Pandas, Python, orchestration frameworks, Github Workflows, Airflow, scikit-learn, Machine Learning Operations

Cloudformation, Jenkins, Git, MLops, Gcp, Terraform, Spark, FastAPI, Azure, Kubernetes, Python, AWS, RAG systems, MLflow, vector databases, TF Serving, statistical hypothesis testing, GitHub Actions, TorchServe, Go or Rust

Power Bi, Tableau, Sql, Numpy, Git, Nlp, Pandas, Gcp, Spark, Flask, FastAPI, Azure, Python, AWS, Weights Biases, Airflow, scikit-learn, MLflow, CI CD, Looker, Cv, dbt

Databricks, Microservices, Tensorflow, Kafka, Opencv, Machine Learning, AWS, Pytorch, Kubernetes, Python, Azure, Gcp, Docker, Apis, Git, Spark, data pipelines, ONNX, AI-assisted engineering tools, Airflow, MLflow, DevOps MLOps practices, CI CD pipelines

text classification , Embedded Linux, Nlp, Pytorch, Python, LLM RAG Pipelines, LangChain, Hugging Face, TensorRT, Quantization, Model Fine-tuning, NVIDIA Jetson Platforms, ONNX, Vector Databases, Jetson Nano, ONNX Runtime, LLM Deployment, RAG, Real-time AI Applications, Edge AI Optimization, NER, Prompt Engineering

Matplotlib, Tensorflow, Numpy, Jenkins, Gcp, MLops, Pandas, Keras, Azure, Python, AWS, XG Boost, TFX, Hugging Face, Scikit-learn, MLflow, Lang Chain, SageMaker, GitLab CI, GitHub Actions, OpenAI APIs, Kubeflow, Py Torch

Machine Learning, Sql, Python