Pytorch, Docker, Ffmpeg, Opencv, FastAPI, Python, GPU inference, Failure Analysis, model training, evaluation protocols

Machine Learning, Artificial Intelligence, Python, Sql, Pytorch, Generative AI

probability , Logistic Regression, Data Structures, Data Cleansing, Sql, Random Forest, Numpy, Algorithms, Pandas, XGBoost, Linear Regression, Machine Learning Algorithms, Python, Train-test strategies, Transformation, Feature Engineering, Scikit-learn, Statistics, Gradient Boosting, Hyperparameter Tuning, Cross-validation, Model Validation Techniques, Tree-based models

Tensorflow, Spark, Kafka, Machine Learning, MLops, Deep Learning, Pytorch, Kubernetes, Python, XGBoost, Docker, Nlp, scikit-learn, ONNX, Airflow, MLflow, AI model optimization, anomaly detection, time series forecasting, Cv, Recommendation systems, TensorFlow Serving

Tensorflow, Performance Tuning, Opencv, Rest Apis, Deep Learning, Ocr, Pytorch, Machine Learning Algorithms, Google Cloud, AWS, Python, Azure, Docker, Generative AI, LLMs, feature engineering, data preprocessing, Tracking, parallelization, multimodal models, RAG, YOLO, Segmentation, ML Ops, GPU optimization, TensorRT, ONNX, distributed low-latency data pipelines, RTSP streaming video pipelines, Classification, detection, multi-object detection

Pyspark, Kubernetes, Docker, Python Programming, ML algorithms and statistics, Deploying ML models into production, AWS or GCP cloud