Aws, Togaf, Gcp, AI Architect, Ai, Llm

banking solutions , Technical Leadership, Java 8, Agile, API Security, Computer Engineering, Spring Framework, Hardware delivery, AI Agents, Responsible AI and Generative AI Practices in Financial Services, Platform Modernization, Digital Banking, Demonstrate resilience, API Specification, Industry Stakeholders, Pre-Sales Support

Sql, MLops, Cloud Architecture, Docker, Kubernetes, Python, Azure DevOps, Generative AI, enterprise data architecture, LLMOps, GitHub Actions, RAG, AI-ready data platforms, AI agents, AI security and governance

Model Context Protocol (MCP), Retrieval-Augmented Generation (RAG), Agent-to-Agent (A2A) protocol, Large Language Models (LLMs), Kubernetes, Rust, Tensorflow, Typescript, Pytorch, scikit-learn, Agentic AI, CI/CD, Microsoft Agent Framework, Google Agent Development Kit

data warehouses , API design, Sql, Devops, MLops, Data Governance, Python, LLMOps, data platforms, security-by-design, lakehouses, privacy-by-design, AI architecture, data lakes, infrastructure-as-code, Access Control

Ml, Aws, Ai, Architect

snowflake , Distributed Systems, MongoDB, AI Architecture, Google, AI ML Infrastructure, OpenAI, Anthropic, Modern Data Stacks, Data AI Platform Architecture

data warehouses , Python, API design, Sql, Devops, MLops, Data lakes, LLMOps, Vector databases, Infrastructure-as-code, semantic search, Generative AI evaluation, Data platforms, Lakehouses

Cloud-Native Mastery, systems thinking, Programming Depth, Responsible AI, Prototype to Production, MLOps Scale, AI ML Expertise

solace , Java, Veracode, Kafka, Spring Boot, Kotlin, Numpy, Pandas, Gcp, Sonarqube, Azure, Python, AWS, Project Loom, asyncio, Checkmarx, GenAI Agentic AI, GraalVM, Cython