Raj Kumar
@rajkumar21
Full-Stack & Flutter developer building production-ready web and mobile apps using React, Spring Boot, and Flutter.
What I'm looking for
I'm a B.Tech CSE student (2026) specializing in Full-Stack and Flutter development, with hands-on experience across web and mobile platforms. I've interned at HCLTech, where I built a full-stack e-commerce platform handling 200+ daily queries and cut deployment time by 90%. As a Machine Learning intern at CodSoft, I built a fraud detection model with 92% precision and a movie genre classifier with 88% accuracy.
My key projects include CURIEM, a CRM & project management platform built with React, Spring Boot, and JWT authentication, and RescueZero, a fully offline emergency response app in Flutter with GPS navigation and zero cellular dependency. I also freelance as a WordPress developer, having worked with 10+ clients and improving their page load speeds by 60%.
I have a research paper published in IJRTI Journal (Jan 2026) and bring strong skills in React, Flutter, Python, Java, Django, and cloud deployment tools.
Experience
Work history, roles, and key accomplishments
Freelance Web Developer
Self Employed
Dec 2025 - Present (6 months)
Developed custom WordPress solutions for 10+ clients, increasing online user engagement by 45%. Built React-based CRM dashboards with JWT authentication, role-based access control, and REST APIs to unify client and project management.
Built a full-stack e-commerce site with a dedicated database handling 200+ daily product queries during testing, improving load speed by 30%. Automated deployments to cut manual release time from 2 hours to 20 minutes.
Web Development AI Intern
HCLTech
Dec 2024 - Mar 2025 (3 months)
Built a full-stack e-commerce site with a dedicated database handling 200+ daily product queries during testing, improving load speed by 30% versus baseline. Automated deployments using cloud tools, reducing manual release time from 2 hours to 20 minutes.
Machine Learning Intern
CodSoft
Dec 2024 - Jan 2025 (1 month)
Designed a credit-card fraud detection model using Logistic Regression that achieved 92% precision and 90% recall on a 50k-transaction dataset. Built a movie-genre prediction system that classified 5,000+ movie plots with 88% accuracy using TF-IDF features.
Designed a credit-card fraud detection model using logistic regression achieving 92% precision and 90% recall on a 50k-transaction dataset. Implemented movie-genre prediction using TF-IDF features, correctly classifying 5,000+ movie plots with 88% accuracy.
Education
Degrees, certifications, and relevant coursework
KCC Institute of Technology and Management
Bachelor of Technology, Computer Science Engineering
2022 - 2026
B.Tech in Computer Science Engineering at KCC Institute of Technology and Management (2022–2026).
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Social media
Job categories
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