Tensorflow, Pytorch, Python, Generative AI, fine-tuning, model evaluation, Agentic AI, prompt engineering

Microsoft Azure, Python, GitHub Copilot, RESTful API design, AI ethics and regulations

Distributed Systems, Self-Hosted Inference, AI Architecture, GPU infrastructure, Conversational AI assistants, Enterprise AI Security, Scalable AI infrastructure, Model serving frameworks, Autonomous engineering agents, Evaluation Frameworks, Agent Systems, Benchmarking systems, Production-grade AI systems

Java, Data Structures And Algorithms, Rust, Apis, Cloudformation, Microservices, Terraform, System Design, Performance Testing, Distributed Systems, Python, AWS, Token optimization, Vector databases, Go, LLM engineering, Tool-calling interfaces, Infrastructure as code, Agent frameworks, Containerized services, Data pipelines, Context-window management

bedrock , Gcp, Java, Typescript, MLops, Python, AWS, WDL, GA4GH standards, Go, Nextflow, Google Vertex AI, CWL

Gcp, Docker, Databricks, Azure, Kubernetes, Python, AWS, CrewAI, LangChain, MLflow, AutoGen, LangGraph, SageMaker, Kubeflow, Vertex AI

.Net Core, Typescript, Terraform, Python, AWS, Java, Sql, Azure, No-SQL, CI CD, GitHub Actions, LLM orchestration, RAG and GraphRAG, LangChain, multi-agent frameworks, guardrail design, prompt and context engineering, cloud-native applications, Claude Code, GenAI capabilities, crewAI, AutoGen, GitLab CI, ML AI features, GenAI frameworks, LlamaIndex

Software Development Lifecycle, Docker, Big Data, FastAPI, Restful Apis, Python, Kubernetes, NoSQL and document databases, CI/CD practices, Design and architecture of large distributed systems

MLops, Data Knowledge Integration, Enterprise Integration Architecture, LLMOps, Responsible AI Governance, API Event-Driven Design, Cloud Platform Architecture, Architecture Leadership, AI ML Generative AI Solutions, Agentic AI Workflow Orchestration, Stakeholder Vendor Management

AWS CloudWatch, Javascript, Flutter, Python, AI ML, Infrastructure as Code, CI CD