Retrieval-Augmented Generation (RAG), Machine Learning, Python Programming, LLM Optimisation, Generative AI, Speech Technologies, Conversational AI

BigQuery, Sql, Tensorflow, Git, MLops, Gcp, Pytorch, Pandas, Python, scikit-learn, data quality governance, AWS SageMaker, Vertex AI, Statistical Modeling, CI/CD

Sql, Deep Learning, Python, Computer Vision, Transfer Learning, TensorRT, Model Evaluation, Batching, Quantization, Attention Mechanisms, CNNs, GPU Inference, ONNX, Vision Transformers, Mixed Precision

Machine Learning, Sql, Tensorflow, Pytorch, Python, Prompt engineering, Distributed data processing, Feature engineering, Agentic AI systems, Statistical Models, LLM-powered applications, Deep learning frameworks, RAG pipelines, PEFT, DPO alignment, Model fine-tuning techniques, LoRA, CI/CD, QLoRA, RLHF

Sql, Deep Learning, Python, Computer Vision, Transfer Learning, TensorRT, Batching, Quantization, CNNs, GPU Inference, ONNX, Vision Transformers, Mixed Precision

Generative AI

Prometheus, Elk Stack, Grafana, Tensorflow, Pytorch, Docker, XGBoost, Python, Bash, Shell Scripting, Sql, Git, Pandas, Spark, Databricks, Helm, Kubernetes, Azure, Azure Devops, Airflow, ML Model Development, GitHub Actions, Scikit-learn, ML DL frameworks, Experimentation Feature Engineering, Fast API, OnPrem

Amazon Web Services, Data Mining, Tensorflow, Machine Learning Algorithms, Predictive Analytics, Python, Java, Hibernate, Hadoop, Big Data, Clustering, Spring, Ms Azure, DataBricks, Jenkins, Git, Hive, Azure Data Factory, Pytorch, Spark, Keras, Classification, multivariate testing, MLLib, Deep Neural Networks, HDInsight, Map-Reduce, HDFS, Regression, Statistical Modeling

Python, Machine Learning, R, ML algorithms, data science pipeline, data-structures

Natural language processing (NLP, Python, Statistical Analysis, Java, Tensorflow, Opencv, AWS, Pytorch, Azure, Gcp, GPT, BERT, scikit-learn, Data preprocessing, R, CNNs, Feature engineering, YOLO