Java, Graphql, Scala, Kafka, TigerGraph, MLops, Docker, Neo4j, Spark, Python, Kubernetes, AWS, Airflow, pgvector, Qdrant, Go, MLflow, Flink, Neptune, Kubeflow, Milvus

Tensorflow, Pytorch, Python, scikit-learn

Git, Docker, Machine Learning Algorithms, Python, Sql, Feature engineering, Model evaluation

vectorization , Apis, Microservices, Python, LLM optimization, Knowledge Artifacts, Prompt engineering, AI Governance, Multi-LLM Strategy, Observability frameworks, semantic search, GenAI Development Integration, Data Lakehouse, Agent-based orchestration, Taxonomy Governance, Document parsing, Model gateways, Cost Optimization

Pytorch, Python, Data annotation or labeling systems, Evaluation design and quality measurement

Tensorflow, MLops, Gcp, Pytorch, Docker, Data Analytics, Azure, Kubernetes, Python, AWS, MLflow, Scikit-Learn, Kubeflow, Statistical Modeling

Predictive Modeling, Machine Learning, Pyspark, Python, Sql, Causal Measurement, scikit-learn, Statistical Methods, Marketplace Optimization

.NET, Java, Phoenix, Tensorflow, MLops, Pytorch, Keras, Python, LangChain, LLMOps, AgentOps, generative models, reinforcement learning, LangGraph, AI methodologies, MLFlow, Google Agent Development Kit

regression models , Sql, Deep Learning, Spark, Data Analytics, Python, boosted models, Airflow, classification models, Generative AI, LLMs, MLflow, anomaly detection, simulation problems, AI frameworks

graph databases , Tensorflow, Nlp, Pytorch, Rdf, Gcp, MLops, Neo4j, Azure, Python, AWS, knowledge graph construction, GenAI, Scikit-learn, DGL, Llm