containerization , Tensorflow, Azure ML, MLops, Pytorch, Python, Prompt engineering, GenAI Agentic frameworks, GCP Vertex AI, Autonomous agents orchestration, AWS SageMaker, RAG pipelines, Multi-agent systems

Gcp, Docker, Azure, Kubernetes, AWS, LangChain, Generative AI, Ray, vLLM, prompt engineering, Agentic AI, NLP pipelines, ML workflows, FAISS, Milvus, ChromaDB, LlamaIndex, BentoML

data engineering , Distributed Computing, Apis, Neural Networks, AI ML, Sql, Microservices, Tensorflow, Azure ML, Numpy, Nlp, Computer Vision, Pandas, Pytorch, MLops, Keras, Python, Machine Learning Algorithms, Scikit-learn, AWS SageMaker, Google Vertex AI, Statistical Modeling

solution architecture, Python, Agentic AI, orchestration frameworks, LangChain, AutoGen, Semantic Kernel

data engineering , Machine Learning, Hadoop, PostgreSQL, Sql, Tensorflow, Gcp, Pytorch, Spark, Azure, Python, AWS, Computer Vision, Scikit-learn, Ai, reinforcement learning, ETL processes, Data preprocessing techniques

Kafka, Microservices, Tensorflow, Pytorch, Gcp, Docker, Spark, Rest Apis, Azure, Kubernetes, Python, AWS, Airflow, LLMs, DevOps practices, Generative AI frameworks, Hugging Face Transformer, MLflow, SageMaker, CI CD pipelines, Kubeflow, MLOps tools, NLP techniques

MongoDB, Sql, Java, concurrency, Typescript, Angular, Nosql, Karma, JUnit, Less, PostgreSQL, Spring Boot, Sass, Mockito, Jasmine, Html5, multithreading, Css3, Oracle, OpenAI, Cypress, Pinecone, AI APIs, ChromaDB, vector databases, Anthropic

Python, Sql, Financial Services, Data Analysis, Team Leadership