Divyansh Raina

Passionate about product development and software engineering, possessing a strong theoretical understanding of mobile and computer hardware. Keen interest in staying up-to-date with the latest technological advancements, driven to create innovative solutions that enhance user experiences. Expertise lies in leveraging technical skills to design and develop cutting-edge software applications. Committed to delivering high-quality results, thriving in collaborative environments to contribute problem-solving abilities and drive projects towards success.

Gait Recognition System using OpenCV and pyarma(Capstone Project)

• Gait Identification technology concentrates on features like locomotive movement of the whole body, pattern of movement of specific body parts and other such physical features to determine the identity of an individual even if their facial features are obscured.
• The architecture depends on the image for two factors: Getting the contour images so that we can extract the white portion or the human portion in the silhouettes, finding the height and width of the bounding box which complete covers the human portion so that we can analyze the aspect ratio and it can be utilized with checking the person with various depths of field.
• Paper Publication: https://ieeexplore.ieee.org/document/10170108

Design and Development of a microprocessor architecture using Verilog HDL 

• Developed a microprocessor architecture in Verilog HDL, comprising essential components like the instruction register and control logic module.
• Integrated the components to form a functional microprocessor unit and conducted thorough verification and testing to ensure correctness and reliability.
• Features:

         1. Instruction Register(ir), Program Counter(pc),control logic, Register FIle and Arithematic and Logic Unit reg_alu(reg_file + alu) and mproc 

         2. Consists of 128x16 bit RAM, 16 bit ALU and 8x16 bit reg_file 

Independent microservices of a monolithic app using Docker and K8s(Hackathon)

• Microservices Architecture: The monolithic calculator app was transformed into microservices, each catering to a specific arithmetic operation. APIs were developed for these microservices, allowing for streamlined and isolated functionality.
• Containerized Deployment: Dockerfiles were created to package each arithmetic operation into separate containers, enabling port exposure for API access. This containerization approach ensures efficient deployment and scalability while maintaining operational independence.

Detection of Overloading on network using Wireshark 

• Using Wire shark and T-shark for detecting and tunneling for generating traffic.
• We used APIs like GeoIP for detecting and tracking addresses. This project can be used to identify traffic and send the overloaded traffic to an edge server.

-> Finalist in Morgan Stanley Code for Good Competition

-> Under Rank 100 in OPPO coding contests