subashini_09

ABOUT ME

• I'm Subashini Cherukuri, a final-year Computer Science & Engineering student specializing in Artificial Intelligence and Machine Learning at Malla Reddy University, currently in my 4th year, 1st semester. I have a strong foundation in programming, data structures, and ML algorithms, backed by hands-on experience in real-world projects involving machine learning, web development, and AI-driven solutions.

• My technical toolkit includes Python, JavaScript, TensorFlow, React JS, MongoDB, and more. I enjoy solving complex problems, adapting quickly to new challenges, and collaborating across teams.

• Beyond academics, I’m an enthusiastic learner who finds joy in reading and expressing creativity through drawing. My goal is to contribute meaningfully to innovative AI-driven environments while constantly evolving as a tech professional.

**TECHNICAL SKILLS **(Existing)

1.Programming Languages:

• Python

• JavaScript

• Java

2. Web Development:

• HTML

• CSS

• JavaScript

• React JS

• Node JS

3. Machine Learning & AI:

• TensorFlow

• scikit-learn

• Natural Language Processing

• Deep Learning

4. Tools & Platforms:

• Google Colab

• GitHub

• VS Code

• Jupyter Notebook

• Salesforce

5. Databases:

• MongoDB

• MySQL

PLANNING TO LEARN IN FUTURE

1. Advanced AI & ML Concepts
2. Data Science & Analytics
3. Software & Backend Development
4. Cloud & DevOps

PROJECTS I WORKED ON

1. Fuel in Minutes

• A roadside emergency fuel delivery and assistance application

• Developed a web-based application using Python, HTML, and CSS to assist vehicle owners in remote areas by delivering fuel and mechanical services.

• Designed an intuitive interface and backend workflow for requesting and dispatching help efficiently.

• Aimed at enhancing safety and convenience during vehicle breakdowns in isolated locations.

2. E-Bug Tracker

• AI-integrated bug detection and tracking tool

• Built with HTML, CSS, and JavaScript, combined with AI techniques to identify bugs in code or software environments.

• Employed MySQL and MongoDB to handle data storage and retrieval.

• Streamlined error detection to assist developers in early identification and resolution of software issues.

3. Fire Detection Using Camera

• A Machine Learning-based real-time fire detection system

• Developed using Machine Learning algorithms to analyze visual input from camera feeds and detect fire without the need for physical sensors.

• Trained the model on diverse image datasets to recognize fire patterns with high accuracy.

• Aimed at providing an early warning system for residential, industrial, or remote settings where traditional sensors may not be practical.

CERTIFICATIONS

1. Python for Everybody – Coursera
2. Fundamentals of AI – Coursera
3. CSS (Basic) – HackerRank
4. Deloitte Job Simulation

ASPIRATIONS

• As a passionate Computer Science student specializing in Artificial Intelligence and Machine Learning, I aspire to become a skilled AI engineer who builds innovative solutions that create meaningful impact in the real world. I am particularly driven to explore areas like natural language processing, computer vision, and generative AI to solve practical problems across industries.

• My goal is to contribute to cutting-edge research and development projects in a collaborative, tech-forward environment. I aim to work with diverse teams, continuously upskill through hands-on experience, and eventually take on leadership roles where I can mentor others and shape the future of intelligent technologies.

-Long term, I envision myself contributing to open-source AI projects, building scalable products that make technology more inclusive.