A passionate electrical engineering graduate with a robust interest in both hardware and software, who possesses a solid foundation in circuit design and programming with proficiency in languages such as C++ and Python as well as expertise in microcontrollers and FPGA design.
The design contains 34 fractional cells (placed: 23,591).
Presented three types of 6T SRAM cells: conventional 6T SRAM, existing 6T SRAM, and proposed 6T SRAM.
A Python code to detect objects listed in 'coco.names'. The OpenCV library was utilized to locate instances of these objects in images or videos.
A ruby on rails application where authenticated users can create collections and also items under collections. This is the final project for my Ruby internship at itransition.com.
◦ In the designing of proposed 9T SRAM cell, three more transistors were used as compared to conventional 6T SRAM cell. It consisted single ended read and double ended write operation. The SRAM structures had been designed to minimize the power consumption compared to conventional 9T SRAM cell by adding a Read de-couple circuit for read operation.
◦ Skills: LTspice, Cadence Virtuoso
◦ Contribute to AI data training using programming languages, primarily Python.
◦ Developed a Ruby on Rails application for authenticated users to manage collections and items.
Python, Bash, Ruby, C, C++, MATLAB, SQL, Verilog HDL and SystemVerilog HDVL.
Cadence (Virtuoso, Genus & Encounter), LTspice, VsCode, OrCAD PSpice, Simulink, Proteus and Intel Quartus Prime.
Microsoft: Word, Excel, PowerPoint and Google: Sheets, Docs, Forms.
Linux and Windows.
VLSI, Programming, Quantum Computing, Artificial Intelligence