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nitin-vavdiya/README.md

Hi, I'm Nitin Vavdiya πŸ‘‹

πŸ€– AI-Augmented Solution Architect


πŸš€ About Me

I design, review, and ship production systems in partnership with AI coding agents πŸ§‘β€πŸ’»πŸ€πŸ€– β€” Claude Code, Cursor, GitHub Copilot β€” while keeping the architectural judgment human-owned.

13 years in software, now operating AI-first: the agent writes the code, I own the design decisions, the security calls, and the accept/reject.

πŸ’‘ My working model: direct and correct the agent, don't just accept its output. That's where the real architecture happens.


🧠 What I Do With AI

πŸ› οΈ Agentic development pipelines β€” design and run multi-agent pipelines (spec β†’ impact β†’ review β†’ ship) across large, multi-repo codebases, with adversarial review lanes, automated quality gates, and per-run cost/quality tracking; learnings feed back into the agents.

πŸ”Œ AI tooling & MCP integration β€” integrate and benchmark AI dev tools and MCP servers through controlled experiments, proving a tool's real value before adopting it.

πŸ” AI-augmented code review & security β€” a structured, multi-dimension review model with triage; catch correctness, security, and data-integrity issues before they ship.

🚨 Production incident investigation β€” root-cause analysis on live systems, human-gated and confirm-before-run: diagnose β†’ reproduce β†’ fix β†’ verify, with before/after proof.

⚑ AI-accelerated development & DevOps β€” scaffolding, cross-cutting refactors, and framework migrations, plus generating and reviewing cloud-native infrastructure β€” design through to production.

πŸ“ Architecture docs & decisions β€” ADRs, C4 diagrams, system specs, and RFCs written for both humans and AI code-gen.


🧭 Engineering Leadership

🀝 Mentoring & upskilling β€” accelerate engineers through onboarding, pairing, and clear documentation; turn individual expertise into team-wide capability.

πŸ“ Standards & process β€” establish engineering best practices, review gates, ADR/RFC discipline, and a security-first default across teams and repos.

πŸ”Ž Code-review leadership β€” own the review bar with a structured, multi-dimension approach; raise quality and catch issues early without slowing delivery.

πŸ“ˆ Knowledge multiplication β€” reusable context docs, shared tooling and templates, and onboarding material so the team self-serves and ramps fast.


πŸ€– AI Toolchain

Claude Code Cursor GitHub Copilot MCP Neo4j

multi-agent workflows Β· CodeGraphContext Β· Serena Β· prompt engineering for architects


🧱 Engineering Foundation

Languages & Frameworks β˜•πŸΉ

Java Go Spring Boot Hibernate Quarkus

DevOps & Cloud β˜οΈβš™οΈ

Docker Kubernetes Helm Argo Terraform AWS Azure

Data & Identity πŸ—„οΈπŸ”

PostgreSQL MySQL Redis Elasticsearch Keycloak SSI


🌐 Open Source

πŸ›οΈ Committer at the Eclipse Foundation on Eclipse Tractus-X β€” contributing to the Managed Identity Wallet using did:web and Self-Sovereign Identity (SSI).

πŸ“š Domains

🏭 Data Space (IDS) Β· πŸš— Automotive Β· πŸͺͺ SSI Β· 🌍 Gaia-X Β· 🧠 AI/ML Β· πŸ“„ Document Collaboration Β· πŸ₯ Health Tech Β· ♻️ Sustainable Reporting Β· πŸ’° Finance Β· ✈️ Travel Β· πŸŽ“ Education

🌱 Currently

Going deep on agentic AI for software architecture πŸ€–πŸ“ β€” working through a structured Claude Code mastery program and applying it daily to real microservice, DevOps, and SSI/dataspace work.

πŸ“« Let's Connect

LinkedIn GitHub


Thanks for visiting! 😊

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