I design and develop robust hardware solutions—focusing on embedded systems, FPGA acceleration, machine learning hardware, and quantum circuit explorations—to push technology forward.
Firmware, microcontrollers, real-time OS.
Verilog/VHDL, parallel processing, optimization.
High-throughput designs, on-device inference.
Qiskit, quantum gate design, algorithm development.
Exploring new frontiers in hardware integration.
Hello! I'm Ganap, a dedicated Computer Systems Engineering student at ASU, deeply passionate about emerging hardware technologies. My journey began with embedded system designs and quickly expanded into FPGA acceleration and quantum computing research.
I specialize in building innovative solutions that push the boundaries of speed and efficiency—from low-level firmware to high-level quantum algorithm design. My work is driven by curiosity, precision, and a commitment to technological advancement.
Whether I'm mentoring peers or exploring new research areas, my goal is to blend classical hardware engineering with next-generation computing paradigms.
I combine hardware expertise with software proficiency to build complete, high-performance systems. Below are the core competencies that I bring to each project.
Expert in circuit design, FPGA/Verilog programming, PCB layout, simulation, prototyping, and rigorous testing for reliable performance.
Skilled in designing custom ML accelerators optimized for high throughput, utilizing parallel processing and hardware optimization techniques.
Familiar with quantum circuit design, algorithm development using Qiskit, and exploring quantum computing fundamentals.
Experienced in Altium Designer, MATLAB/Simulink, IAR/Keil, and other industry-standard tools for hardware design and simulation.
Here are some of my notable projects that showcase my expertise in embedded design, FPGA acceleration, ML integration, and quantum explorations.
Implemented a comprehensive fitness tracker on an AMD Xilinx FPGA board, integrating sensor data for real-time activity tracking with custom Verilog design.
Developed a custom machine learning accelerator that optimizes intensive ML computations through parallel processing and tailored hardware optimization techniques.
Explored quantum circuit design and simulation using Qiskit, implementing innovative algorithms to harness the potential of quantum computing on a small scale.
Designed a robust remote sensing unit for harsh environments featuring real-time data logging and secure transmission protocols.
Engineered an autonomous rover equipped with ultrasonic sensors and advanced pathfinding algorithms for dynamic obstacle avoidance.
Created a modular educational platform offering interactive hardware modules to facilitate hands-on learning in embedded programming and digital design.
If you’d like to discuss a project, research collaboration, or just want to say hello, feel free to reach out!