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Full Stack Engineer with less than a year in MERN stack, Python, and Machine Learning.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated Full Stack AI Developer aiming to apply full-stack and AI technologies to build practical, impactful, and scalable solutions for real-world challenges.
Kongu Engineering College
B.Tech · Artificial Intelligence Data Science
August 1, 2022 – June 30, 2026
Little Angel Matric hr sec school
Higher Secondary Certificate (HSC)
N/A – May 31, 2021
Sowdaambikaa Matric Hr Sec school
Secondary School Certificate (SSLC)
N/A – May 31, 2019
Pneumonia Prediction
June 28, 2026 – Present
Developed a deep-learning model to predict pneumonia from chest X-ray images. Technologies: Python, TensorFlow, Kaggle.
Predicting Mental Health Crisis
June 28, 2026 – Present
Designed a PowerBI-based dashboard for analyzing mental health crisis indicators. Technologies: PowerBI, GitHub.
E-Commerce Platform for Dress Ordering
June 28, 2026 – Present
Built a digital clothing order system with admin panel, order history, and real-time updates.
MongoDB Associate Developer (Node.js)
MongoDB University
March 1, 2025 – Present
Responsible and Safe AI Systems
NPTEL
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic background in Artificial Intelligence Data Science, coupled with projects in both AI/ML and web development, indicates a broad technical interest. The objective statement explicitly mentions applying full-stack and AI technologies, which aligns with a 'Full Stack Engineer' role that might involve AI components. The diversity of projects (deep learning, data dashboard, e-commerce) suggests adaptability and a willingness to explore different domains. However, the lack of professional experience or team-based projects makes it difficult to fully assess cultural fit in a collaborative work environment.
Soft Skills & Operational Fit
The candidate's academic projects and certifications suggest a proactive learning attitude and an interest in applying technical skills to real-world problems. However, without completed psychometric or English tests, it is difficult to assess specific soft skills like communication clarity, logical reasoning, stress handling, or team collaboration. The academic nature of all projects means real-world operational fit and experience with professional development workflows are unproven.