Large Language Models (LLMs), Aws Lambda, Api Development, Amazon S3, Cloudwatch, Iam, ECS, Python, Api Gateway, embeddings, AWS security and authentication concepts, Generative AI, Agentic AI development, RAG architecture, tool function calling, AWS services and cloud architecture, containerized deployments, Agent orchestration, vector databases, EKS, MCP Model Context Protocol, Amazon Bedrock, Amazon Bedrock AgentCore

Machine Learning, Data Visualization, Sql, Python, R, Statistics, Jupyter

Web Application Development, User Interface, Kubernetes, service API, AKS, Monitoring, Agentic AI solutions, Production Support, full-stack web applications, AI agents, cloud-hosted applications, integration layers

Microservices, Java, Google Cloud, AWS, Kubernetes, Python, Azure, Docker, REST, LangChain, Go, GRPC, Langraph, GoogleADK

protein design , computational biology, protein engineering, Scientific workflow automation, Generative protein design approaches, Structure prediction models, Molecular foundation models, Scientific AI, Foundation models, Protein language models, Agentic AI systems, Molecular Modeling, Computational biology tools, structural biology

data development lifecycle, stakeholder alignment, data engineering concepts, agentic artificial intelligence patterns, modern generative artificial intelligence development tools, generative artificial intelligence building blocks, end-to-end delivery in data

Apis, AI ML, Gcp, System Design, Azure, Python, AWS, LangChain, LLMs, GPT prompt engineering, AutoGen, LLM-based applications, cloud platforms

Machine Learning, Natural Language Processing, Deep Learning, Tensorflow, Pytorch, Docker, Linux, Kubernetes, Python, Generative AI, reinforcement learning, Attention Mechanisms, Foundation Models, Transformers, Large Language Models