Java, Data Modeling, Data Architecture, Storage Systems, Distributed Systems, Python, AI agent-facing infrastructure, On-premises infrastructure, Cloud-native architectures, System scalability, Distributed query engines, SQL-based data access patterns, Data platforms, Agentic AI engineering, Event-driven architectures

scalable architecture , TypeScript or similar), Modern frontend development (React, Identity And Access Management, Incident Response, Python development, Distributed Systems, Backend Engineering, Graph technologies, AI-powered development or operational tooling, Automation and software tooling, API design and development

react.js , .NET 8+, Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), C#, Web Api, Typescript, Docker, RESTful API development, Xunit, Jest, Azure DevOps, Redux, SQL Server, Redis, Elastic Search, MongoDB, Kubernetes, Entity Framework Core, LangGraph, Next.js, LangChain, NoSQL databases, Mog, MS-SQL Server, ASP.NET Core

Java, C, Javascript, Ruby, Python, Generative AI, big data querying, multiple programming languages, LLM deployment, fine tuning, Go, embedding models, vector databases, prompt engineering, agentic systems, privacy and security considerations, Evaluation, responsible AI, RAG techniques, guardrail techniques

.NET, DAST, Github, Terraform, Azure, Kubernetes, Python, AWS, FedRAMP Moderate, IaC, container tooling, GitHub Actions, secrets detection, security engineering, SCA, SAST, CI/CD, GitHub Advanced Security, SOC 2 Type 2, software supply chain security

Java, Databricks, Python, AI-enabled development practices, Software Development Life Cycle toolchain, Data cloud-native platforms