Full Stack Engineer with less than a year in AI/ML and web applications.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated Computer Science graduate passionate about full-stack development and AI/ML, with hands-on project experience in building scalable web applications and keen interest in open-source tools and technologies.
Visvesvaraya technological university
Bachelor of Engineering · Computer Science
N/A – June 30, 2024
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Age and Gender Detection using AI/ML
January 1, 2024 – December 31, 2024
Built a CNN model using Python and UTKFace dataset to predict age and gender from facial images with OpenCV support for real-time webcam detection.
Online Shopping Web Application
January 1, 2024 – December 31, 2024
Developed a full-stack shopping platform with features like product listing, user authentication, cart system, and secure payment handling. Tech Stack: HTML, CSS, JavaScript, Bootstrap, jQuery, Node.js, Express.js, MongoDB. Features: JWT-based login, Razorpay for Indian payments, QR-based UPI scanner, AJAX-enabled cart updates.
Cultural Fit Analysis
The candidate's academic projects demonstrate a breadth of interest across full-stack web development and AI/ML, which aligns with a dynamic and innovative work environment. The internships, though short-term and training-focused, show an initiative to gain practical skills. The target role of 'Full Stack Engineer' aligns well with the primary project experience. However, the lack of diverse professional experience beyond academic projects and training internships limits the assessment of adaptability to different team cultures or corporate environments.
Soft Skills & Operational Fit
The candidate's resume indicates a 'Motivated Computer Science graduate' with a 'keen interest in open-source tools and technologies', suggesting a proactive learning attitude. The project descriptions are clear, indicating an ability to articulate technical work. However, without direct interaction or psychometric test results, a comprehensive assessment of soft skills like teamwork, problem-solving under pressure, or communication clarity in real-time scenarios is limited.