Raghupathi Reddy Shanigarapu
Vlsi & Ai Automation Design @Synopsys Inc
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WORK HISTORY
Vlsi & Ai Automation Design @Synopsys Inc
Ahmedabad, IN
Gained hands-on experience in advanced VLSI semiconductor design, HDL programming (Verilog/VHDL), and ASIC/FPGA design flows. Worked on AI-driven circuit optimization and robotics integration for automated chip design projects. Developed strong expertise in AI-embedded VLSI systems and intelligent automation frameworks.
EDUCATION
SRI VISWASANTHI EDUCATIONAL INSTITUTIONS
Physics & mathematics , Theoretical and Mathematical Physics
Keshav Memorial Institute of Technology
B.Tech, Electrical, Electronics and Communications Engineering
JNTUH College of Engineering Hyderabad
B.tech, Electrical, Electronics and Communications Engineering
Kakatiya Junior college Nizamabad
Intermediate , Physics & Organic Chemistry & Mathematics
ABOUT RAGHUPATHI REDDY SHANIGARAPU
I started noticing a pattern early in my work, most systems don’t fail because they are complex they fail because they are inefficient. That insight led me to focus on low-power VLSI and embedded system design, where even small inefficiencies translate into real losses in energy and electronic systems. I have been working on battery management systems for electric vehicles and renewable microgrids, focusing on reducing power loss while maintaining system stability. In one project, I analyzed a BMS design that showed unnecessary power consumption and unstable behavior under load. By restructuring the hardware architecture and validating it through FPGA prototyping and simulation, I reduced power consumption by 15–25% while maintaining stable performance across different operating conditions. At the implementation level, I improved hardware efficiency through RTL design optimization, achieving a ~20% reduction in FPGA resource utilization. To ensure reliability, I tested the system across 50+ simulation scenarios in MATLAB/Simulink, identifying and correcting failure points before deployment. My work combines Verilog RTL, embedded systems, and system-level simulation to move designs from concept to validated hardware. I focus on identifying where systems break, improving efficiency under constraints, and delivering measurable performance improvements. I am now preparing to advance this work through a master’s degree in Germany, where I aim to deepen my expertise in low-power semiconductor design, embedded systems, and energy-efficient architectures. My long-term goal is to contribute to the development of reliable, energy-efficient hardware for electric mobility and large-scale energy systems within Europe’s semiconductor and automotive ecosystem.
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