👋 Hi, I'm Sangini Garg

Computer Science Engineering Student • AI & Deep Learning

Building with AI. Solving real problems. Learning something new every day.

   

I'm a Computer Science Engineering student specializing in Artificial Intelligence & Deep Learning at Mody University of Science and Technology.

I enjoy transforming ideas into practical technology — from machine-learning solutions and data-driven applications to Java software and sustainability-focused projects.

My interests sit at the intersection of:

Artificial Intelligence • Machine Learning • Software Development • Data Analytics • Cybersecurity • Open Source • Sustainable Technology

Learn → Build → Experiment → Improve → Share

I'm currently focused on strengthening my foundations in AI/ML, Deep Learning, Data Structures & Algorithms, Java, Python, SQL, and Cybersecurity.

Artificial Intelligence & Deep Learning

Mody University of Science and Technology 2024 – 2028

🌾 Agronomics ML-Based Crop Price Forecasting A machine-learning project focused on addressing the problem of unpredictable crop prices faced by farmers. What I worked with 📊 Data analysis 🧹 Data preprocessing 🤖 Machine learning 📈 Crop price forecasting 🌱 Real-world agricultural application Recognition 🏆 Finalist — Triwizardathon 1.0 Tech Python Pandas Machine Learning	♻️ PackAware Technology × Sustainability A sustainability-focused tool that analyzes the environmental impact of product packaging. What it does 🧮 Calculates plastic usage ♻️ Assesses recyclability 🌱 Suggests eco-friendly alternatives 📊 Analyzes packaging impact 💡 Promotes sustainable decision-making Recognition 🏆 Built at AlgoVerse 2025 Tech Python Data Analysis Sustainability
📐 MathVisualizer Interactive Geometry Visualization A Java desktop application that visualizes geometric shapes and calculates their mathematical properties. Features 📏 Area & perimeter 📦 Surface area & volume 🎨 Graphics2D rendering 🖥️ Java Swing GUI 🗄️ SQLite integration Tech Java Swing Graphics2D SQLite	🔭 What's Next? I'm actively working toward deeper expertise in: Artificial Intelligence ↓ Machine Learning ↓ Deep Learning ↓ Intelligent Applications ↓ Real-World Impact Areas I'm particularly interested in: AI/ML • Data • Automation • Cybersecurity • Sustainable Technology

Jun 2026 – Jul 2026

• Gained hands-on experience through real-world AI projects.
• Worked on collaborative technical tasks.
• Applied AI concepts to practical problem-solving.
• Strengthened understanding of AI workflows and implementation.

Feb 2026 – Mar 2026

• Successfully completed the internship with a passing grade.
• Gained practical exposure to artificial intelligence concepts.
• Learned through the IBM Developer Skills Network ecosystem.

Contributing to technical community building, student engagement, and IEEE Computer Society initiatives.

Active involvement in the Computer Society of India, contributing to technical community activities and student engagement.

Contributing to IEEE activities involving outreach, communication, and website-related work.

Contributing to technical activities, student engagement, and community initiatives.

Learning and developing practical knowledge in Machine Learning through mentorship.

• 🎪 Organizer — Droid 7.0
• 🎪 Organizer — Droid 8.0
• 🎉 Cultural Head — IEEE Day 2025
• 🎤 Attended the AI Summit at Microsoft

Former member of Silver Steppers, a classical dance team.

Because good engineering isn't just about code — creativity, communication, teamwork, and discipline matter too.

Python · Java · C · HTML · SQL

Pandas · NumPy · Scikit-learn · Matplotlib

• Machine Learning
• Data Preprocessing
• Supervised Learning
• Data Analysis
• Data Visualization

MySQL · SQLite · Git · GitHub · VS Code · Jupyter

Data Structures & Algorithms
Object-Oriented Programming
Database Management Systems
Data Preprocessing
Supervised Learning
Data Visualization
Problem Solving

My goal is to move from understanding concepts → building systems → solving real-world problems.

class Sangini:

    def __init__(self):

        self.role = "CSE Student — AI & Deep Learning"

        self.interests = [
            "Artificial Intelligence",
            "Machine Learning",
            "Software Development",
            "Data Analytics",
            "Open Source",
            "Cybersecurity",
            "Sustainable Technology"
        ]

        self.currently_learning = [
            "Deep Learning",
            "Data Structures & Algorithms",
            "Java",
            "Cybersecurity"
        ]

    def philosophy(self):
        return "Learn. Build. Improve. Share."

    def say_hi(self):
        print("Thanks for stopping by — let's build something meaningful! 🚀")

while (alive) {
    learn();
    build();
    experiment();
    improve();
    share();
}

Interested in AI, software, data, or building something meaningful?

⭐ Thanks for visiting my profile — feel free to explore my repositories!