Open to opportunities

Aziz Taamalli

@aziztaamalli

Message

Backend engineer shipping production systems end-to-end with Python/FastAPI and async infrastructure.

Tunisia

Message

What I'm looking for

I’m looking to build and ship production-grade backend and infrastructure—Python/FastAPI, async systems, and strong observability—on teams that value end-to-end delivery, security (auth/encryption), and measurable reliability.

I’m a backend engineer with 2+ years building and shipping production systems end-to-end. I specialize in Python/FastAPI services on PostgreSQL with async architecture, authentication, encryption, and observability—turning product requirements into secure, reliable APIs.

I’ve followed a founder-engineer track across three live products, including a session-delegation infrastructure for AI agents, validated end-to-end by an external integration partner. Whether it’s designing cryptographically-auditable session flows, delivering ML-backed REST APIs, or scaling data pipelines, I focus on end-to-end delivery, strong testing, and systems that hold up in production.

Experience

Work history, roles, and key accomplishments

Current

Founding Engineer — Delegate

Current

Delegate

Feb 2026 - Present (4 months)

Designed and shipped a session-delegation infrastructure enabling AI agents to access human-only web portals via cryptographically auditable Playwright sessions. Built a FastAPI control plane with TOTP-2FA, AES-256-GCM encrypted session storage, and a signed audit chain, then validated end-to-end with an external partner and fixed a session read-path gap.

Python fastAPI Playwright PostgreSQL AES 256 GCM 2FA TypeScript

Founding Engineer — Salonly

Salonly

Aug 2025 - Jan 2026 (5 months)

Built and deployed a WhatsApp-native AI receptionist for beauty salons (French + Tunisian Arabic) covering bookings, FAQ, and client triage. Owned product-led sales from cold outreach to a trial, reaching a paying-equivalent customer at 70 TND/month.

Python Supabase Postgres Edge Functions Product Led Growth

ML Engineer Intern

Carbon Insights

Jan 2025 - May 2025 (4 months)

Built a serverless data-extraction pipeline on AWS to process EU-ETS company emissions data at scale. Trained and evaluated an EU-ETS carbon-emission prediction model, then delivered it as a REST API plus a dashboard to support client reporting workflows.

Python AWS Lambda scikit learn fastAPI REST APIs Data Pipelines Serverless Architecture Dashboarding

AI Intern

Ozeol

Jun 2024 - Aug 2024 (2 months)

Developed and deployed an ML classification model to prioritize supplier outreach across the company’s account database. Built a training pipeline and inference API, integrating the results into the internal sales workflow.

Machine Learning Classification Python API Integration Data Integration API Engineering Sales Workflow Integration