Junior AI Engineer with Fullstack Development Skills
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Full-stack development enthusiast and Computer Science Engineering undergraduate specializing in AI/ML, with hands-on project experience building MERN stack applications. Proficient in React.js, Node.js, Express.js, and MongoDB, with strong fundamentals in JavaScript, HTML/CSS, and RESTful API development. Passionate about writing clean, maintainable code and delivering high-quality web applications.
Alliance College of Engineering and Design
Computer Science and Engineering · Computer Science and Engineering
August 1, 2022 – June 30, 2026
Sri Basaveshwara PU College
PCMB · Science
June 1, 2020 – May 31, 2022
Acmegrade
AI/ML Virtual Intern
March 1, 2024 – June 30, 2024
Bengaluru, Karnataka, India
Hotel Booking Web Application (MERN)
January 1, 2026 – May 1, 2026
Developed a scalable full-stack hotel booking platform enabling users to search, book, and manage reservations. Built responsive and dynamic UI using React.js with reusable components and client-side routing. Designed RESTful APIs using Node.js and Express.js to handle users, hotels, rooms, and bookings. Implemented secure authentication and session management using Clerk with webhook integration. Integrated Stripe payment gateway for real-time booking transactions and secure payment processing. Used MongoDB with Mongoose for efficient schema design and optimized database queries. Implemented image upload and management using Cloudinary for hotel listings. Configured email notifications using Nodemailer for booking confirmations and updates. Deployed application using Vercel with environment-based configuration for production readiness.
View ProjectReal-Time Sign Language Detection
December 1, 2025 – December 31, 2025
Developed a real-time sign language recognition system using pose estimation and Vision Transformer (ViT) to classify hand gestures. Used MediaPipe/OpenCV to extract keypoints from hand and body landmarks for accurate gesture representation. Enabled real-time webcam-based prediction, improving accessibility for hearing and speech-impaired individuals.
Underwater Trash Detection
January 1, 2024 – January 31, 2024
Built a YOLOv6-based object detection model to identify underwater trash in images and video streams in real time. Created annotated datasets and integrated real-time visualization to support marine pollution monitoring.
Oracle Certified - Generative AI Professional
Oracle
May 1, 2026 – Present
Reinforcement Learning in Finance
Coursera
May 1, 2026 – Present
Data Security and Privacy
Coursera
May 1, 2026 – Present
Cultural Fit Analysis
The candidate exhibits a strong passion and clear career trajectory towards AI engineering, as evidenced by their academic projects, virtual internship, and certifications, all heavily focused on AI/ML. Their diverse project portfolio, including both AI/ML and full-stack development, indicates adaptability and a broad technical interest. This aligns well with a culture that values continuous learning and practical application of advanced technologies.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving abilities through developing complex AI/ML and full-stack applications. Their experience in data collection, feature engineering, and iterative model tuning highlights an analytical and detail-oriented approach. The successful deployment of applications (e.g., Vercel) and participation in hackathons suggest a results-driven mindset and ability to deliver end-to-end solutions.