Unix, Orchestration, Hadoop, Pyspark, Docker, Oozie, Python, Evaluation, Airflow, K8S, Feature Store, ML lifecycle tools, Spark-ml, MLflow, Big Data modeling, ML Models Lifecycle Frameworks, Distributed processing, Dagster, Lake Warehouse architectures, model monitoring

Spark, Sql, Java, Tensorflow, Kafka, AWS, Pytorch, Kubernetes, Python, Azure, Gcp, Docker, Terraform, Scala, Kubeflow, MLflow, Bicep, scikit-learn, Flink, SageMaker, ML pipelines, NoSQL databases

Pytorch, MLops, Python, GPU optimization

data engineering , Sql, Python, Hadoop, Pyspark, Spark, Big Data processing frameworks

Java, Django, Algorithms, AWS, Redis, FastAPI, Python, Gcp, Data Structures, Flask, MongoDB, Go, Gemini, Hugging Face, LLM-based systems, SQL databases, AI-assisted coding tools, OpenAI API, Object-Oriented Programming

Java, Graphql, Oauth2, Prometheus, Jwt, Node.js, API design, Grafana, Datadog, REST, System Design, Kubernetes, OpenID Connect, Go, event-driven architectures, microservices architecture, cloud-native application development

Docker, Kubernetes, Python, Terraform, GitHub Actions, Statistical Modeling, probability theory

data engineering , Azure, Computer Vision, Distributed Systems, AI ML, Automated Testing, MLops, AWS, Gcp, Apis, Mobile Apps, LLMs, GenAI, Cloud-based deployment, Web front-end

data engineering , Pytorch, Tensorflow, Python, Pandas, MLops, Spark, Generative AI, ML lifecycle, model deployment, predictive machine learning