Node JS Developer with less than a year in Node.js, React.js and database management.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly motivated Computer Engineering student with a strong foundation in full-stack development, including Node.js, Express.js, and React.js. Skilled in programming languages like C, C++, and JavaScript, with practical experience in building RESTful APIs, real-time map-matching platforms, and e-commerce solutions. Eager to contribute to innovative projects and enhance user experiences.
MIT college, Indore (RGPV University)
Computer Engineering · Computer Engineering
August 1, 2021 – June 30, 2025
St. Pius, Khandwa
X (CBSE)
N/A – May 31, 2019
St. Pius, Khandwa
XII (CBSE)
N/A – May 31, 2021
Logical Softech
Backend & Frontend Developer Intern
December 1, 2024 – April 1, 2025
Indore, Madhya Pradesh, India
Railang – Natural Language Translation Engine for Railway Stations
May 28, 2026 – Present
Developed Railang, a natural language translation engine for railway stations that translates announcements and user queries into Indian languages. Extracts key details like station names, train numbers, and timings using NLP and Named Entity Recognition (NER). Built a RESTful backend using Node.js, Express.js, and MySQL to process inputs and serve real-time multilingual responses.
Airbnb Full-Stack Clone
May 28, 2026 – Present
Built a full-stack Airbnb clone using Node.js, Express, MongoDB, and EJS for server-side rendering. Implemented core features like user authentication, property listing, booking system, and admin panel. Designed dynamic pages with EJS templates, handled CRUD operations, and managed user sessions securely.
Navtrace– Real-Time GNSS Map-Matching and Route Visualization Platform
May 28, 2026 – Present
Built a Node.js and Express backend that smooths GNSS coordinates using Kalman filtering and matches them to the nearest road segments from GeoJSON data. Developed a responsive React + Leaflet frontend to display unmatched vs. matched routes with live data cards showing speed, distance, and road type. Optimized spatial computations with PostGIS and achieved sub-500ms response times for real-time usage.
Cultural Fit Analysis
The candidate's project portfolio showcases a broad interest in different technical domains (NLP, GIS, e-commerce), suggesting adaptability and a willingness to tackle diverse challenges. Their skills are highly aligned with the target Node.js Developer role, and their full-stack exposure indicates potential for cross-functional collaboration.
Soft Skills & Operational Fit
The candidate exhibits strong problem-solving skills and initiative, evident from the complexity and optimization efforts in their academic projects. Their internship experience suggests an ability to contribute to real-world applications and work within a development team. The diversity of projects indicates adaptability and a proactive learning approach.