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AI Engineer with less than a year in MERN Stack Development & Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented Data Science undergraduate skilled in MERN stack development, backend API design, and machine learning. Strong problem-solving abilities with a focus on creating efficient, scalable, and user-centered applications
Vignan's Lara Institute of Technology and Science
B.Tech · Computer Science and Engineering (Data Science)
August 1, 2022 – June 30, 2026
OrderOnTheGo (Food Ordering Web App)
Developer
June 1, 2025 – August 31, 2025
India
GazeGuard Intelligent Attention Tracking System
June 1, 2026 – Present
Developed a computer vision system to monitor user focus using eye movement and facial landmarks. Displayed real-time attention analytics through an interactive dashboard.
Decoding Sentiments from Mixed Audio Inputs
June 1, 2026 – Present
Built an emotion classification model for overlapping audio signals using signal processing techniques. Improved model accuracy through optimized preprocessing and ML pipelines.
E-commerce Web Application (Customer Side)
June 1, 2026 – Present
Implemented authentication, product catalog, cart, checkout, and order history features. Enhanced backend performance with optimized APIs and structured error handling.
Data Science
Infosys
June 1, 2026 – Present
Cyber Security
Cisco
June 1, 2026 – Present
Joy of Computing with Python
NPTEL
June 1, 2026 – Present
Machine Learning
NPTEL
June 1, 2026 – Present
Full Stack Web Development
Udemy
June 1, 2026 – Present
MERN Full Stack Development
SmartBridge
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, spanning computer vision, natural language processing (audio sentiment), and full-stack web development, suggests adaptability and a broad interest in technology. While the primary focus is on AI/ML, the MERN stack experience indicates a willingness to explore different domains. The academic nature of most projects and the internship in web development show a foundational, rather than deeply specialized, approach. This breadth could be a good fit for teams that value versatile contributors, but the depth in specific AI sub-fields needs further validation.
Soft Skills & Operational Fit
The candidate lists 'Analytical Thinking', 'Problem Solving', 'Communication', and 'Teamwork' as soft skills. Project descriptions suggest an ability to work on defined tasks and contribute to project goals. The academic background and certifications indicate a proactive learning attitude, which is beneficial for operational fit in a dynamic AI engineering environment.