I’m Waqar Gulzar. I work the whole line: the interface people touch, the API behind it, and the model doing the thinking. AI projects usually lose something in the handoff between those three. I own all of it, so the thing that ships is the thing that was designed.
Most AI projects do not fail at the prompt. They fail in the plumbing, and then again in the gap between the person who designed the interaction and the person who wired the model into it.
Interfaces that feel finished: streaming responses into the message, optimistic state, and real loading, empty and error screens. Keyboard and screen-reader first, then pixels. I am comfortable inside a design system and in pixel-level work.
Tool use, planning loops, memory, human-in-the-loop. Bounded, cancellable, and instrumented so you can see exactly which tool call produced which token.
REST services, databases, auth, payments with real logic. Retrieval on top: chunking that survives messy documents, hybrid search, reranking, permission filters and a refresh path so answers are never stale.
Golden sets built from real traffic, model-graded rubrics, CI gates that refuse a regression, traces with token and cost attribution per request — plus interface regression tests, because 40 ms is still a regression.
Streaming, caching, batching, queues, GPU or serverless, rate limits. Fine-tuning and distillation when they pay for themselves. Cost per request is a number I report, not a surprise in the invoice.
Auth, secrets, PII redaction, prompt-injection boundaries, timeouts, fallbacks, backfills, and a rollback someone has already rehearsed. Documented, so the next developer picks it up without me.
One person, three layers. The interface, the API and the model are usually three people and two handoffs — and the requirements quietly change in both directions. That is the gap I close.
Six hops between the user's question and the answer, then the interface that renders it. I own both ends, so the streaming strategy, the latency budget and the loading state get decided together instead of negotiated.
Latency budget: the first token should not wait for retrieval to fully settle. Skeleton, then answer, then citations.
Failure budget: every hop has a timeout, a fallback and a metric — and the interface has a real state for each one, not a spinner.
Boring where it should be boring. The interesting decisions belong in the architecture, not in the dependency list.
Each entry says what it does, what went wrong along the way, and where it still breaks. A case study without limits is an advertisement.
One project, three layers, one person. The composer the agents type into, the retrieval behind it, and the model writing the answer — built together so the streaming, the citations and the latency budget were designed rather than negotiated.
An execution harness for tool-using agents: every step is a durable record, every run has a wall-clock and token ceiling, and a step that hangs gets killed instead of billing forever. The console reads the same log the runner writes, so the UI can never disagree with the truth.
A regression harness wired into CI. A pull request that changes the model, the prompt or the interface has to pass a golden set, a rubric graded by a model, and a latency, cost and bundle-size check before it merges.
More case studies on request. The full write-ups, including the failure logs, are available on a call.
Kept short on purpose, and dated, because a "now" page without a date is a lie.
A first task of five to ten hours. You see how I estimate, communicate and hand over before anything larger is on the table.
The same person from the first wireframe to the last migration. No handoff, no re-explaining, and no “that’s a front-end thing”.
Your repository, your tracker, your review process, your design system. No new tooling your team has to learn.
Progress, questions and trade-offs go into your tracker or Slack. Calls are audio when a call is genuinely faster.
One rate for the interface, the API, the model and the infrastructure. No tiered packages, no discovery fee.
Paid via Payoneer or crypto. Invoiced weekly or monthly.
One shared pool for everything, not hours per person. It goes to whoever fits the task.
Send a few lines: what it does, what is blocking it, and what a good outcome looks like. I reply with a rough estimate or an honest no.