployed on FPGA hardware.
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Built an intelligent IoT system using ESP32 to monitor environmental parameters such as temperature and humidity. The system triggers alerts when spoilage thresholds are exceeded. Designed for real-time monitoring and preventive action in food storage systems.
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Developed an autonomous robot using ultrasonic sensors and Arduino. The system detects obstacles in real-time and dynamically adjusts movement to avoid collisions.
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Implemented a Markov Chain-based predictive model using Python to estimate machine states and predict failures. This system helps in predictive maintenance and reduces downtime in industrial environments.
View CodeLanguages: Python, C, Embedded C, Verilog, VHDL
Tools: NumPy, Pandas, Arduino IDE, Vivado
Domains: FPGA, Embedded Systems, AI, Digital Design