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Software Development Engineer with less than a year in Full-Stack and AI-driven Web Development.
Aspiring Software Development Engineer (SDE) and Robotics & AI undergraduate with a strong foundation in Data Structures & Algorithms. Proficient in Java, JavaScript, Node.js, and RESTful APIs, with hands-on experience in building scalable web applications. Skilled in debugging, writing clean and maintainable code, and collaborating in team-driven environments. Familiar with software testing, API testing, databases (MongoDB, SQL), and agile development. Passionate about delivering efficient and reliable solutions while continuously learning new technologies.
Chandigarh Group of Colleges, Jhanjeri
Bachelor of Technology · CSE (Robotics & AI)
August 1, 2023 – June 30, 2027
Satluj Public School
Senior Secondary Education · Non-Medical
N/A – May 31, 2023
Satluj Public School
Secondary School Education
N/A – May 31, 2021
DEVTOWN
Frontend Developer Intern
June 1, 2025 – July 1, 2025
India
Techlive Solutions
Full Stack Development Trainee
January 1, 2025 – May 1, 2025
India
InterviewBot - AI-Powered Mock Interview Platform
June 1, 2026 – Present
Developed a full-stack web application using React, Node.js, and Express to simulate real interview scenarios with AI-driven question generation and response evaluation. Integrated OpenAI APIs, speech-to-text, and performance feedback features to enhance user experience. Implemented RESTful APIs and ensured smooth functionality through testing and debugging, improving interactive interview preparation.
View ProjectRESTful Backend API using Node.js, Express & MongoDB
June 1, 2026 – Present
Developed a RESTful backend API using Node.js, Express.js, and MongoDB to perform CRUD operations and manage structured data efficiently. Implemented routing, middleware, and modular architecture for scalable request handling and validation. Conducted API testing using Postman/Thunder Client and ensured reliability through error handling, debugging, and API validation.
View ProjectRapidServe AI – Smart Complaint Prioritization System
June 1, 2026 – Present
Developed a machine learning-based complaint management system using FastAPI and React to predict issue urgency and streamline workflows. Implemented RESTful APIs, JWT-based authentication, and role-based access for secure data handling and admin tracking. Performed functional testing, validated application workflows, and ensured reliable system performance through debugging and optimization.
View ProjectAWS Academy Graduate – Generative AI Foundations
AWS Academy
January 1, 2026 – Present
Ericsson Edge Academia 2.0
Ericsson
January 1, 2025 – Present
CompTIA Network+ Training
CompTIA
January 1, 2025 – Present
Full Stack Web Development
Devtown
January 1, 2025 – Present
Front-End Software Engineering Job Simulation
Skyscanner
January 1, 2025 – Present
IT Fundamentals
IBM
January 1, 2024 – Present
The candidate scored 81% on the MERN: Intern test, indicating a strong understanding and practical knowledge of the MERN stack components, including NoSQL, JavaScript, React, Node.js, and MongoDB.
Strengths
Cultural Fit Analysis
The candidate's diverse project portfolio, including AI-powered systems and full-stack applications, shows a broad interest in technology and a proactive approach to learning. Their involvement in competitive programming and hackathons, coupled with certifications in various domains (AWS Generative AI, CompTIA Network+, Ericsson Edge Academia), suggests a strong drive for continuous learning and innovation. This aligns well with a culture that values growth, collaboration, and technical excellence.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving, teamwork, leadership, communication, adaptability, and time management skills. Their active participation in coding challenges and hackathons, along with experience in collaborative development environments, indicates a good operational fit for team-driven SDE roles. The psychometric test score of 447/500 further supports strong logical reasoning, work attitude, and stress handling capabilities.
Limitations