AI transformation · Engineering leadership

AI that ships.
Governance that scales.

I lead AI adoption, agentic SDLC governance, and cloud-native engineering teams that turn emerging technology into reliable products and measurable operational value.

Explore selected work Start a conversation

Aley, Lebanon · Working across distributed teams

Portrait of Amer Jaber — Current focusAgentic delivery
with accountable control.

16+Years in software
and systems delivery

10×Measured response-time
improvement

AIAdoption, governance,
and applied products

AzureCloud-native architecture
with .NET depth

Selected work

Evidence over adjectives.

Four stories at the intersection of AI, operating models, cloud platforms, and engineering outcomes.

AI transformation · Engineering operating model

Agentic SDLC governance

Turning coding-agent ambition into a controlled engineering system that teams can trust, inspect, and improve.

Plan → ProveLifecycle control

Applied AI · Regulated workflow

Healthcare AI workflow

Connecting external healthcare AI capabilities to a cloud-native workflow platform in NHS and hospital contexts.

AI → ActionWorkflow integration

Performance engineering · Product modernization

SmartTime product rescue

Stabilizing a legacy legal-technology product while opening a credible path to cloud-first architecture.

10×Response improvement

Applied AI · Retail intelligence

Computer vision loyalty

Using computer vision and event-driven cloud services to make loyalty recognition work without a physical card.

See → ServeEvent-driven value

Operating model

From possibility
to proof.

AI transformation works when the technology, delivery system, controls, and evidence evolve together.

Adopt

Move AI from isolated experimentation into the everyday engineering system.

Govern

Design guardrails, validation, escalation, and evidence around real delivery work.

Deliver

Connect cloud architecture, product judgment, and team execution to ship reliably.

Prove

Measure what changed and make the result legible to engineers, leaders, and auditors.

About

I work where ambitious technology meets the discipline required to make it useful.

I’m a software engineering manager and hands-on architecture leader with a long Microsoft-stack foundation and a current focus on responsible AI-enabled delivery.

My work spans engineering leadership, cloud-native SaaS, healthcare workflow, legal technology, product rescue, and applied AI. Across each context, the pattern is the same: understand the system, simplify the decisions, and help teams ship with confidence.

Experience

A progression from code to operating systems.

2022—Now

BigHand

Software Engineering Manager · Software Engineering Lead

Leading AI adoption, agentic SDLC governance, and multiple cloud-native workflow engineering teams across legal and healthcare products.

2021—2022

Iridium Technology

Developer / Consultant

Owned a legal-technology product rescue, performance transformation, and parallel Azure modernization initiative.

2019—2023

KueMinds

Co-Founder · Principal Engineer

Built AI-powered, event-driven products spanning computer vision, retail intelligence, ERP integration, mobile, and web.

2009—2019

CCC

Software Project Manager · Engineering progression

Progressed from junior developer to project manager while building enterprise workflow, forms, BPM, and project-completion systems.

Credentials

Current signals.
Deep foundation.

2026Microsoft Certified: AI Transformation Leader
2026GitHub Copilot Certification
2024Microsoft Certified: Azure Fundamentals
2008BSc, Computer Science

What’s next

Building an AI operating model—or the product that proves it?

Let’s talk

AI that ships.Governance that scales.