Prometheus, Grafana, Tensorflow, Pytorch, Terraform, Docker, Flask, FastAPI, Python, Kubernetes, Infrastructure as Code, Scikit-learn, artifact management, GRPC, CI/CD pipelines, model registries, Evidently AI

Java, Apis, Node.js, Kotlin, React, Gcp, Docker, Azure, Python, Kubernetes, AWS, data pipelines, event-driven architectures, Messaging

Tensorflow, Time Series Analysis, Pytorch, Python, RNNs, signal processing techniques, CNNs

containerization , Apache Hadoop, Machine Learning, Distributed Systems, Tensorflow, MLops, Pytorch, Docker, Big Data Technologies, Kubernetes, LangChain, Generative AI, Data Pipelines, Hugging Face Transformers, CI/CD Pipelines, TensorFlow Serving, gRPC APIs, NVIDIA Triton, TorchServe

probability , Tensorflow, Git, Nlp, Pytorch, Docker, Predictive Modeling, Python, Kubernetes, Generative AI, fine-tuning, scikit-learn, LLMs, statistical learning, Mathematics, time-series forecasting, calculus, prompt engineering, model evaluation, Optimization, Statistics, Mathematical Modeling, linear algebra

Svm, XGBoost, Python, Decision Trees, Clustering, MLops, Restful Apis, Agent reasoning patterns, Prompt engineering, Feature selection, scikit-learn, RAG systems, Data preprocessing, Conversation analytics, AI system observability frameworks, LLM conversational AI systems, Feature engineering, semantic search, AWS Sagemaker, LangChain, CrewAI, Vector databases, LightGBM, Ensemble models, Regression, Statistical Modeling, Agent frameworks, Context optimization

Tensorflow, Jax, Pytorch, Python, Nlp, ASR, Llm, Agentic RAG pipelines, low-latency real-time ML applications, ML lifecycle evaluation and deployment, self-learning agents, TTS, state space models, LLM orchestration

Kubernetes, Java, Python, Docker, Metaflow, Kubeflow, MLflow, TFX, Go, Google Vertex AI, AWS SageMaker