Full Stack Engineer with 1+ years in MERN, Cloud, and AI development.
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Aspiring fresher software developer with strong hands-on experience in building full-stack web applications using the MERN stack. Passionate about developing scalable backend APIs, responsive front-end interfaces, and deploying applications using cloud and DevOps fundamentals. Experienced in working with real-world projects, version control, and CI/CD basics, with a continuous learning mindset and strong problem-solving skills. Eager to contribute to a collaborative team and grow as a professional software engineer.
Vignan's Lara Institute of Technology and Science
Bachelor of Technology · Computer Science and Artificial Intelligence
August 1, 2022 – June 30, 2026
Edunet (AICTE)
Web Development Engineer Intern
November 1, 2024 – January 1, 2025
India
Eduskills
AWS Cloud Architect Intern
September 1, 2024 – November 1, 2025
India
AI Virtual Assistant
June 1, 2026 – Present
Developed a voice-enabled virtual assistant using the Gemini API. Integrated Web Speech API for text-to-speech and speech recognition. Implemented Context API for smooth state management across React components.
View ProjectLanguage Exchange Platform with Real-Time Chat and Video Call
June 1, 2026 – Present
Built a full-stack MERN application for language practice with real-time chat and video communication features. Developed secure RESTful APIs using Node.js and Express.js for authentication, user management, and conversations. Integrated GetStream.io Chat & Video SDKs for low-latency messaging, presence tracking, and secure calls. Designed responsive UI using React.js and Tailwind CSS and deployed the app on Render with production configurations.
Equity Research Tool - Generative AI with LangChain
June 1, 2026 – Present
Developed an AI-powered equity research assistant enabling users to query and analyze 100+ financial documents using natural language inputs. Implemented Retrieval-Augmented Generation (RAG) with LangChain and vector embeddings, improving response relevance and contextual accuracy. Integrated LLM APIs with semantic search pipelines, reducing manual research effort and enabling faster insight generation.
Expense Tracker Application
June 1, 2026 – Present
Built a web-based expense tracker with category-based tracking and visualization. Implemented CRUD operations with PostgreSQL for persistent storage. Enhanced UX using responsive HTML, CSS, and JavaScript.
Helping Hands – Donation Management System
June 1, 2026 – Present
Built a full-stack platform connecting donors and receivers to distribute excess resources efficiently. Implemented role-based authentication and RESTful APIs for posting needs, viewing feeds, and managing donations. Designed responsive UI in React.js with dynamic updates for request creation and fulfillment status. Used MongoDB with Mongoose for secure data storage and scalable backend integration.
Data Structures and Algorithms using JAVA
NPTEL
June 1, 2026 – Present
Programming in JAVA
NPTEL
June 1, 2026 – Present
Web Development Bootcamp
Udemy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from MERN stack applications to AI-powered tools and donation management systems, indicates a broad interest in technology and a willingness to explore different domains. The 'Full Stack Engineer' target role aligns well with the demonstrated skills in both frontend (React.js, HTML, CSS) and backend (Node.js, Express.js, REST APIs, MongoDB, PostgreSQL) development. The inclusion of cloud and DevOps fundamentals, along with Generative AI projects, suggests a proactive approach to learning and adapting to new technologies, which is a good cultural fit for an innovative environment. The internship experiences, though short, show exposure to professional development workflows.
Soft Skills & Operational Fit
The candidate demonstrates a continuous learning mindset and problem-solving skills, as stated in the 'About Me' section. Project descriptions indicate an ability to work on full-stack applications and integrate various technologies. The internship experiences suggest exposure to team collaboration and agile workflows, which are positive indicators for operational fit. However, without specific psychometric or English test scores, a deeper assessment of soft skills like logical reasoning, work attitude, stress handling, and communication clarity is not possible.