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Fullstack Engineer with less than a year in MERN Stack & AI Applications
Results-driven Full Stack Developer with 9 months of professional experience building scalable, production-grade web applications using the MERN stack (MongoDB, Express.js, React.js, Node.js). Proven ability to design RESTful APIs, implement JWT-based authentication, and integrate AI/GenAI capabilities (Google Gemini API) into full-stack applications. Strong foundation in Data Structures & Algorithms, clean code standards, and Agile development workflows. Seeking a Software Engineer or MERN Stack Developer role to drive impactful product development.
PDA College of Engineering, Kalaburagi
B.E. · Information Science & Engineering
August 1, 2020 – June 30, 2024
Gurukul Independent PU College
12th Standard · Science
June 1, 2019 – May 31, 2020
New Noble Boys High School
10th Standard (SSLC)
N/A – May 31, 2018
Aroha Technologies
Software Developer Engineer
June 1, 2025 – Present
India
AI Interview Preparation Platform
May 15, 2026 – Present
Built a full-stack AI-powered web application that analyzes resumes, job descriptions, and self-descriptions to generate personalized interview strategies Integrated Google Gemini API to produce match scores, technical & behavioral interview questions, skill gap analysis, and a day-wise preparation roadmap Implemented PDF resume generation using Puppeteer and resume text extraction using pdf-parse for seamless file upload workflows Secured application with JWT-based authentication; validated AI responses using Zod schema to prevent malformed data from entering MongoDB Deployed frontend on Vercel and backend on Render; live at: interviewprep-gen-ai.vercel.app
View ProjectTaskify - Task Management System
May 15, 2026 – Present
Developed a full-stack personal task management application with CRUD operations, status filtering, and priority categorization Implemented JWT-based authentication, Mongoose schemas with validation, and secure REST API endpoints with role-based access control Built responsive UI using React.js and Tailwind CSS with clean component architecture and Redux for global state management
Cultural Fit Analysis
The candidate exhibits strong initiative and a passion for technology through their diverse personal projects, including an AI-powered platform. Their experience highlights collaboration in an Agile environment, suggesting a team-oriented and adaptable mindset. This proactive approach and willingness to engage with new technologies align well with a dynamic and innovative team culture.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and problem-solving skills, is a quick learner, and is adaptable to new technologies. They are committed to clean, maintainable code and are familiar with Agile/Scrum workflows and collaborative team development, indicating a good operational fit for a modern engineering team.