My Story

Hello! I'm Rajiv, a Software Engineer on a mission to craft exceptional software experiences.Throught my learning, I have cultivated a deep understanding of key areas in the fiels, including Full-stack development, Mechine learning, Cybersecurity. I'm currently attending KGISL Institute of Technology as a Computer Science major. One of my key strengths is my problem-solving ability. I enjoy tackling intricate technical challenges and take pride in finding elegent solutions.Whether it's optimizing code for efficiency or troubleshooting complex issues, I approach every task with a meticulous and analytical mindset. I have enclosed my resume, which provides further details about my professional background. I would welcome the opportunity to discuss how my skills and experiences align with your needs in more detail.

Languages

My favorite languages for systems programming, software engineering, and data analysis.

Front-End

My preferred technologies for front-end web development and component design.

Back-End

My preferred technologies for back-end web programming and database architecture.

Tools

My favorite tools for version control, code editing, and container orchestration.

Featured Projects

Personal Website

I developed and designed a website using html5 and css, hosted on Github Pages, to showcase my web presence, story, work experience, education, projects, and achievements in an interactive and visually-appealing format.

Eye Control Mouse

Explore hands-free computer interaction with our Eye Control Mouse. This Python script uses computer vision for real-time eye tracking, turning your eye movements into precise mouse control. Blink detection enables effortless clicking, offering a unique and intuitive user experience. Discover a new level of accessibility and control with this open-source project.

Check it out!

AI-ML Based Dehazing / De-smoking Algorithm

This project focuses on the conception and implementation of an AI-ML powered Intelligent De-smoking/De-hazing Algorithm. The algorithm aims to deliver real-time, enhanced video feed from spaces afflicted by fire in indoor environments, thereby augmenting the capabilities of rescue teams and facilitating expedited and more effective response efforts.