AI Apparatus: An Open Marketplace for AI Agent Skills and MCP Servers
Introducing ai-apparatus, a fork-friendly marketplace for sharing IDE skills and MCP servers across Cursor, Claude, VS Code, and other AI coding agents.
Platform engineer
Resilient, automated, cost-aware platforms: security-first IaC and golden paths that cover people and agents — scoped access, sandboxes, and gates so agent-aided work stays reviewed, audited, and bounded on the path to prod.
Remote-friendly
Hiring for platform, cloud, DevOps, SRE, or AI-ready infrastructure? LinkedIn first.
I’m a platform engineer and DevOps/SRE practitioner focused on architecture and operations staying aligned as stacks evolve: observability, conventions, and release discipline that prevent drift before it becomes an outage.
I extend golden paths to agentic and AI-assisted work (RBAC-bound access, sandboxes, gates) and favor one delivery bar for application and ML-shaped workloads — with GPU- and quota-aware Kubernetes where teams run inference. Open to roles that value agent-safe platforms and pragmatic enablement.
Quick keyword alignment — depth in roles and posts below.
Platform and cloud roles; top row — Uberflip → Pathfactory (one tenure).
Nov 2021 — Present
Pathfactory (acquired Uberflip) · B2B martech · Canada
One continuous tenure: joined Uberflip; Pathfactory acquired Uberflip — same platform remit throughout. AWS architecture and operations, incident response and proactive reliability, and stack modernization including EKS and Aurora migrations and performance work (internal platform metrics). AI enabler for engineering: practical AI-assisted workflows with agent-safe guardrails—scoped access, review, and policy—so teams move fast while agent and human changes to prod stay audited and scoped.
Aug 2020 — Nov 2021
Morgan Stanley
Built an AWS orchestration framework using Infrastructure as Code and Policy as Code, cutting deployment time ~30% (approximate, from internal deployment metrics). Ran large-scale compute with auto-scaling (up to ~1000 cores) for demanding workloads.
Sep 2018 — Jul 2020
Concordia University
Owned cloud infrastructure and IT support: AWS system design, operations, and first-line support for university services with focus on reliability.
Dec 2016 — Aug 2018
Auribises Technologies — India
Android (Java) apps on AWS; led a team of 10. Managed AWS accounts, automated testing, and improved security posture for releases.
Recent posts on platform engineering, cloud, Kubernetes, and AI-ready infrastructure. Full archive on the blog.
Introducing ai-apparatus, a fork-friendly marketplace for sharing IDE skills and MCP servers across Cursor, Claude, VS Code, and other AI coding agents.
Lessons from running Qwen, Gemma, and GLM models on local NVIDIA 3080 GPUs with opencode and aider — understanding costs, risks, and how to design guardrails for enterprise use cases.
Team structure, responsibilities, and success metrics for an organizational AI Center of Excellence.
A workflow-based container architecture for running AI agents in production clusters with strict sandboxing, no external tool access, and VPC-bounded outputs.
Common pitfalls when scaling AI experiments into production workflows and how to avoid them.
How to evaluate if an organization is ready for AI adoption across infrastructure, skills, and culture dimensions.
Platform delivery and automation — representative patterns for internal AI-assisted tooling with guardrails and agent golden paths (no proprietary repo links).
Fork-friendly marketplace for Cursor IDE skills and opt-in MCP servers: install script, session sync hook, credentials file → mcp.json injection, agent golden-path framing. Skills are examples—tune or replace for your org.
Repository →Migrated a fragile on-prem Percona MySQL cluster that was impacting site stability. Parallelized dump/restore, Aurora performance insights, and query tuning for heavy workloads.
Repository →LinkedIn is the right place for recruiters and hiring teams — tell me what you’re hiring for and I’ll reply there first.
Hiring for platform, cloud, DevOps, SRE, or AI-ready infrastructure? LinkedIn first. For everything else, email is below.
Phone available on request after first contact.