Platform
Argo CD
GitOps delivery and sync for Kubernetes workloads.
I'm Syed, a Senior Product Support Engineer at HashiCorp (now IBM), deep in Terraform Enterprise with enterprises across AWS, Azure, and GCP. My week is the space between what a team meant to deploy and what still runs after upgrades, credentials, data dependencies, and real on call pressure. I am deliberately steering toward Solutions Architecture, grounded in university studies in cybersecurity, a career path that has consistently looked like DevOps and site reliability engineering in enterprise settings, and the AI oriented product work I have shipped through Webifex Labs. The bar I am aiming for is clearer tradeoffs with customers, designs that survive production, and roadmaps that stay honest about risk.
I am also a full stack builder. Through Webifex Labs I have shipped many production web apps over six plus years in the cloud. On this site that shows up as AI Incident Assistant (authenticated incident playground, MCP backed tools, Supabase sessions, gateway routed models) and IB Scheduling (Go API on Railway, Supabase Auth and Postgres, OIDC verified JWTs, Prometheus and Grafana). The blog holds a small set of Terraform Enterprise support articles I also published on the public HashiCorp and IBM knowledge bases, so the writing matches the work.
I am being more deliberate about visibility: selected code lives on GitHub, and I treat this portfolio as a living site I refresh as the story and the builds move forward.
A practical map of what shows up in Terraform Enterprise support work, portfolio builds, and AI side projects. Brand marks are for recognition only.
Platform
GitOps delivery and sync for Kubernetes workloads.
Platform
Day to day support, upgrades, and automation at enterprise scale.
Platform
Service discovery, mesh, and connectivity patterns.
Platform
Scheduling and orchestration alongside the rest of the stack.
Platform
CKA level operations, EKS style troubleshooting, workload design.
Platform
APIs and services where typed concurrency and small binaries matter.
Delivery
App Router, SSR, and production frontends.
Delivery
End to end typing for UI, APIs, and tooling.
Delivery
Deploy previews, edge routing, and AI Gateway for production traffic.
Observability
Dashboards, TFE telemetry samples, and on call visibility.
Observability
Metrics collection and alerting in customer and lab environments.
AI
Agents, tools, and structured flows around LLMs.
AI
Tracing and eval hooks for LLM apps in production.
AI
Datasets, regression checks, and observability for chains.
AI
Anthropic models for assistants, drafting, and careful reasoning.
AI
Tool surfaces and context for agents, including incident style demos.
Also in the toolbox
The rest of what shows up on my CV and in shipped work: multi cloud, data stores, CI, observability, and everyday runtime glue.
Syed Ibtihaj
Design & Code by Syed Ibtihaj
Actively maintaining this site and pushing new work to GitHub as it ships.
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