AI Engineer with less than a year in Machine Learning & 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
I am an engineering student with experience in building and deploying machine learning-based web applications. I have a strong interest in scalable software systems, data-driven problem solving, and end-to-end model development, from data processing to deployment. I aim to apply my technical and analytical skills to build impactful, intelligent digital solutions in a growth-oriented environment.
UIET MDU, Rohtak
Bachelor of Technology · Computer Science and Engineering
November 1, 2022 – June 1, 2026
Vidya Niketan School, Faridabad (CBSE)
10th Standard
March 1, 2021 – May 1, 2022
Vidya Niketan School, Faridabad (CBSE)
12th Standard
March 1, 2019 – May 1, 2020
Rare Neurological Disease Classification
June 21, 2026 – Present
Developed CNN and transfer learning models to classify rare neurological diseases from MRI images. Applied preprocessing, normalization, and data augmentation to improve model generalization. Handled class imbalance and evaluated model performance using accuracy metrics and confusion matrix.
White Blood Cell (WBC) Classification using CNN
June 21, 2026 – Present
Built a CNN model using TensorFlow and Keras for multi-class WBC image classification. Performed image preprocessing and data augmentation for robust model training. Evaluated model using accuracy and validation metrics; deployed on Hugging Face Spaces.
Cat vs Dog Classifier using VGG19
June 21, 2026 – Present
Implemented binary image classification using the VGG19 pretrained model with transfer learning. Fine-tuned the model on a custom cat vs dog dataset with image augmentation and normalization. Deployed the classifier as an interactive web app on Hugging Face Spaces.
Sales/Data Dashboard using Microsoft Power BI
June 21, 2026 – Present
Designed an interactive dashboard with KPIs, charts, and filters for business decision-making. Performed data cleaning and transformation using Power Query. Derived actionable insights from sales data to support stakeholder reporting.
GATE EXAM 2026
Unknown
January 1, 2026 – Present
The candidate scored 88% on the 'Data Scientist — Artificial Intelligence' test, indicating a strong grasp of core AI/ML concepts and practical application in image classification tasks.
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest in AI/ML applications, aligning well with an AI Engineer role. The diversity of projects, from medical image classification to general object recognition and data dashboards, shows a broad technical curiosity. The candidate's stated interest in 'scalable software systems, data-driven problem solving, and end-to-end model development' further reinforces a good cultural fit for a growth-oriented, technically driven team.
Soft Skills & Operational Fit
The psychometric test score of 344/500 suggests a moderate fit in areas like logical reasoning, work attitude, stress handling, and team collaboration. While not exceptionally high, it indicates a baseline suitability for a professional environment. The candidate's project descriptions highlight an ability to work independently on complex tasks, from data processing to model deployment.
Strengths
Limitations