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AI Engineer with 2+ years in MERN Stack & AI Operations, skilled in building scalable web applicatio
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Assessing your cultural and operational fit
Motivated and detail-oriented developer with experience in Full Stack Development (MERN Stack) and AI Operations (GO-AI). Skilled in building scalable web applications and improving AI-generated outputs using prompt engineering and data evaluation. Strong problem-solving abilities with a focus on delivering high-quality solutions. Proven ability to work on Generative AI systems, review and validate AI responses, perform data annotation, and collaborate with teams to optimize AI workflows and outputs. Possesses strong foundational skills in front-end, back-end, and database technologies, complemented by expertise in AI-specific tools and methodologies.
Internshala
Full Stack Development
August 1, 2025 – February 1, 2026
Indira Gandhi international University
BSc · Life Sciences
January 1, 2019 – January 1, 2022
Sarvodaya Kanya Vidyalaya
Senior Secondary
August 1, 2016 – June 1, 2019
Modern Public school
High School
April 1, 2014 – June 1, 2016
Amazon
AI Operations Associate (Go-AI)
January 1, 2024 – Present
India
Weather Application
June 27, 2026 – Present
Developed a weather application using external APIs to fetch real-time weather data. Displayed temperature, humidity, and weather conditions dynamically. Implemented API integration and handled asynchronous data using JavaScript. Designed a responsive user interface for better user experience.
YouTube Clone (Full Stack Capstone Project)
June 27, 2026 – Present
Developed a full-stack video streaming platform using the MERN stack (MongoDB, Express.js, React.js, Node.js). Implemented user authentication and authorization for secure login and access control. Designed and integrated RESTful APIs for video data, user management, and interactions. Built dynamic frontend components with React.js for video listing, search, and playback UI. Managed backend server and database operations for storing user data and video information. Ensured responsive and user-friendly interface across different devices. Applied best practices for code structure, performance optimization, and scalability. Video upload functionality. Like, comment, or subscribe features. Search/filter functionality. JWT authentication. API error handling.
ShoppyGlobe E-commerce Application (MERN Stack)
June 27, 2026 – Present
Developed a full-stack e-commerce application using MongoDB, Express.js, React.js, and Node.js. Implemented product listing, user authentication, and cart functionality. Designed RESTful APIs for efficient data handling. Ensured responsive and user-friendly interface.
Cultural Fit Analysis
The candidate's background includes academic projects in full-stack development and a current role in AI operations. While the projects demonstrate initiative and practical application of web technologies, the academic background in Life Sciences and the 'Full Stack Development' certification starting in the future suggest a career transition. The current role at Amazon in AI operations aligns with the target role, but the depth of experience in core AI engineering (e.g., model development, algorithm design) is not explicitly demonstrated. The candidate shows an interest in exploring Generative AI and new technologies, which is a positive indicator for cultural fit within an innovative AI team.
Soft Skills & Operational Fit
The candidate's experience at Amazon as an AI Operations Associate suggests an ability to work within structured environments, follow guidelines, and collaborate with team members. The project descriptions indicate a detail-oriented approach to development and a focus on user experience. The stated interest in continuous learning aligns with the dynamic nature of AI roles.