Tensorflow, Pytorch, Azure, Google Cloud, Deep Learning, AWS, Generative AI, Python Programming Language

Distributed Systems, Cloud Architecture, Authentication, Microservices, DevSecOps, AI ML, Api Management, Kubernetes, Docker, Apis, Microsoft Azure AI services, conversational AI, Security, RAG tool calling, chatbots, LLM-based applications, event-driven architecture, CI CD, A2A Agent-to-Agent communication, MCP Model Context Protocol, identity security, Authorization, AI agent frameworks, Generative AI, virtual assistants, enterprise integrations

Tensorflow, Machine Learning, Pytorch, Docker, Api Development, Python, AI system design, Scikit-learn, NLP concepts, RAG architectures

spatial data , Computer Vision, MLops, XGBoost, Databricks, Python, time-series methods, data pipelines, classical ML fundamentals, ONNX, model evaluation, quantization

Bash Scripting, Git, Linux, Python, Sql, MLOps practices, CI CD pipelines

Azure, AWS, Python, Apache Spark, Gcp, Nlp, Machine Learning, Generative AI, Speech Recognition

ELT, Machine Learning, Kafka, Etl, Redis, FastAPI, Kubernetes, Python, Docker, PostgreSQL, LangChain, Hugging Face, Applied AI, Generative AI

data engineering , Pytorch, Python, Tensorflow, Machine Learning, Large Language Models, ETL Pipelines, scikit-learn, Feature Stores, Prompt Engineering, Model Deployment, Generative AI

Tensorflow, MLops, Pandas, AWS, Pytorch, Python, Azure, Gcp, Apis, Computer Vision, Nlp, Spark, Agentic AI, GitHub Actions, LLMs, LlamaIndex, MLflow, MCP-based architectures, LLM frameworks, vector stores, Scikit-learn, RAG, LangChain, vector embeddings