Ravi Kumar

About

Computer Science Engineering student and Full-Stack Developer with hands-on experience in building scalable web applications and AI-powered solutions. Skilled in React.js, Next.js, Node.js, Express.js, MongoDB, SQL, and REST APIs, with a strong foundation in DSA and core CS concepts. I have worked on real-world projects involving real-time collaboration, authentication, AI integration, and backend systems, along with internship experience in Data Engineering and Artificial Intelligence. Currently looking for software engineering, full-stack, or backend opportunities where I can build impactful products and grow as a developer.

What I'm looking for

I'm looking for Software Engineer, Full-Stack Developer, or Backend Developer roles where I can build scalable web applications and AI-powered products. I'm particularly interested in opportunities involving React.js, Next.js, Node.js, Express.js, MongoDB, REST APIs, and real-time systems. I'm open to remote opportunities with product-focused teams where I can take ownership, solve real-world problems, and grow as a software engineer.

Experience

Data Engineering Intern

Celebal Technologies

May 2026 – Jul 2026

• Applied SQL and data integration tools to process and transform real-world datasets across 3 structured learning phases (Guided Learning, Project Experience, Evaluation & Certification); reduced manual data handling effort by 30% through scripted query workflows. • Collaborated with a 5+ member cross-functional team using Git and Agile (Scrum), completing weekly sprint deliverables across 3 program milestones with 100% on-time task completion.

SQLData EngineeringData IntegrationPythonGitAgile

Artificial Intelligence Intern

Infosys SpringBoard

Sep 2025 – Nov 2025

Built EmoTune, an AI-powered emotion-based music recommendation system using Python, Flask, OpenCV, and TensorFlow, achieving 87% facial emotion detection accuracy across 7 emotion classes. Developed 5+ RESTful API endpoints integrating ML inference with a React.js and Tailwind CSS frontend, reducing recommendation latency by 25%. Contributed 40%+ of the project codebase, including authentication, ML pipeline, and real-time recommendation logic, while working in a team of 4 using Agile and Git.

Artificial IntelligenceTensorFlowFlaskREST APIs

Education

Government Polytechnic Purnea

Diploma · Computer Science and Engineering

2021 – 2023

Certifications

Skills

Languages