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ATUL RAJ

Full-stack Developer
Computer Science Engineering Undergraduate

Computer Science Engineering Undergraduate

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Free / Basic
Bengaluru, India

About

Computer Science Engineering undergraduate (expected graduation 2027) with hands-on experience in full-stack web development and AI-powered applications. Proficient in JavaScript, Java, React, Next.js, Node.js, RESTful APIs, SQL/NoSQL databases, authentication, and GenAI integration. Strong foundation in Data Structures and Algorithms (150+ problems solved on LeetCode), DBMS, Operating Systems, and Computer Networks.

Education

Bachelor of Engineering

Acharya Institute of Technology, Bengaluru (Visvesvaraya Technological University (VTU))

Computer Science and Engineering · 2023 – 2027 · CGPA: 8.33

Projects

ResumeGuru – GenAI Interview Prep & Resume Optimizer

Architected a full-stack GenAI platform using React 18, Node.js, Express.js, and MongoDB for personalized interview preparation and ATS-tailored resume generation. Integrated Google Gemini APIs with Zod schema validation to generate candidate-job match scores, identify skill gaps, and create interview preparation frameworks. Engineered a Puppeteer-based PDF rendering pipeline for dynamic ATS-compliant resume generation and downloadable documents. Built resume text extraction and job-description analysis workflows; implemented JWT authentication, token blacklisting, and strict CORS policies.

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Debugify - AI Code Learning Platform

Led a 3-member team from design to deployment by coordinating feature ownership, code reviews, and Git-based collaboration workflows across the sprint. Built a full-stack AI-powered coding and debugging platform using Next.js, React 19, and the App Router architecture. Integrated Monaco Editor for real-time code editing, syntax highlighting, and programming support across 10+ languages. Integrated Google Gemini 2.0 APIs to provide contextual code explanations, debugging assistance, and AI-powered learning support. Implemented authenticated routes, role-based access control, real-time chat, multi-file management, and PDF generation using jsPDF.

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AI Inventory Management System

Collaborated with a 3-member team using Git-based workflows to design and ship a full-stack inventory management application with Next.js 15 and React 19. Contributed to AI-powered inventory analysis and management features, and designed RESTful APIs for secure frontend-backend communication. Integrated Google Gemini 2.0 APIs to process 100+ user queries with approximately 95% response accuracy for AI-assisted inventory operations. Implemented OAuth 2.0 authentication using Clerk, real-time chat, PDF export, and multi-file processing, reducing documentation effort by 80%.

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Achievements

LeetCode Problem Solving

Technical Skills

Solved 150+ data structures and algorithms problems on LeetCode, building consistent proficiency in problem-solving for technical interviews.

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Hackathon Runner-Up

Awards

Runner-Up in multiple hackathons, including Hackaphasia and Big Hack.

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Production-Ready Full-Stack Applications

Projects

Developed and deployed multiple production-ready full-stack applications with integrated AI capabilities.

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