Sahil Nagarji

Passionate AI/ML Engineer with a strong foundation in Artificial Intelligence, Machine Learning, Data Processing, and Cloud Technologies. Proficient in Python, PyTorch, TensorFlow, and AWS services, with hands-on experience in building and deploying ML models. Skilled in data processing & visualization, deep learning, model evaluation, and cloud-based deployment.

Completed multiple AI projects, including regression, classification, CNN models using structured and image data, customer churn prediction, and recommendation systems. Strong knowledge of data visualization tools and libraries such as Matplotlib, Seaborn, and AWS Data Wrangler. Experienced with data handling languages like SQL and PostgreSQL, and frameworks such as NumPy, Pandas, and Scikit-Learn.

Holding a B.E. in Electronics & Telecommunication with top academic rankings.

Actively seeking entry-level opportunities across the Gulf region, and eager to contribute to AI-driven solutions in a collaborative environment. Available to join immediately and open to relocation across the Gulf as needed.

Completed multiple AI/ML projects demonstrating practical application of machine learning, deep learning, and data analysis techniques. Developed regression models using PyTorch for predicting continuous variables, and built classification systems including customer churn prediction and multi-class image classifiers using TensorFlow/Keras. Designed and trained convolutional neural networks (CNNs) on structured and image data, including MNIST digit recognition. Created recommendation systems and implemented supervised learning workflows with data preprocessing, feature scaling, model tuning, and cross-validation. Proficient in handling large datasets with tools like SQL, PostgreSQL, Pandas, and NumPy. Skilled in visualizing data using Matplotlib, Seaborn, and AWS Data Wrangler. Deployed models and managed services using AWS SageMaker, Lambda, and CloudWatch.

Bachelor of Engineering in Electronics & Telecommunication from the University of Mumbai (2024), with a strong academic performance (CGPA: 8.92/10) and second rank during the final academic years. Prior to this, completed a Diploma in Electronics & Telecommunication from Maharashtra State Board of Technical Education (2021) with distinction (97.35%, first rank). Coursework and projects were heavily focused on machine learning, data science, and AI technologies, supported by certifications from top institutions including Harvard, University of Michigan, and Imperial College London.