Shiva Krishna Donthi
Applied Ai Engineer @Xcontrol
Signup · Get unlimited contacts
WORK HISTORY
Applied Ai Engineer @Xcontrol
Hamburg, DE
Design and implement RAG (Retrieval-Augmented Generation) architectures for SaaS products, integrating LLMs into production software workflows- Work daily with AI coding assistants — Cursor, Claude Code, and GitHub Copilot — applying prompt engineering and context engineering strategies (system prompts, AI rules.cursorrules, AGENTS.md) to accelerate development- Build and evaluate MCP (Model Context Protocol) servers and integrations to extend AI assistant capabilities across the development ecosystem- Develop agentic workflows and agent skills using LangChain and Claude API, enabling autonomous task execution and multi-step reasoning pipelines- Drive AI adoption within the engineering team: evaluate new tools, define documentation standards, and run knowledge-sharing sessions on AI-assisted development- Use CLI-first tooling (Claude CLI, custom MCP servers, shell automation) to optimize the software development lifecycle end-to-end
EDUCATION
Fachhochschule Wedel
Master of Science, IT Engineering
International Institute of Information Technology Hyderabad (IIITH)
Advanced Certification in AI and ML, Artificial Intelligence and Machine Learning
Vardhaman College of Engineering, Hyderabad
Bachelor of Technology (B.Tech), Electrical and Electronics Engineering
ABOUT SHIVA KRISHNA DONTHI
I\'m a Senior AI Software Engineer with 10+ years of professional software development experience, including 2+ years working daily with AI coding assistants (Cursor, Claude Code, GitHub Copilot) in production environments.My current focus is at the intersection of AI tooling and developer experience. I architect RAG systems, design agentic workflows, and build context engineering strategies (system prompts, AI rules, MCP integrations, CLI tooling) that meaningfully accelerate software development lifecycles.At Xcontrol, I lead AI adoption across the engineering team: evaluating emerging tools like MCP (Model Context Protocol), building agent skills and autonomous workflows with LangChain and Claude, and embedding AI-assisted patterns into day-to-day development. I work with TypeScript, Python, Angular, Node.js, and Spring Boot, and I advocate for responsible, critically-reviewed use of AI-generated code.Beyond building, I enjoy sharing knowledge through workshops, documentation standards, and internal training to help teams get maximum value from AI tooling.I\'m particularly interested in roles where I can help organizations adopt AI at the developer infrastructure level, shaping how teams build, not just what they build.
This profile is compiled from publicly available professional sources. Unifers is not affiliated with or endorsed by LinkedIn. Request removal of this profile.