Hi there! 👋
TL;DR 🏃 🏃♀️ Software engineer by Profession. Lifelong learner!
I'm a Solution Architect and AI Engineer who builds cloud-native systems and ships AI in production — not as an experiment, but as a core engineering discipline.
My foundation is ~14 years of cloud architecture across Azure, AWS, and GCP: scaling 531-megapixel image renders, building "source of truth" backends for complex order hierarchies, and turning small tracking tools into mission-critical platforms — often on short notice, under real constraints.
Over the last couple of years, I've moved from using AI as a productivity aid to building with it directly. Today my practice includes designing agent-based tooling with Claude SDK and Claude Code CLI, working with MCP integrations and SKILL.md-based capability frameworks, and applying prompt engineering techniques (chain-of-thought, few-shot, system prompting) in live projects. I design multi-agent orchestration and fan-out patterns, work with RAG pipeline architecture, and am expanding into Azure AI Foundry for enterprise Gen AI deployment. I've also contributed to reducing cloud spend through architecture decisions that align AI service usage with actual workload demand.
I'm a big believer that passion and the right environment can bridge any skill gap. I've mentored dozens of engineers — recognised with a "Shishya" award — and most recently reskilled 30-40 engineers from .NET to Python, building the internal training materials and code review standards to make that transition stick.
What I bring to the table:
AI Engineering: Claude SDK · Gemini · MCP · SKILL.md · Prompt Engineering (CoT, few-shot) · Multi-agent Orchestration · Fan-out Patterns · RAG Design · Responsible AI Guardrails
Cloud Architecture: Azure, AWS & GCP — serverless, containerised, event-driven. Optimised a client's core computation logic by 70%; manage production systems serving 200,000+ monthly requests.
Python & Backend: Deep Python across Django, FastAPI, and REST APIs. SQL optimisation (MySQL, SQL Server), Docker, and high-traffic load balancing (Nginx/Gunicorn).
Delivery Leadership: Agile team management, stakeholder alignment, and accountability-first leadership across cross-functional teams of 15+.
Outside the IDE, I stay sharp across Retail, Logistics, and Fintech. I'm active in the AI practitioner community through meetups and industry events.
If you're building something that needs cloud architecture depth and hands-on AI engineering — or need a strategist to navigate the GenAI landscape with production discipline — let's talk.