Harmeet Singh

Built personalized recommendation systems and real-time video surveillance models using TensorFlow and PyTorch. Deployed scalable ML solutions on Google Cloud and AWS SageMaker, automating training pipelines and designing real-time APIs. Implemented distributed model training, processed large datasets, and applied techniques like XAI, adversarial training, and NLP methods using various libraries a

Built product recommendation engines and real-time sales forecasting models using TensorFlow and Prophet, increasing conversions and predicting demand. Designed churn prediction and automated inventory models, improving retention and reducing overstock. Applied OpenCV for video analytics, integrated graph-based fraud detection, and conducted time series analysis. Developed customer segmentation an

Developed scalable backend services and RESTful APIs using Django and Flask for AI model deployment and data integration. Containerized ML applications with Docker and built NLP models using SpaCy and NLTK for document classification and NER. Designed cash flow prediction and contract risk models using Prophet and XGBoost, and applied biometric authentication with FaceNet and OpenCV.

Studied core principles of computer science, including programming, data structures, and algorithms. Gained foundational knowledge in software development and system design.