👋 Hi, I'm Riya

🚀 MCA Student | Java & DSA Enthusiast | Full Stack Developer | AI Explorer | Aspiring Software Engineer

🎓 MCA student at GL Bajaj College of Technology and Management, focused on building a strong foundation in software engineering.

🧠 Passionate about Data Structures & Algorithms, problem solving, and writing efficient solutions.

☕ Building strong programming fundamentals with Java and C.

🌐 Interested in Full Stack Web Development and creating practical, user-focused applications.

🤖 Exploring Artificial Intelligence, Deep Learning, and AI-powered applications.

💼 Experienced in Full Stack Development through my internship at Technology Business Incubator (TBI-GEU).

☁️ Exploring Microsoft Azure and modern cloud technologies.

🧩 Practicing coding problems through LeetCode to strengthen technical interview skills.

🎯 Seeking an entry-level Software Development / Software Engineer role where I can apply my skills, contribute to innovative projects, and grow as a software engineer.

Think logically. Code efficiently. Build consistently. 🚀

Java C Python

HTML CSS JavaScript React.js Node.js Flask

MySQL SQLAlchemy

Git GitHub VS Code MySQL Workbench MS Office 365

Microsoft Azure TensorFlow/Keras GPT-4 API

Deep Learning based automated brain tumor detection system using MRI images.

An AI-powered web application designed to detect and classify brain tumors using a CNN-based deep learning model.

• 🧠 MRI-based tumor classification
• 🤖 CNN / Deep Learning model
• ⚡ Real-time inference using Flask
• 🖼️ Image upload and prediction
• 🔐 Secure user authentication
• 📊 Prediction result visualization
• 🌐 Responsive web interface
• 🗄️ SQLAlchemy database integration

Python Flask TensorFlow/Keras HTML CSS JavaScript SQLAlchemy

⚠️ Educational/Research Project: This project is intended for educational and research purposes and should not replace professional medical diagnosis.

AI-powered multi-agent nutrition assistant built with Python and Flask.

NutriWise AI is a multi-agent application developed as part of the IBM × EduNet Foundation University Engagement Programme, focused on providing intelligent AI-powered nutrition assistance.

• 🤖 Multi-Agent AI architecture
• 🧠 IBM watsonx.ai integration
• 💎 IBM Granite models
• 🐍 Python
• 🌐 Flask
• 🥗 AI-powered nutrition assistance
• 🔗 Intelligent agent collaboration
• ✨ Generative AI integration

Python Flask IBM watsonx.ai Granite Models Generative AI Multi-Agent AI

Full-stack AI-powered application for generating concise summaries from online articles.

Built using React.js, Node.js, JavaScript, and GPT-4 API to transform lengthy articles into concise summaries while preserving important information.

• 🤖 GPT-4 powered summarization
• ⚛️ React.js frontend
• 🟢 Node.js backend
• 🔗 GPT-4 API integration
• 📝 Article processing
• 📊 Responsive result visualization
• ⚡ Real-time summary generation
• 📉 Approximately 60–80% article length reduction while preserving key information

React.js Node.js JavaScript GPT-4 API HTML CSS

DSA is one of my primary areas of focus while preparing for software engineering interviews.

                    PROBLEM
                       │
                       ▼
                   UNDERSTAND
                       │
                       ▼
                     ANALYZE
                       │
                       ▼
                  BRUTE FORCE
                       │
                       ▼
                    OPTIMIZE
                       │
                       ▼
                   IMPLEMENT
                       │
                       ▼
                     TEST
                       │
                       ▼
                    IMPROVE

Arrays • Strings • Linked Lists

Stacks • Queues • Trees

Searching • Sorting • Recursion

Hashing • Two Pointers • Sliding Window

🎯 Goal: Turn consistent DSA practice into strong interview-ready problem-solving skills.

📅 November 2024 – February 2025

• Applied full-stack web development and software engineering practices.
• Implemented new features and UI improvements.
• Enhanced website functionality and user experience.
• Debugged and optimized web applications.
• Worked on practical software development tasks.

GL Bajaj College of Technology and Management

2025 – 2027

CGPA: 8.78

Shivaji College, University of Delhi

2022 – 2025

CGPA: 7.22

DS Public School, Muzaffarnagar

2021 – 2022

Percentage: 83.2%

DS Public School, Muzaffarnagar

2019 – 2020

Percentage: 95.8%

Microsoft Learn & FICE — February 2026

Completed a 25-hour Microsoft Azure cloud fundamentals training program.

Azure Virtual Machines • Networking • Storage

Identity Management • Cloud Deployment • Application Hosting

VOIS & Edunet Foundation — July 2026

Completed a certified training program covering full-stack web development fundamentals.

• Frontend Development
• Backend Development
• Full-Stack Development Fundamentals
• Practical Development Workflows

IBM SkillsBuild — July 2026

Completed IBM SkillsBuild training covering foundational Artificial Intelligence concepts and applications.

• Artificial Intelligence Fundamentals
• Real-world AI Applications
• Industry Applications
• IBM BOB
• Hands-on AI Projects

• 🧠 Strengthening Data Structures & Algorithms
• ☕ Improving Java programming
• 🌐 Building Full Stack applications
• 🤖 Exploring AI & Deep Learning
• 🧩 Solving LeetCode problems
• ☁️ Learning Cloud & Azure technologies
• 💼 Preparing for Software Development roles

Data Structures & Algorithms
          ↓
     Advanced Java
          ↓
 Full Stack Development
          ↓
    AI / Deep Learning
          ↓
    Cloud & Azure
          ↓
   Software Engineering

        Programming Fundamentals
                   │
                   ▼
       Data Structures & Algorithms
                   │
                   ▼
         LeetCode Problem Solving
                   │
                   ▼
          Full Stack Development
                   │
                   ▼
            AI-Powered Projects
                   │
                   ▼
             Cloud & Azure
                   │
                   ▼
           Software Engineer 🚀

Think Deep. Code Smart. Solve Problems. Build Impact. Keep Growing. 🚀

I believe great software is built by more than just writing code.

It starts with understanding the problem, thinking logically, choosing the right approach, and writing solutions that are simple, efficient, and maintainable.

🧠 Think — Understand the problem before writing the solution. 💡 Learn — Keep strengthening fundamentals and exploring new technologies. 💻 Code — Turn ideas into clean, practical, and reliable software. 🧩 Solve — Approach challenges with logic, patience, and persistence. 🚀 Build — Create real-world projects that solve meaningful problems. 📈 Improve — Learn from mistakes, optimize continuously, and become better every day.

For me, every problem is an opportunity to learn, every project is an opportunity to build, and every challenge is an opportunity to grow.