~14 years architecting cloud-native systems on Azure, AWS, and GCP — with active hands-on practice in Generative AI engineering: multi-agent orchestration, prompt engineering, RAG design, and agentic tooling built on Claude SDK, Gemini, and MCP. A track record of leading engineering teams of 15+ and reducing cloud infrastructure costs through deliberate architecture decisions.
I build with AI as a core engineering discipline — designing agent-based tooling with Claude SDK, Claude Code CLI, and MCP; structuring capability frameworks with SKILL.md; and working with Gemini and Google AI Studio across active projects. My practice spans prompt engineering (chain-of-thought, few-shot, system prompting), multi-agent orchestration, fan-out patterns, and RAG pipeline design — applied in production-facing work, not sandboxes. I actively manage AI service costs through architecture decisions aligned to real workload demand, am expanding into Azure AI Foundry for enterprise Gen AI deployment, and stay connected with the AI practitioner community through events and meetups.
Appreciated for efforts, dedication to project deliverables, and managing overall challenges in Q1 2025.
Recognized for responsible team handling abilities and commitment in Q3 FY20.
Awarded at Cognizant Annual Awards 2018 for innovations in Conversational UI & Slack Bot integration.
Received 'Shishya Award' for mentoring trainees.
I'm open to cloud architecture engagements, Python backend projects, and AI-augmented solution design. If you're building something that needs cloud-native thinking and production-grade engineering across Azure, AWS, or GCP — let's talk.