Tensorflow, Pytorch, MLops, Python, model observability, experiment tracking, Applied ML, Ai, evaluation frameworks, data feature stores

causal inference , Large language models (LLMs), Google Cloud Platform (GCP), Cloud Engineering, Machine Learning, Microsoft Azure, Predictive Modeling, Artificial Intelligence, Python, AWS, Scalable machine learning systems, Counterfactual methods, Research and experimentation, Data streaming pipelines, Retrieval-augmented generation, Real-time inference, Statistical machine learning, Transformer architectures, AI orchestration

Java, Golang, Machine Learning, Devops, Webrtc, Kubernetes, Python, real-time audio, Ai, Claude, Code Cursor, Voice AI, STT, TTS, Telephony, LLM-based applications, Windsurf

Machine Learning, Gcp, Artificial Intelligence, Azure, Python, AWS, LLMs, Transformer Models, Statistical Machine Learning Algorithms

data engineering , Machine Learning, Pyspark, Sql, Tensorflow, Git, Azure Data Factory, Pytorch, Docker, XGBoost, Databricks, Python, SHAP, scikit-learn, LightGBM, MLflow, CI CD, Unity Catalog, Delta Lake, Optuna, statsmodels

Ml, Deep Learning, Tensorflow, Nlp, Pytorch, Gcp, Python, AWS, LLMs, SLMs, auto-classification, anomaly detection

Distributed Systems, Gcp, Cloud, MLops, Azure, Python, AWS, MLflow, reinforcement learning, Deep RL, Policy Optimization, SageMaker, Optimization Techniques, Kubeflow, DL algorithms, RLHF

containerization , Kafka, API design, metrics, Data Protection, Python, Logging, Java, Hadoop, Scala, Hive, MLops, Incident Response, Authentication, Spark, Kubernetes, GenAI, LLM tooling, Distributed tracing, Go, Security, Authorization, Observability, Ai, HDFS

network automation , telemetry , Apis, Incident Management, BGP, Cloud Infrastructure, Ansible, OSPF, Python, EVPN-VXLAN, Hyperscale environments, RDMA RoCE InfiniBand, Data center networking, Routing and switching technologies, Mpls, Large-scale distributed systems, Observability, Monitoring