Fullstack Engineer with less than a year in AI-powered web development and cloud technologies.
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Full Stack AI Intern with 11 months of experience in developing responsive full-stack applications using Next.js, React, and Python. Proven ability to deliver end-to-end features for web platforms and build AI-powered solutions, including Retrieval-Augmented Generation (RAG) pipelines and interactive knowledge graphs. Skilled in modern web technologies, cloud services (AWS), and various databases (PostgreSQL, MongoDB, Qdrant, Neo4j).
MVSR Engineering College
Bachelor of Engineering · Computer Science and Engineering
August 1, 2022 – June 30, 2026
Antz.ai
Full Stack AI Intern
June 1, 2025 – September 1, 2025
India
DigiQuanta
Full Stack AI Intern
October 1, 2024 – April 1, 2025
India
Documind
June 25, 2026 – Present
Built a full-stack Next.js and TypeScript AI-powered document intelligence platform with semantic search (Qdrant), AI Q&A (OpenAI + LangChain), and an interactive knowledge graph (Neo4j + Cytoscape.js). Developed scalable REST APIs with MongoDB and AWS S3, supporting multi-format document processing, real-time updates, smart entity extraction, and user-scoped privacy.
View ProjectFinGenie
June 25, 2026 – Present
Built FinGenie, an AI-powered personal finance assistant using Next.js, React, and TypeScript, featuring a responsive, dark-mode-enabled UI with Tailwind CSS and interactive data visualizations via Recharts. Developed a conversational frontend that dynamically renders charts, transaction lists, and insight cards using generative UI powered by Tambo AI. Integrated Supabase for authentication and PostgreSQL storage with Row Level Security, and implemented AI tools for real-time expense and budget management—delivering a production-ready full-stack application with natural language expense tracking, budget monitoring, and spending trend analysis.
View ProjectCultural Fit Analysis
The candidate's diverse project portfolio, including AI-powered platforms and finance assistants, showcases a broad interest in technology and problem-solving. Their involvement in hackathons and open-source contributions (GitHub stars/contributions) suggests a collaborative and learning-oriented mindset, which generally aligns well with innovative tech cultures. The experience as a Full Stack AI Intern indicates a willingness to adapt and contribute across different parts of a system.
Soft Skills & Operational Fit
The candidate demonstrates strong initiative through personal projects and hackathon achievements. Their experience in improving UI consistency, refactoring code, and ensuring mobile responsiveness indicates attention to detail and user-centric development. The focus on AI systems and full-stack development aligns well with modern operational needs.