AI ENGINEER · SYDNEY, AUSTRALIA

Bisar UlHasan

I build AI products end-to-end — from first prototype to a system running in production. I help founders turn an AI idea into something that ships.

Book my 30-min intro call See my work

Focus: AI products · 0→1
Stack: LLMs · RAG · Agents
Now: Available for projects

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LLMs/RAG Pipelines/Multi-agent/LangGraph/LangChain/MCP/Vector Search/Fine-tuning/FastAPI/PyTorch/Evaluation/Prompt Engineering/Vercel/Supabase/Docker/Python/LLMs/RAG Pipelines/Multi-agent/LangGraph/LangChain/MCP/Vector Search/Fine-tuning/FastAPI/PyTorch/Evaluation/Prompt Engineering/Vercel/Supabase/Docker/Python/

01 / About

I take AI products from prototype to production.

Founding engineer0→1 builderProduction-gradeShips fast

I am an AI Engineer in Sydney who builds production AI products end-to-end — LLMs, multi-agent systems, RAG, and the data pipelines underneath them. I was a founding engineer at a speech-AI startup, where I led the engineering team as it grew from a small founding group into a full company, shipping production text-to-speech for enterprise clients.

Today I drive AI adoption inside an organisation, where the work is judged not by demos but by systems people depend on every day. The throughline is the same: take an AI idea, build it properly, measure it, and put it into production.

02 / Work with me

Got an AI product to build? Let's ship it.

I work with founders and teams who want real AI in their product — working in production, not just in a demo.

Scope

We pin down the highest-value thing to build and agree on what “good” looks like.

Build

I design and build the system end-to-end: data, models and LLMs, evaluation, and the product around it.

Ship

It goes live with quality measured, and your team able to run it.

Best fit: founders and SMBs with an AI idea — or a half-built one — that needs to actually work.

Book my 30-min intro call

03 / Work

Real systems, shipped.

Problem, build, outcome — no fluff.

RAG / PRODUCTION01

Teaching Assistant Bot

Problem: Staff needed fast, trustworthy answers from a large, messy body of school documents, without sending anything to a third-party cloud.
Built: A production RAG system with hybrid retrieval, cross-encoder reranking, citation enforcement, and a CI-gated evaluation pipeline so quality is checked on every change. Runs locally on open-source models with a cloud fallback.
Outcome: Source-cited answers people can trust, with retrieval quality measured on a golden evaluation set rather than guessed at.

PythonLangChainWeaviateOllamaCohereRAGASGitHub Actions

View on GitHub

DOCUMENT AI02

Teaching Program Automation

Problem: Writing teaching programs across the school's full subject list was slow, repetitive, and ate weeks of staff time.
Built: An AI document-processing pipeline that drafts programs from source material and structures them to the required format, leaving staff to review rather than write from scratch.
Outcome: Turned a multi-week manual job into a review-only workflow, across the whole subject list.

PythonPlaywrightLLMs

MULTI-AGENT03

Meeting Minutes Pipeline

Problem: Turning raw meeting transcripts into clean, formatted minutes by hand was tedious and easy to get behind on.
Built: A three-agent pipeline — transcript processor, minutes writer using Anthropic tool calling, and document generator — exposed via a FastAPI webhook with async background execution.
Outcome: Raw transcripts become formatted Word minutes automatically, with a person only in the loop to approve.

PythonFastAPIAnthropicMulti-agent

04 / Testimonials

What people I've led and worked with say

I founded Scribe Audio and brought Bisar on early … In a small team you find out quickly who you can actually depend on, and Bisar was one of those people. … I could give Bisar a problem and stop worrying about it. He'd tell me straight if something wasn't going to work, fix what needed fixing, and keep the rest of the team unblocked. … I'd hire him again tomorrow. Any team building serious AI products should talk to him.

Ali Zia Khan

Founder, Scribe Audio · AI/ML Engineer

Managed Bisar directly

Read them on LinkedIn →

05 / Consulting

What you can hire me for

Three ways we can work together. Each one ends with a working system in production — not a slide deck.

Build your AI product end-to-end

You have an AI idea — or a half-built one. I take it from scope to shipped: data, LLMs, evaluation, and the product around it.

Shipped: Production text-to-speech shipped for enterprise audiobook clients at Scribe Audio.

An assistant that knows your business

An AI assistant that answers from your own documents, with sources people can check and answer quality that is measured, not guessed at.

Shipped: A production RAG assistant with source-cited answers and retrieval quality measured on a golden set.

Automate the work that eats your week

The slow, repetitive tasks your team does by hand — documents, reports, minutes — turned into AI pipelines where a person only reviews.

Shipped: A multi-week program-writing job turned into a review-only workflow.

Not sure which one fits? That's what the first call is for — 30 minutes, and we'll find the highest-value thing to build.

Book my 30-min intro call

06 / Contact

Let's build your AI product.

If you're a founder or team with an AI product to build — or an idea that needs to become one — I'd like to hear about it. Available for select projects now.

What happens next

Pick a time
30 minutes, booked straight into my calendar.
We talk it through
Your idea, where it stands, and the highest-value thing to build first.
You decide
If it's a fit, we scope the build — what we make first and what “good” looks like. If not, that's fine.

Book my 30-min intro call bisar1000@gmail.com

in/bisarhasan bisarulhasan @bisarulhasan @bisarhasan