01
Production RAG pipeline
Grounded internal assistants on company data — zero critical data leaks.
PythonpgvectorMCPGuardrails
Saad Bhutto · AI-Native Tech Lead · Melbourne, open to remote
Full-stackengineer.AI-nativetechlead.Ishipagents,RAGpipelinesandMCPinfrastructuretoproduction.
10+ years across TypeScript, Python, PHP/Laravel and AWS — now building RAG pipelines, AI agents and MCP infrastructure, and leading engineering teams to ship them. Based in Melbourne, open to remote.
The stack I've shipped with
- Python
- TypeScript
- JavaScript
- PHP
- Laravel
- React
- Next.js
- Vue.js
- Node.js
- Tailwind CSS
- AWS
- Cloudflare
- Google Cloud
- Docker
- GitHub Actions
- GitLab
- PostgreSQL
- MySQL
- Redis
- Elasticsearch
- GraphQL
- BigQuery
- Anthropic Claude
- Algolia
- Supabase
- Firebase
- Datadog
- Storybook
- Cypress
SELECTED WORK
Systems I've shipped to production.
02
AI recommendation engine
~30% checkout conversion uplift, owned end-to-end.
TypeScriptLaravelAWS PersonalizeAlgolia
03
Multi-agent competitive intelligence
Automated daily competitor digest via Slack & email.
Cloudflare WorkersSupabaseAgents
04
Internal MCP developer tooling
Automated code review, research docs & boilerplate across squads.
Laravel AI SDKMCP servers
ABOUT
I lead from inside the codebase.
I'm Saad — an AI-native tech lead and senior full-stack engineer with 10+ years shipping products across e-commerce, SaaS and travel tech. I led a nine-engineer squad through 2× growth with no drop in quality or velocity.
I stay hands-on: production RAG pipelines, agentic systems and MCP servers on one side; TypeScript, Python and PHP/Laravel on AWS and Cloudflare on the other. I measure success in business outcomes — a ~30% conversion lift, 60% faster incident recovery — not just clean code.
- Based in
- Melbourne, VIC
- Experience
- 10+ years
- Availability
- Full-time / remote
EXPERIENCE
Teams & brands I've built for.
THE COMBINATION
Mostengineerspickalane.Iworkacrossallthree.
| MeAI-Native Tech Lead | AI specialist | Engineering manager | |
|---|---|---|---|
| Ships production code | Daily — full-stack | Models, not products | Reviews, rarely writes |
| Leads & grows teams | Led 9, through 2× growth | Individual contributor | Yes |
| Production AI / LLM systems | RAG, agents, MCP | Yes | Rarely hands-on |
| Owns business outcomes | +30% conversion, 60% MTTR | Model metrics | Team metrics |
WHAT I DO
Where I create the most leverage for a team.
01
AI Agents & Agentic Systems
Multi-step agents with tool and function calling, orchestrated on Cloudflare Workers and AWS Bedrock.
02
RAG & MCP Infrastructure
Production retrieval over pgvector and custom MCP servers that wire your data and tools into LLM workflows — with guardrails and audit logging.
03
Full-Stack Product Engineering
End-to-end delivery in TypeScript, React/Next.js, Python and PHP/Laravel on AWS — from database schema to shipped UI.
04
Engineering Leadership
Leading and growing teams, design reviews, and rolling out responsible-AI practices org-wide — without slowing delivery.
IMPACT
Proof, not promises.
~30%
checkout conversion uplift — AI recommendation engine, owned end-to-end
60%
faster incident recovery (MTTR) — Datadog APM + GitHub Actions
45%
database load reduction — caching & query optimisation at scale
2×
team growth led to 9 engineers — zero quality or velocity regression
1st
place — company-wide AI Developer Competition
10+
years shipping full-stack — Python, TypeScript, PHP/Laravel, AWS
INTEGRATIONS
Connected to the tools teams already run on.
Let's talk
Let'sbuildsomethingexceptional.
Hiring an AI-native tech lead, or need a senior engineer who ships? Tell me what you're working on — I read every message.