Generative AI (RAG, Big Data Technologies (Spark/Kafka/PySpark), Distributed Cloud ML Systems, SDLC Expertise, Graph ML, Production-Grade ML Code Development

Git, Azure Functions, Python Programming, FastAPI, MongoDB, Kubernetes, agentic AI solutions, traditional AI algorithms, DevOps practices, AI development workflows, Redis Cache, vector databases, Jupyter Notebook, Relational Databases, ADLS, Azure services, CI CD pipelines, Generative AI LLMs

Machine Learning, Natural Language Processing, Tensorflow, Deep Learning, Git, Computer Vision, Gcp, Pytorch, Agile Development, Big Data, Azure, Python, AWS, Generative AI, AI techniques, LLM models, Agentic frameworks, data preprocessing techniques, cloud computing platforms

Java, MLops, Gcp, Microservices, Distributed Systems, AWS, Backend Engineering, Kubernetes, Python, Azure, Apis, vector databases, agentic frameworks, LLMs, AI safety governance, cloud platforms, LLMOps, Weaviate, orchestration patterns, Pinecone, multi-agent systems, Go, event-driven systems, responsible AI frameworks, RAG architectures, FAISS