Tensorflow, Pytorch, Cosmos DB, Python, Aws Services, AI ML, Keras, Azure Machine Learning, Anthropic Claude, Agentic AI Platforms, Google AI Platform, Azure OpenAI, Microsoft Copilot, Azure AI Search, Cloud MLOps, CrewAI, LangChain, Generative AI, Semantic Kernel, AutoGPT, AutoGen, GitHub Copilot, AWS SageMaker, Prompt Engineering

S3, Pyspark, Microservices, Lambda, Python, Java, Spark SQL, Aws Services, J2EE, Redshift, Git, Databricks, AI Agents, GenAI models, Dataframes, MCP Servers, Data Lake architectures, React UI, LLM Orchestration, Agentic frameworks, Step Functions, MSK, EKS, CI CD pipelines, Athena, OpenAI, Agentic AI libraries

hybrid approaches, traditional ML, RAG pipelines, LLMs, retrieval pipelines, context management, document ingestion, prompt orchestration, embeddings, hallucination mitigation, production-grade AI systems

API development and integration, Python, Monitoring observability or MLOps concepts, Agentic frameworks or orchestration patterns, Generative AI and LLMs, Tool calling and action execution, CI CD and modern DevOps practices

AI Integration Tools - LangChain LlamaIndex, Tensorflow, Pytorch, Machine Learning Frameworks, AI model fine-tuning techniques, Prompt engineering, AWS Bedrock, Vector Database architectures, Advanced Python programming for AI ML applications, Retrieval Augmented Generation RAG, Hugging Face, LoRA Low-Rank Adaptation techniques, Amazon SageMaker, Machine Learning architectures, Generative AI Technologies, AI system design and integration, GraphRAG methodologies, Cloud-native AI solution design, Large Language Models LLMs, AWS AI services, Agentic AI design principles

data engineering , containerization , Software Engineering, Python, agent orchestration frameworks, testing strategies, cloud platforms, LLMOps, data pipelines, machine learning engineering, observability, communication patterns, real-time context injection, control flows, cluster orchestration, AI workflows

Python, Django, Azure ML, Tensorflow, Rest Api, Azure DevOps, Next.js

Python, Databricks, MLops, Data Privacy, RAG pipelines, LLM APIs, real-time inference systems, Agentic AI frameworks, vector databases, Streaming Data, CI CD, LangChain, semantic search

data engineering , Spark, Tensorflow, Kafka, AWS, Pytorch, Python, Azure, Gcp, LLMs, AI ML frameworks, R, CI CD pipelines, Cloud platforms