Yadunand Kamath - Portfolio

Experience

Capgemini

Aug 2022 - Feb 2024

Associate Software II

Gandhinagar, GJ

Developed software for a medical product customized to meet the requirements of an international medical equipment company.
Optimized the large codebase using Modern C++ features including object-oriented programming (OOPS), STL containers & algorithms, smart pointers, multi-threading, file handling and exception handling while adhering to industry best practices.
Designed & deployed a client-server Windows GUI application using MFC, Win32 API and gRPC framework, automating workflows and reducing manual efforts by around 70%, improving team efficiency.
Identified & resolved various software defects by performing root cause analysis and unit testing using Visual Studio Debugger, improving hospital operational efficiency and patient safety.
Ensured high code quality by performing static code analysis using Coverity, and maintained detail-oriented documentation according to organizational guidelines.
Followed the Agile methodology by tracking tasks, working in Sprints and collaborating with cross-functional teams to ensure the completion of tasks within the deadline.
Acquired proficiency in Java and SQL through formal training programs.
Modern C++ (C++11/C++14/C++17), Visual Studio, MFC, Win32 API, gRPC, Java, SQL (PostgreSQL), Coverity, TortoiseSVN, Agile, Github

VI Solutions

Aug 2021 - Oct 2021

Intern

Bengaluru, KA

Completed training in graphical programming using National Instruments' LabVIEW platform.
Developed and implemented applications across multiple domains including Embedded Systems, Image Processing, Machine Learning and Industrial IoT.
NI LabVIEW, Embedded Systems, Image Processing, Machine Learning, Industrial IoT

UNIQ Technologies

Jan 2020

Intern

Bengaluru, KA

Completed training in embedded systems development, focusing on microcontroller programming and hardware integration.
Worked with Arduino IDE and simulated various circuits using Proteus.
Embedded C, Arduino, Proteus Design Suite

Projects

Open Source Software Development

Active contributor in the open source community.

Technologies: C/C++, Bash, Makefiles, Linux, Vim, Git, Github

Actively contributing to various open source projects by performing enhancements, fixing bugs, improving documentation, etc.

SyncStream

SyncStream is a real-time, multi-user chat application built for Windows. It allows multiple users to connect to a central server and broadcast text messages in real time.

Technologies: C++, MFC(Microsoft Foundation Class), Winsock(Windows Sockets API), Multithreading, Visual Studio

Developed a client-server application utilizing TCP sockets for reliable communication between users.
Implemented multithreading on the server to concurrently handle multiple client connections, ensuring responsiveness and scalability.
Designed a Windows user interface that allows users to connect to a server, enter a unique username, and broadcast text messages to other users in real time.

Brain Fuel

Brain Fuel is an application that displays a random quote from a database of quotes.

Technologies: Java, SQL(PostgreSQL), SpringBoot, JDBC, Thymeleaf, HTML, CSS, Bootstrap, Postman, REST API

Created a database of 500+ quotes on PostgreSQL.
Developed a REST API based backend application using Java, SpringBoot and JDBC.
Designed a frontend webapp to display a random quote from the database using HTML, CSS, Thymeleaf and Bootstrap.

Flight Ticket Booking System

Associated with Capgemini

A flight ticket booking application (backend) which provides users the freedom to browse flights, view the timings and flight fares, and book tickets for multiple passengers.

Technologies: Java(JEE), SQL(Oracle), SpringBoot, JPA Hibernate, Postman, REST API

Collaborated with a team to develop a Java - SpringBoot backend application with RESTful API services using Oracle database.
Designed the application by using entities, services, implementations, DAO and controller.
Implemented CRUD operations with Java Persistence API, Global Exception Handling, and performed API testing with Postman.

Physical Layer Encryption For Wireless Communication System

Associated with RNSIT

An implementation of physical layer encryption(PLE) on wireless communication systems to provide an additional layer of security.

Technologies: Python, GNU Radio, Signal Processing, Cryptography, Computer Networks

Collaborated on a research project implementing PLE techniques to enhance security in wireless communication systems.
Developed the encryption algorithms using Python & GNU Radio, and conducted performance analysis by measuring Bit Error Rate (BER) for different PLE techniques and cryptographic key lengths.
Published a research paper titled ”Implementation of Physical Layer Encryption For Wireless Communication System” in the IEEE North Karnataka Subsection Flagship International Conference Journal.

MNIST Dataset Training in LabVIEW

Associated with VI Solutions

Training of MNIST dataset using LabVIEW.

Technologies: LabVIEW, Image Processing, Machine Learning

Developed a LabVIEW model to train the MNIST dataset.
Reconstructed the image from the 3D array values in the dataset and trained the model.

Compressed Sensing (CS) Model for Data Acquisition & Reconstruction

Associated with RNSIT

Development of CS model for data acquisition and reconstruction.

Technologies: MATLAB, SIMULINK, Signal Processing

Collaborated with a team to deliver a MATLAB-SIMULINK model for data compression and reconstruction using the concept of compressive sensing.
Worked with audio signals to test the model.
Presented a technical paper in the 2021 International Conference on Circuits, Controls & Communication (CCUBE) at RNSIT, Bengaluru.

Network Scanner

Associated with Bolt IoT

A script that scans a network and provides details of all hosts connected on that network.

Technologies: Python, Scapy, Linux, Bolt IoT, Telegram API, Network Security

Developed a Python-based network scanner that detects active devices on a local network by sending ARP requests and parsing responses using Scapy, providing IP and MAC addresses of connected devices.
Integrated Bolt IoT for hardware automation.
Implemented Telegram API alerts to send real-time scan results to a private bot, enabling remote monitoring.
Designed a user-friendly Linux CLI for inputting target IPs and displaying results in a structured format.

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