Matplotlib, Hadoop, Power Bi, data mining, Big Data Technologies, Tableau, Google Cloud, Spark, Azure, Python, AWS, Machine Learning Algorithms, data visualization tools, R, MLOps practices, Statistical Modeling, cloud-based data platforms, feature engineering

Machine Learning, Predictive Analytics, Python, Apis, MLops, Distributed Systems, Cloud-native environments, Developer Productivity, Intelligent Automation, Generative AI, Statistical Machine Learning

triton , Tensorflow, MLops, Pytorch, Kubernetes, Python, PEFT, Airflow, fine-tuning, Generative AI, LLMOps, Hugging Face, Ray, vector databases, LLM systems, large-scale retrieval systems, vLLM, Agentic AI, Distillation, TGI, LoRA, RAG architectures, model optimization

S3, PostgreSQL, Tensorflow, Lambda, Javascript, Ec2, Pytorch, Docker, XGBoost, Python, Node.js, Redis, Opencv, FastAPI, MongoDB, Kubernetes, scikit-learn, Hugging Face, TensorRT, TorchScript, Pinecone, ONNX, Stable Diffusion, Detectron2, controlnet, YOLO, AWS SageMaker, Diffusers

Ml, San, Pytorch, Al

Spark, Azure, Python, AWS, Airflow, cloud ML platforms, MLFlow

Databricks, Tensorflow, Pandas, Numpy, MLops, AWS, Pytorch, Python, Azure, Docker, Git, Hugging Face, LLMs, Transformers, MLflow, retrieval-augmented generation, scikit-learn, CI CD, LangChain

Rust, Cloudformation, Jenkins, Git, Gcp, Terraform, Spark, FastAPI, Azure, Kubernetes, Python, AWS, LangChain, Hugging Face Transformers, Go, MLflow, TF Serving, vLLM, GitHub Actions, CI CD pipelines, TorchServe

Docker, Asynchronous programming, Kubernetes, Python, gRPC APIs