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Fullstack Engineer with less than a year in Node.js, React.js & AI/ML
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Assessing your cultural and operational fit
Recent B.Tech graduate with practical experience as a Software Developer Intern and a strong portfolio of full-stack projects. Demonstrated proficiency in developing scalable RESTful APIs with Node.js, crafting dynamic user interfaces with React.js and Next.js, and implementing AI-driven solutions using Gemini API and RAG. Actively involved in competitive programming and consistently delivering well-documented, optimized code for robust applications.
Indian Institute of Information Technology (IIIT), Bhagalpur
B.Tech · Computer Science and Engineering
August 1, 2022 – June 30, 2026
Mithila Stack
Software Developer Intern
December 1, 2025 – May 31, 2026
India
SymptoSense AI
June 1, 2025 – June 1, 2026
Built a full-stack Next.js application with server-side API routes to analyze user-reported symptoms and generate structured, safety-focused medical insights using the Gemini API. Designed a Retrieval-Augmented Generation (RAG) pipeline with vector embeddings stored in MongoDB, reducing hallucination by 40% and achieving sub-100ms retrieval latency via asynchronous API design. Engineered robust Node.js backend services with error handling, input sanitization, and rate-limiting to ensure safe and reliable AI-generated medical responses.
View ProjectDocuScript – E-Prescription SaaS
January 1, 2025 – June 1, 2026
Architected a production-grade clinical workflow SaaS using the MERN stack with a RESTful API, enabling doctors to create, manage, and deliver digital prescriptions end-to-end. Implemented secure authentication using JWT and Google OAuth 2.0 with role-based access control to enforce strict data access boundaries between doctors and patients. Integrated jsPDF for dynamic prescription generation and Nodemailer for automated email delivery, eliminating manual clinical workflows. Designed a normalized MongoDB schema with Mongoose and server-side request validation to ensure data integrity across doctor-patient-prescription relationships.
View ProjectCineVelo – Movie Discovery Platform
August 1, 2024 – December 1, 2025
Built a movie discovery platform integrating the TMDB API for real-time data including trending, popular, and search-based movie results. Implemented Firebase Authentication for secure user sessions with persistent login state and protected routes. Optimized UI performance using Vite and a responsive Tailwind CSS design system for fast load times and smooth navigation.
View ProjectCultural Fit Analysis
The candidate's diverse personal projects, including a GenAI health application, an e-prescription SaaS, and a movie discovery platform, demonstrate initiative, curiosity, and a broad interest in applying technology to different domains. This diversity, coupled with an internship experience, suggests adaptability and a proactive learning mindset, which are positive indicators for cultural fit in a dynamic environment. The target role of 'Fullstack Engineer' aligns well with the candidate's demonstrated project experience and technical skills.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex, end-to-end solutions, suggesting strong problem-solving and project management skills. The internship experience highlights collaboration and debugging, which are crucial for operational fit. The focus on secure and reliable systems in projects like 'SymptoSense AI' and 'DocuScript' suggests a detail-oriented and responsible approach to development.