Ayush Kumar

I’m a Computer Science student with hands-on skills in Java, React.js, Spring Boot, Node.js, and blockchain development. I enjoy working across the tech stack—from building secure backends to creating responsive, user-friendly interfaces.

Always eager to explore new technologies, improve my coding skills, and apply them in real-world applications. Open to opportunities in software development and tech innovation.

I am a results-driven Software Engineering and AI enthusiast with hands-on experience across full-stack development, artificial intelligence, data analytics, computer vision, and IT/ERP operations. Over multiple internships, I’ve built real-world applications, solved industry-level problems, and contributed to sustainability, automation, and digital transformation.

I have worked with Java Spring Boot, React.js, Python, AI/LLMs, SQL databases, and data analytics tools, delivering end-to-end solutions—ranging from an enterprise-style AI-powered expense tracker, to CNN-based garbage classification systems, to CO₂ emission analytics for environmental sustainability, and even ERP-based operational process improvement.

My professional journey includes

Full-Stack & AI Development (Infosys Springboard)

Built BudgetWise, a full-stack AI-driven financial management system using Spring Boot, React, REST APIs, Ollama LLMs, and DBeaver. Strengthened skills in backend architecture, frontend UI, secure authentication, system design, and AI integration.

Computer Vision & Deep Learning (YBI Foundation)

Developed a CNN-based Garbage Detection & Classification model using Kaggle datasets and extensive preprocessing. Improved waste-sorting automation and demonstrated the impact of AI in sustainability.

AI & Data Analytics (AICTE — Shell India — Edunet)

Analyzed CO₂ emissions from transportation systems using AI and analytics. Created predictive insights and sustainability reports to support pollution reduction and green skills initiatives.

IT & ERP Support (Shri Chari Wires)

Maintained ERP systems, handled IT troubleshooting, managed export-related resource tracking (steel/materials), improved data accuracy, and supported production, quality, and inventory workflows.

Across all experiences, I’ve strengthened my skills in problem-solving, system optimization, cross-team collaboration, data-driven decision-making, and delivering scalable real-world applications.

I am pursuing a Bachelor of Technology (B.Tech) in Computer Science & Engineering (2022–2026) at K.R. Mangalam University, where I have built strong foundations in software development, data structures, operating systems, AI/ML, networks, and full-stack engineering. Throughout my degree, I have worked on real-world projects involving Java Spring Boot, React.js, Python, AI/LLMs, databases, and computer vision, aligning my academic learning with industry-driven applications.

Prior to this, I completed my 12th grade in PCM (Physics, Chemistry, Mathematics) from Rawal International School, which provided the analytical and mathematical base essential for engineering, problem-solving, and algorithmic thinking.