Cloud Services, C, C++, Tensorflow, Javascript, Pytorch, MLops, Docker, FastAPI, Python, Kubernetes, Hybrid models, RAG generative AI ML techniques, scalable ML pipelines, Full-Stack AI ML Deployment, LLM development, Deep learning models for NLP

Large Language Models (LLMs), Computer Vision, Image Processing, Document Processing, Agentic libraries, Python Programming Language, Prompt Engineering, Lang chain, Autogen, Neural network architectures, RAG architecture, Deep learning frameworks, Vector databases, Lang graph, Cloud AI services, Chatbot development

Devops, Github, Git, Gitlab, Restful Apis, Kubernetes, Python, MLOps practices, ML libraries

vertex , bedrock , Tensorflow, Nlp, Pytorch, Gcp, Azure, Python, AWS, MLops, LangChain, CrewAI, LLMs, Generative AI frameworks, Hugging Face, Scikit-learn, MLflow, LangGraph, SageMaker, Vertex AI, Kubeflow, RAG, Polly, Sagemaker, Q Transcribe, Gemini, AutoML

snowflake , Matplotlib, Power Bi, PostgreSQL, Apache Spark, Tableau, Google Cloud, Sql, Tensorflow, Numpy, Pandas, Pytorch, MySQL, Seaborn, MongoDB, Azure, Python, AWS, Hugging Face, Scikit-learn

.NET, software design patterns , react.js , Automated Testing, Microservices, Typescript, Javascript, Docker, Restful Apis, Azure, Kubernetes, AWS, Vibe coding, generative AI models, DevOps best practices

Tensorflow, Pytorch, Python, LangChain, scikit-learn, Azure OpenAI Service, vector databases, LangGraph, OpenAI Agents SDK, OpenAI APIs, MLOps tooling, OpenAI Evals, GPT-4, semantic search, pgvector, Azure AI Search, Pinecone