About
B.E. student in Information Science and Engineering with hands-on experience in full-stack web development through internship training and academic projects. Interested in building scalable web applications using JavaScript, React, Node.js, and AI-powered tools.
Experience
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Full-Stack Developer InternTechnotut SolutionsJan 2024 – Mar 2024
Education
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Bachelor of Engineering in Information Science and EngineeringThe National Institute of EngineeringInformation Science and Engineering · Sep 2024 – Jun 2027
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Diploma in Computer Science and EngineeringJSS Polytechnic for WomenComputer Science and Engineering · 2021 – 2024
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CBSE Secondary School Examination (SSLC)Amrita Vidyalayam2021
Skills
- SQL <3 months
- CSS <3 months
- Express.js <3 months
- HTML <3 months
- Python <3 months
- Prompt Engineering <3 months
- Java <3 months
- JavaScript <3 months
- Node.js <3 months
- Tailwind CSS <3 months
- Django <3 months
- React <3 months
- LLM evaluation <3 months
- Django Rest Framework <3 months
- API Integration Understanding <3 months
- Natural Language Processing <3 months
- OCR <3 months
- Oop <3 months
- Advanced DBMS <3 months
Tools / apps / platforms
- Git <3 months
- GitHub <3 months
- MongoDB <3 months
- MySQL <3 months
- Postman <3 months
Projects
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React, Node.js, REST APIs, AI/LLM, Geolocation
Developing an AI-powered emergency assistance system designed to provide context-aware, step-by-step guidance during time-critical emergency situations. Integrating AI conversational assistance, geolocation, emergency contacts, and nearby healthcare services to help users quickly access relevant emergency resources. Designing a safety-focused system with voice/text interaction and fallback mechanisms to improve accessibility and reliability during emergency scenarios.
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HTML, CSS, JavaScript, jQuery
Developed a multi-page academic resource platform providing department-wise information, student resources, alumni information, NCC/NSS content, and an e-magazine. Designed responsive department, contact, login/sign-up, navigation, and resource pages using HTML and CSS, with JavaScript/jQuery for interactive functionality. Integrated client-side JavaScript with a visitor-count API and organized resources across multiple academic departments for streamlined student access.
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React, Tailwind CSS, Node.js, Express.js, MongoDB, NLP, OCR, LLM APIs
Developed a full-stack AI application that parses resumes from PDF, Word, and image formats, evaluates ATS compatibility, and generates job-match scores against job descriptions. Implemented resume parsing, OCR, candidate analysis, recruiter resume ranking, and session-based authentication using Node.js, Express.js, MongoDB, Tesseract.js, and document-processing libraries. Integrated Groq/OpenAI APIs to generate tailored interview questions based on candidate resumes and job requirements, supporting separate candidate and recruiter workflows.