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

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

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

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

Python, vectorized programming, memory access patterns, pre-silicon validation, simd, silicon bring-up, VLIW processor architecture, cache hierarchy

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

AI ML, Recommender Systems, Data Governance, Software Engineering, similarity search, AI operations AIOps, graph techniques, cloud-native experience, training and fine-tuning large language models LLMs, machine learning operations MLOps, large language model LLM techniques, LLM operations LLM Ops, search ranking

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