SAYOOJ S
About
B.Tech student in Electronics and Communication Engineering with specialization in VLSI. Passionate about CPU microarchitecture, performance verification, and RTL design.
Seeking to apply skills in performance analysis, infrastructure development, and post-silicon validation in challenging hardware verification roles.
Skills
Languages
- Python
- Perl
- C / C++
- Verilog / SystemVerilog
- Shell Script
- Java
Tools & Platforms
- Xilinx Vivado
- Cadence Virtuoso
- Git
- Linux/Unix
- ESP32
- OpenCV
Core Concepts
- CPU Microarchitecture
- RTL Design
- Performance Verification
- FPGA Flows
- Log Triage & Automation
- Functional Coverage
- Assertions
Projects
CPU Performance Verification & Automation
Developed Python-based CPU Log Parser to parse execution logs, count instructions, detect pipeline stalls, and generate detailed execution reports. Engineered a CPU Performance Analyzer to compute key microarchitectural metrics including CPI, IPC, and execution time from simulation logs.
Mini RISC-V Processor (5-Stage Pipeline)
Designing a pipelined RISC-V CPU core with stages: IF, ID, EX, MEM, and WB. Applying deep knowledge of CPU microarchitecture, pipeline hazards, and digital logic design to implement a functional processor.
AMBA APB Memory Interface
Implemented an AMBA APB protocol-compliant memory interface from scratch. Developed a random testbench and achieved high functional coverage to ensure design correctness and robustness.
SRAM Design & Verification
Designed and verified a synchronous SRAM module using SystemVerilog. Created a random constrained testbench and used assertions for verification, showcasing skills in modern verification methodologies.
8-bit ALU Design
Designed a synthesizable 8-bit Arithmetic Logic Unit supporting a range of arithmetic and logical operations, demonstrating fundamentals of RTL design.
Drowsiness Detection System
Developed a real-time system using embedded hardware and computer vision to detect driver fatigue, integrating hardware and software for functional validation.
YOLO-based Object Detection
Implemented lightweight edge AI vision for object detection tasks using YOLO algorithm and OpenCV.
Education
B.Tech – Electronics & Communication Engineering (VLSI Specialization)
Higher Secondary (Class XII)
Secondary (Class X)
Contact
📍 Hyderabad, India
Open for opportunities in Hardware Verification, RTL Design, and VLSI.