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Salman KadiwalSK
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Salman Kadiwal

@salmankadiwal

Machine Learning Engineer at Wow Infobiz who built face recognition and liveness detection for an AI-powered attendance system.

India
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What I'm looking for

I’m seeking an entry-level AI/ML role where I can apply my technical knowledge, strengthen my practical expertise, and contribute to building reliable, real-world AI solutions.

At Wow Infobiz Pvt. Ltd., I built and evaluated machine learning models for classification and prediction tasks, including data preprocessing and feature engineering. I compared models using metrics such as accuracy, precision, recall, F1-score, R², MAE, and RMSE.

I built a Smart Attendance System using face recognition and CNN-based liveness detection. It uses real-time face verification with blink and head-movement checks, and includes a Django REST Framework backend integrated with React and PostgreSQL.

For my Car Price Prediction System, I prepared vehicle data, compared regression models, and evaluated their performance. I also applied feature selection and hyperparameter tuning.

I developed an AI Route Prediction System with FastAPI and Scikit-learn for route recommendations, model retraining, and health monitoring. I’m seeking an entry-level AI/ML role where I can apply my technical knowledge, strengthen my practical expertise, and contribute to reliable, real-world AI solutions.

Experience

Work history, roles, and key accomplishments

WL

Machine Learning Intern

Wow Infobiz Pvt. Ltd.

Sep 2025 - Mar 2026 (6 months)

Built and evaluated machine learning models using Python and Scikit-learn for classification and prediction tasks, including data preprocessing and feature engineering. Implemented Logistic Regression, Linear Regression, and Decision Tree models and evaluated performance using accuracy, precision, recall, F1-score, R2, MAE, and RMSE.

Education

Degrees, certifications, and relevant coursework

TE

Theem College of Engineering

Bachelor of Engineering, Computer Science & Engineering (AI & ML)

2022 -

Grade: 7.7 CGPA

Activities and societies: Relevant Courses: Data Science, Machine Learning

Pursuing a Bachelor of Engineering in Computer Science & Engineering with a focus on AI & ML, achieving a CGPA of 7.7.

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