Currently available for select engagements

Hire LLM Application Developer Canada
LLM apps grounded in your data

LLM applications for real workflows: document processing, copilots, and retrieval-grounded tools — built with evaluation, cost control, and a path to production. Eastern Time overlap for live collaboration; Pacific Time covered by agreed windows and async handoffs..

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15+

Years Experience

100+

Projects Delivered

Countries Served

$25M+

Revenue Enabled

Canadian Brands — Timezone & Tax Reality

An LLM feature is a system, not a prompt

A prompt in a playground is not an application. A production LLM app needs retrieval over your documents, structured outputs your code can trust, evaluation against real cases, latency and cost budgets, and fallbacks for the cases the model gets wrong. I build that system: document pipelines, RAG architectures, prompt and model selection tested against your data, and monitoring that shows accuracy, cost, and failure modes — so the app keeps working after the demo applause fades.

For Canada, the work is shaped by the local market. Toronto, Vancouver, and Montreal carry most head-office and DTC demand, with Calgary and Ottawa close behind. Shoppers expect CAD pricing, clear duties-and-taxes messaging on cross-border orders, and shipping options from Canada Post and Purolator alongside UPS and FedEx Canada. Quebec shoppers expect a French-language path through storefront, checkout, and support — not an English page with a translate button. I am Omer Muneer Qazi, Senior LLM Application Developer with 15+ years of experience and 100+ projects delivered. Book a free discovery call and we will scope the engagement against your market, not a generic template.

What you get

Built for Canada

Document workflows — extraction, summarisation, and classification over your documents, with structured outputs your systems can consume.
Retrieval-grounded copilots — assistants that answer from your content with citations, and say so when the answer is not in the material.
Prompt and model selection — models and prompts tested against your real cases, chosen on accuracy and cost — not on benchmark headlines.
Evaluation and guardrails — scored test sets, output validation, and human review queues for the cases that matter.
Cost and latency control — caching, model routing, and token budgets that keep a successful app affordable at real volume.
Canadian data handling — PIPEDA-aligned data flows, Canadian-region hosting options where your stack supports them, and no training on your proprietary data without written agreement.

How it works

From kickoff to launch in Canada

Use-case audit
one free call to pick the workflow where an LLM app pays first, and to rule out the ones where it would not.
Prototype on your data
a working app tested against your real documents and cases — not a generic demo.
Harden and evaluate
guardrails, structured outputs, and scored evaluation before production.
Launch and monitor
go-live with accuracy, cost, and latency monitoring, and iteration on real failures.

Why Omer

Why hire Omer

15+ years of engineering experience across Phaedra Solutions, Integriti, Napollo, Nabidios, and EverestX.
Senior Senior LLM Application Developer for Canada — llm application developer work delivered for Canada market conditions: eastern time overlap for live collaboration; pacific time covered by agreed windows and async handoffs..
100+ projects delivered, $25M+ in client revenue enabled across 6 countries.
Operator background — ran day-to-day ops for Nello, a drink brand, so unit economics shape the build, not just the feature list.
One senior owner — direct access, no account-manager layers between you and the work.

FAQ

Questions, answered

Do we need fine-tuning?

Usually not at first. Retrieval grounding and good prompting solve most business cases; fine-tuning enters the picture only when evaluation shows a gap retrieval cannot close — and then it is scoped with its own test set.

Who owns our data?

You do. Documents stay in your infrastructure or your approved provider, and nothing is used for model training without your written agreement.

How do you handle hallucinations?

Grounding in your documents, citations, structured outputs, and human review for high-stakes cases. Accuracy is measured on your test set, not asserted.

What hours do you overlap with Canada?

Eastern Time mornings in Toronto, Ottawa, and Montreal overlap with late afternoons in Dubai, which covers standups, reviews, and launch windows. Pacific Time work in Vancouver runs on agreed early windows plus structured async handoffs, so nothing waits overnight without a written update.

How do Canadian tax and privacy rules affect the work?

Where the build touches money or data, I configure for GST/HST plus provincial PST in BC and Saskatchewan and QST in Quebec, and I handle personal data in line with PIPEDA. Tax opinions and legal positions stay with your Canadian accountant or counsel — I implement what they confirm.

Currently available for select engagements

Ready to get started?

The best way to explore working together is a quick conversation. Reach out through your preferred channel and let us discuss your project.

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