Machine Learning, Nlp, Docker, Python, AWS, Databases, Sql, Deep Learning, Gcp, Rest Apis, Azure, RAG agentic AI, vector search, embeddings, pgvector, Qdrant, vector databases, Pinecone, CI CD, model evaluation, backend systems, retrieval, experimentation, AI APIs, Generative AI, LLMs, scalable application architecture, Monitoring, prompt engineering, performance optimization, Milvus, Weaviate, production engineering practices

Natural Language Processing (NLP), Tensorflow, Java, Pytorch, Keras, Python, Vision-based algorithms, Machine-learning techniques, Retrieval systems, Generative models

Sql, Tensorflow, Pandas, Pytorch, Spark, Splunk, Python, Monitoring for data and model drift, Scikit-learn, MLflow, Model versioning, Flink, LLM-based agents, Agentic AI, CI/CD for ML, Ciena Blue Planet UAA

Large Language Models (LLMs), Generative AI, Data preprocessing and augmentation techniques, Developing and deploying AI applications in cloud environments, Python Programming Language, Cloud AI services

Python, API-based deployment and integration of AI models, Data preprocessing, GenAI tools and LLM integration, Feature engineering

Machine Learning, PostgreSQL, Deep Learning, Tensorflow, Pytorch, Gcp, Opencv, FastAPI, Rest Apis, Azure, Python, Computer Vision, AWS, embeddings, AWS Bedrock, LLMs, Hugging Face, Anthropic, prompt engineering, Vector Databases, RAG, OpenAI