Apis, Sql, Deep Learning, Nlp, MLops, Spark, Databricks, Kubernetes, Python, GenAI, Event-Driven Services, LLMOps, RAG, Experimental Design

BigQuery, Machine Learning, Google Cloud Platform, Cloud Storage, MLops, Python, Cloud Functions, GitHub Actions, Cloud Run, Model Monitoring, Vertex AI, Observability

Mvs, Tensorflow, Numpy, Git, Pytorch, Opencv, Python, SLAM, pipeline optimization, object detection models, COLMAP, large-scale data processing, segmentation techniques, 3D vision techniques, SfM

Google Cloud Platform, Tensorflow, Nltk, Pytorch, MLops, Pandas, Azure, Python, AWS, Gensim, Scikit-learn, MLflow, Retrieval-Augmented Generation, Large Language Models

Pytorch, Python, Deep Learning, Attention mechanisms, Transformer architectures, Fine-tuning and adapting LLMs, Evaluation in production, Retrieval-augmented generation, MLOps tooling, Prompt engineering, Distributed multi-GPU training

object detection , Mvs, Tensorflow, Numpy, Pytorch, Opencv, Python, SLAM, COLMAP, Segmentation, 3D vision techniques, SfM

MLops, Databricks, Python, Pandas, XGBoost, Spark, LIME, LightGBM, MLflow, scikit-learn, SHAP

Java, Python, Scala, Deployment practices, ML lifecycle