Raphael Samy - Senior Software Consultant

AI-native fractional CTO, taking new engagements

Fractional CTO.AI-native.Hands-on.

I lead engineering and I still ship. Sixteen years across infrastructure, backend, platform and applied AI, and an AI-native way of working: coding agents orchestrated under strict type, lint and test gates, every gate verified by me. The result is enterprise-grade systems delivered in weeks, not quarters, with the structure and design to last.

What I Build Book a Consultation arrow_outward

Battle-tested across company stages

rocket_launchUnicorn Startup

publicInternational Enterprise

account_balanceUS Fintech

delivery.py

async def ship(product):
  spec = architect(product)
  build = await agents.run(
    spec, gates=["types", "lint", "tests"]
  )
  return me.verify(build)  # every gate

Shipped recently, solo, AI-native

Products built end to end, from architecture to production, by one engineer orchestrating coding agents. Enterprise-grade structure on every one of them.

Clients anonymised

card_membership

Membership platform

Subscriptions, payment-gateway integration, member portal, contract migration and back-office for a multi-unit healthcare group.

FastAPI
Next.js
PostgreSQL
Payment gateway

campaign

Operations back-office

Mass e-mail campaigns with segmentation, suppression and click tracking, plus an Instagram DM agent that takes reservations.

FastAPI
Next.js
Mailgun
Meta Graph API

mic

Voice-to-clinical-notes POC

Local speech recognition, speaker identification by voice fingerprint and LLM-generated clinical notes, running on a laptop.

Parakeet ASR
pgvector
FastAPI
LLM

database

Data-extraction SDKs

Two reverse-engineered SDKs that pull a company's own data out of SaaS tools with no public API, feeding a warehouse and BI dashboards.

Python
httpx
DuckDB
Superset

shield

AI fraud-review platform

Python backend, React analyst app and an autonomous research gateway. The risk score is computed deterministically in code, never by the model.

FastAPI
React
Kubernetes
Datadog

rocket_launch

Self-hosted delivery pipeline

One Docker, GitHub Actions and reverse-proxy pattern that deploys every product above to QA and production with automated releases.

Docker
GitHub Actions
nginx
release-please

What I Build and Lead
for Your Engineering Team

From a one-week diagnostic to owning delivery as your fractional CTO. Every engagement is scoped, hands-on, and run the AI-native way.

Start a Conversation arrow_forward

rocket_launch

AI-Accelerated Build

I architect the system, then orchestrate coding agents to implement it under strict type, lint and test gates, and personally verify every gate. Python and FastAPI backends, Next.js frontends, data pipelines, CI/CD: production-grade, hexagonal, documented.

FastAPI / Next.js / PostgreSQL
Agent-orchestrated delivery
Tested, documented, handed over

smart_toy

AI-Native Engineering Org

Make your team AI-native without losing control: agent workflows, review gates, guardrails, and the governance that keeps a model from owning a decision it shouldn't. Plus the LLM features that actually pay off in your product.

Agent workflows & guardrails
LLM use-case evaluation
RAG & workflow automation

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Technical Diagnostic

A thorough audit of your architecture, infrastructure, and engineering processes. I identify bottlenecks, risks, and quick wins — then deliver a prioritized action plan.

Architecture & Code Review
Performance Bottleneck Analysis
Cloud Cost Optimization

route

Strategic Roadmap

Translate business goals into a concrete engineering plan. From cloud migration strategies to team scaling — a roadmap you can actually execute on.

Migration Planning
Build vs. Buy Decisions
Technology Selection

monitoring

Observability Setup

You can't fix what you can't see. I implement full-stack observability with Datadog or New Relic — APM, logging, alerting, and SLO design across your entire platform.

Datadog / New Relic
SLO/SLA Design
Incident Response Playbooks

groups

Fractional CTO

Engineering leadership that still ships. I set architecture standards, run the review board, structure hiring, and stay hands-on in the code so every decision is grounded in what is actually being built.

Architecture standards & ADRs
Hiring & team structure
Hands-on, not slides

Why Companies Trust Me

Most consultants either advise from the sidelines or code without context. I do both, with scars from every company stage, and now with AI agents that multiply what one senior engineer can ship.

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Operator, Not Observer

I've lived the pain. Scaled 100+ microservices at a unicorn startup. Migrated across AWS, GCP and OCI with zero downtime. Built an AI fraud-review platform end to end as sole engineer, taking its pipeline from zero to 884 automated tests. When I audit or build your systems, I know what to look for because I've broken and fixed these things myself.

# Companies I've built inside:

stages = {
"unicorn_startup": 132 services,
"intl_enterprise": GenAI R&D,
"us_fintech": AI-accelerated SDLC
}

lightbulb

Strategic, Not Just Technical

Technology decisions are business decisions. As a former Tech Manager, I think in terms of ROI, team velocity, and operational risk — not just which framework is trendy. I help you prioritize what actually moves the needle and skip what doesn't.

search_insightsFind the real bottleneck, not the obvious one

priority_highPrioritize by business impact, not tech debt score

handshakeAgents write, I verify: every gate, every time

speedQuick wins first, then structural improvements

How Engagements Work

Remote. Async. Defined scope. Guaranteed results. Every engagement follows a clear process from first call to final handoff.

1. Discovery Call

A free 30-minute call to understand your challenges, team structure, and goals. No pitch — just clarity on whether we're a good fit.

2. Diagnostic & Proposal

I deliver a scoped proposal with clear deliverables, timeline, and guaranteed outcomes. You know exactly what you're getting before we start.

3. Engagement

Whether it's a one-week audit, a fractional CTO arrangement, or a multi-month build — I work fully remote and async, embedded with your team on a defined contract.

4. Handoff & Ownership

Every engagement ends with full documentation, team training, and a clean handoff. Your team owns the solution — no vendor lock-in, no dependencies on me.