Java, Sql, Typescript, Python, n8n, LLMs, AI ML algorithms and frameworks, TensorFlow Serving, Mlflow, Model Context Protocol for Agentic AI Tools, flyte, MLOps tools, TorchServe, CI CD practices

LLMs (OpenAI, Data Processing & Feature Engineering, Cloud Platforms (AWS/Azure/GCP – optional), Python, Pytorch, LangChain, NLP Concepts

Python, Sql, tree-based models, R, observability monitoring tools, Generative AI tooling, time-series forecasting, classical ML modeling

Python, image processing techniques, embeddings, Generative AI, LLMs, Azure OpenAI Service, vector databases, deep learning architectures, conversational AI systems, agent workflows, chatbots, AI pipelines, neural network frameworks, RAG pipelines, retrieval pipelines

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

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

AI ML, Pytorch, Sql, Nlp, aws, Model Deployment