I build systems that automate daily operations

What I build into operations

Decision Systems
API & Integrations
AI Agents
Internal Tools
Monitoring
Production Systems
Security & Reliability
DECISION LAYER

Takes messy signals — alerts, logs, events — and turns them into clear priorities, explanations, and next steps.

PRIORITIZATION SIGNAL FILTERING ROOT CAUSE LOGIC DECISION FLOWS FAILSAFE DESIGN
CONNECTED SYSTEMS

Systems stop operating in fragments — data moves between them, context is preserved, and actions happen where they should.

REST APIS WEBHOOKS DATA SYNC AUTH FLOWS SECURE FLOWS
OPERATIONAL INTELLIGENCE

AI is used where judgment helps — to analyze messy inputs, explain what matters, and support the right next action.

DATA ANALYSIS DECISION SUPPORT LLM TOOLS AI REASONING ACTION TRIGGERS
TEAM SYSTEMS

Internal tools that help teams see the real state of operations, understand what needs attention, and act without losing context.

DASHBOARDS WORKFLOW UI DATA VIEWS ROLE ACCESS PERMISSION LOGIC
REAL-TIME VISIBILITY

Live signals become usable visibility — not just more dashboards, but clearer understanding of what is happening right now.

LIVE ALERTS LOG ANALYSIS PATTERN DETECTION UPTIME DASHBOARDS
END-TO-END SYSTEMS

Full systems built to support real operational flow — from incoming input, through logic, to controlled output and action.

FULL STACK CI/CD END-TO-END DEPLOYMENT ERROR HANDLING
TRUSTED SYSTEMS

Systems built to behave well under real usage — handling data safely, recovering from failure, and staying reliable when complexity grows.

ACCESS CONTROL DATA VALIDATION FAILURE HANDLING AUDIT LOGS
Signals In
Events, logs, alerts
Analysis
Priority & meaning
Action
Next step surfaced
Source
External or internal system
Sync
Context moves correctly
Action
System update
Input
Messy operational data
Reasoning
AI-assisted understanding
Output
Suggested or triggered action
Input
User or system event
View
Shared operational context
Action
Faster response
Signals
Live streams
Detection
What changed and why
Alert
Actionable notification
Input
User or system event
Logic
Core business rules
Output
Controlled execution
Input
Data & users
Validation
Rules & recovery
Safe Action
Reliable result

Where this usually starts to show

Business situations

Situations where things are already happening — but nobody can clearly explain why, what matters, or what should happen next.

There is data everywhere — but no clear next step

Dashboards exist, reports are available, and numbers are visible — but it’s still unclear what actually needs attention right now.

Visibility without action still creates noise.

Too many alerts — but not enough meaning

Systems generate alerts, warnings, and notifications all day long, but teams still have to manually figure out which ones matter, what caused them, and what should be done first.

More alerts do not create better decisions.

Something breaks — but nobody knows why

Orders, transactions, or internal flows stop moving. You can see the problem, but explaining it takes digging through logs, states, and multiple systems.

When it takes time to explain, it takes time to fix.

People are working without the full picture

Information is spread across tools, chats, and systems. People respond based on fragments instead of seeing what’s really going on.

When no one sees the full picture, decisions get weaker.

What worked at a small scale no longer works

As volume grows, more events, more customers, and more systems create more noise. What used to be manageable by instinct now needs structure, logic, and clearer prioritization.

Growth exposes weak operational visibility.

What changes

After working together

Less noise — more clarity
Problems surface earlier
Clear priorities
Teams know what needs attention
Better decisions
Action follows context, not guesswork

Faster response. Lower friction. Stronger operations.

You probably need this if

Things break — and it takes too long to understand why

You have alerts, dashboards, logs — but still guess what to do

Work depends on specific people knowing what’s going on

Decisions are slow because context is missing

What used to work doesn’t scale anymore

How I work

Step 01

Understand the operation

Map the real flow, the systems involved, and where signals turn into confusion.

Step 02

Find what actually matters

Identify what is actually breaking, unclear, or being missed — and where better logic changes outcomes.

Step 03

Build the system

Turn messy inputs into something structured, explainable, and actionable — then improve it over time.

Selected Projects

Systems built to make operations clearer and more actionable.

10+
Years in systems
4
Companies
100+
Flows improved

Experience

2022–2025 Applitest
Automation Specialist & Group Leader Scale

Led customer-facing automation initiatives and offshore teams — replacing manual QA with production automation systems that ran reliably at scale.

2020–2022 Camilyo
Automation Team Leader Automation

Built and integrated automation into CI/CD — reducing manual testing and enabling faster, more reliable releases.

2013–2020 Amadeus Israel
System QA & API Automation Systems

Worked deep in production systems — debugging logs, data flows, and business logic — turning critical failures into stable, reliable flows.

2011–2013 Fanzila
QA Lead QA

Established QA processes that supported consistent product delivery across web systems.

About

The problem usually is not the dashboard. It is the lack of clarity around what matters.

I’ve seen this from the inside — systems that technically work, but nobody really trusts. I build systems that make them clear and reliable again.

Let’s build

Tell me what is noisy, unclear, or breaking down

There’s a lot happening, but it’s not always clear what matters, or what to do next.
I help turn that into something clear and reliable.

Based in Israel · working remotely

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