Muhammad Saad Farooq
NUST
· 2026
Email
saad.farooq81194@gmail.com
Phone
923004144759
GitHub
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Academic
Program
Bachelors Electrical Engineering
CGPA
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Year
2026
Education
School of Electrical Engineering & Computer Sciences
Address
Lahore, Pakistan
DOB
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Career
Current role
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Target role
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Skills
RTL design, computer architecture, embedded systems, FPGA-based design, AI accelerators, Verilog, digital design, FPGA development, machine learning, hardware–software co-design, digital system design, Verilog HDL, SystemVerilog, RISC-V Processor Design, Digital System Design, Hardware Verification, AXI Interface, Systolic Array Architecture, FPGA Implementation, Embedded C, Microcontroller Programming, GPIO & Peripheral Interfacing, I2C, SPI, UART, Arduino, ATmega328P, ATmega16A, STM32, ESP32, Arduino IDE, Atmel Studio, STM32CubeIDE, AI, Deep Learning, CNNs, image processing, PyTorch, TensorFlow, Google Colab, Python, data preprocessing, image analysis, Xilinx Vivado, ZCU102 FPGA, YOLOv8
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Muhammad Saad Farooq Cell: 923004144759 | Email: saad.farooq81194@gmail.com LinkedIn: https://www.linkedin.com/in/muhammad-saad-farooq-090066310 Address: HOUSE#121-B STREET#32/S HAMEED ALI PARK JINNAHCOLONY ICHRA , Lahore , Pakistan PROFESSIONAL PROFILE Final-year undergraduate Electrical Engineering student at NUST with strong interests in RTL design, computer architecture, embedded systems, FPGA-based design, and AI accelerators. Experienced in Verilog-based digital design, FPGA development, and machine learning through hands-on internships and academic projects. Seeking opportunities to apply hardware–software co-design, AI acceleration, and digital system design skills in research-oriented or industry environments. EDUCATION Bachelors Electrical Engineering School of Electrical Engineering & Computer Sciences , Islamabad (2026) INTERNSHIP EXPERIENCE National Engineering Complex of Pakistan 24-Jun-2025 - 23-Nov-2025 Designed and verified combinational and sequential digital circuits (logic gates, flip-flops, FSMs) using Verilog, strengthening RTL design and verification skills. Developed FPGA-based projects using Xilinx Vivado IPs and prepared structured documentation and presentations explaining design flow and functionality. Integrated and tested communication protocols including I2C, SPI, and UART, gaining hands-on debugging and interfacing experience. Improved design efficiency and reliability through modular coding practices and systematic testing. Machine Learning Intern – Digital Empowerment Pakistan 05-Feb-2023 - 06-Mar-2023 Gained practical experience in AI, Machine Learning, Deep Learning, CNNs, and image processing. Worked with PyTorch, TensorFlow, and Google Colab for model development and optimization. Used Python for data preprocessing and image analysis tasks. FINAL YEAR PROJECT High-Speed AI Accelerator for Real-Time Applications Designing and implementing an FPGA-based AI accelerator on the Xilinx ZCU102 platform for real-time deep learning workloads. Optimizing convolution layers and MAC processing elements using a systolic array architecture to achieve high throughput and low latency. Evaluating accelerator performance against CPU/GPU implementations in terms of speedup, resource utilization, and accuracy. Targeting real-time deployment of vision-based AI models such as YOLOv8. Tools & Technologies: Verilog HDL, Xilinx Vivado, ZCU102 FPGA, AI/ML Models TECHNICAL EXPERTISE RTL & FPGA Design RTL Design, Verilog HDL, SystemVerilog, Computer Architecture, RISC-V Processor Design, Digital System Design, Hardware Verification, AXI Interface, Systolic Array Architecture, FPGA Implementation Embedded Systems Embedded C, Microcontroller Programming, GPIO & Peripheral Interfacing, I2C, SPI, UART Microcontrollers: Arduino, ATmega328P, ATmega16A, STM32, ESP32 Tools: Arduino IDE, Atmel Studio, STM32CubeIDE
AI enrichment
Muhammad Saad Farooq is a final-year Electrical Engineering undergraduate specializing in RTL design, FPGA development, and AI accelerators. He possesses hands-on experience in Verilog-based digital design, embedded systems, and machine learning through internships and academic projects.
Skills (AI)
["Verilog HDL", "SystemVerilog", "FPGA Design", "Xilinx Vivado", "RTL Design", "Embedded Systems", "C/C++", "Python", "Machine Learning", "PyTorch", "TensorFlow", "Computer Architecture", "RISC-V", "I2C", "SPI", "UART"]
Status: ai_done
Provenance
Source file: SEECS - Electrical Engineering-2026.pdfFrom job #259 page 166
Created: 1778168427