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AI Engineer with less than a year in MERN stack, Next.js, and Machine Learning applications.
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Highly motivated Computer Science student specializing in AI & ML with a strong academic record (GPA: 8.0). Proven ability to develop full-stack applications and AI-powered systems, including a real-time proctoring solution, collaborative design tool, and chat application. Proficient in MERN stack, Next.js, Python, Docker, and GCP. Eager to apply problem-solving skills and technical expertise to innovative challenges.
Nawab Shah Alam Khan College of Engineering & Technology (O.U)
B.E. · Computer Science
August 1, 2021 – June 30, 2025
ExamGuardAI: AI-powered Proctoring System
June 1, 2026 – Present
Built an end-to-end AI proctoring system powered by MediaPipe FaceMesh that runs entirely in the browser, detecting cheating behavior in real time with zero data uploads. Designed a unified interface where users can create or join exams, complete with a live dashboard tracking active participants and completed exam sessions. Achieved smooth 45+ FPS performance for real-time gaze and head pose detection, fine-tuned with custom pitch-yaw calibration for higher accuracy in off-screen glance detection on everyday machines. Implemented a robust, tamper-resistant exam environment that blocks browser shortcuts, DevTools, right-clicks, and navigation keys to prevent cheating.
View ProjectWrapboard - Collaborative Design Tool
June 1, 2026 – Present
Built a multi-user collaborative design tool using Next.js and TypeScript, integrating Liveblocks to handle real-time editing, user presence, and synchronized live cursors between participants. Utilized Fabric.js to engineer the interactive canvas layer, enabling complex element creation (e.g., free-form drawings, shapes) and full property customization (color, size, border thickness) for all assets. Implemented collaborative interaction tools, including real-time reactions, cursor chat, and in-canvas commenting system, complemented by a persistent, stateful undo/redo functionality.
View ProjectConvoFi
June 1, 2026 – Present
Built a full-stack, real-time chat application that enables instant one-on-one messaging and live online/offline users tracking using Socket.IO. Accelerated media delivery and processing by integrating Cloudinary, resulting in ≈ 50% faster image load times for users and significantly reduced backend storage load. Secured all API endpoints and user profile management by implementing JSON Web Tokens (JWT) for robust, stateless authentication and authorization.
View ProjectRanked Silver League on Google Skills
June 1, 2026 – Present
Solved 150+ algorithm and data structure problems on LeetCode
LeetCode
June 1, 2026 – Present
Google Cloud Essentials
Google Cloud Skills Boost
June 1, 2025 – Present
Docker Essentials: A Developer Introduction
IBM
May 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest in innovative and challenging technical areas, particularly AI and collaborative tools. The 'ExamGuardAI' project aligns well with an AI Engineer role, showcasing practical application of AI concepts. The breadth of technologies used (MERN, Next.js, TypeScript, MediaPipe, Socket.IO, Liveblocks) indicates adaptability and a willingness to learn new tools. The certifications and LeetCode activity suggest a self-driven individual committed to continuous improvement, which is a positive cultural indicator. However, the lack of professional experience means exposure to diverse team dynamics and corporate culture is limited.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a strong ability to work on complex, multi-faceted projects independently or as part of a team (implied by collaborative tools). The focus on real-time performance and robust implementations suggests attention to detail and a results-oriented approach. The academic nature of projects and lack of professional experience means operational fit in a corporate environment is yet to be proven.