Software Engineering
I redesign the systemslimiting growth.
Senior Systems Builder for AI agents, SaaS, automation and complex software.
13+ years building production systemsOperating record / independently verifiable
The record behind
the work.
Formal training, public performance records and 13+ years of production delivery. The important claims remain one click from their source.
Top Rated Plus performer
Upwork Job Success
Building production software
Selected work, public contributions and production delivery
Evidence,
not theatre.
Different relationships. One standard: understand the constraint, own the difficult part and leave the system stronger.
Live homepage capture · July 2026Catalogue-grounded product discovery
A scoped discovery feature that translates an uncertain shopping brief into structured suggestions grounded in a large retail catalogue.
Production issue resolution in a large active codebase
A focused engineering engagement completed with a five-star public Upwork record.
Official documentation capture · July 2026Agent tooling contribution
Two merged public contributions improving tool naming and multi-agent realtime dispatch behavior.
Official product visual · July 2026Learning platform systems
A multi-role learning platform connecting administrators, teachers, students and parents through coordinated access, content and operational workflows.
Live site capture · July 2026Evidence-led AI services marketplace
A public marketplace and agent-facing registry for discovering skills, prompts, workflows and agent control planes through inspectable evidence rather than opaque recommendations.
Live site capture · July 2026Governed multi-agent operations platform
A unified platform for configuring, grounding, deploying and monitoring specialist AI agents across customer, revenue, voice and background workflows.
Capabilities / the working set
Systems with
consequence.
Architecture is not a diagram. It is the set of decisions that determines whether the next change takes a day—or a quarter.
Practice 1 / 3
AI & agentic systems
Intelligence that can use tools, respect boundaries and improve under observation.
- Production assistants
- Agent workflows
- RAG & retrieval
- Evaluation loops
- Tool orchestration
- Cost and latency control
Practice 2 / 3
SaaS & platform architecture
Software foundations that make reliability and future change less expensive.
- Platform modernization
- Multi-tenant systems
- Complex integrations
- Reliability engineering
- Technical audits
- Production hardening
Practice 3 / 3
Automation & business systems
Operational systems that connect software, data and human judgment.
- Workflow automation
- Cross-system integration
- Internal tools
- Data synchronization
- Human-in-the-loop design
- Custom platforms
Best fit / where senior ownership compounds
The right problem
changes everything.
Established SaaS, e-commerce, education and service businesses dealing with fragmented software, stalled platforms, unreliable integrations or AI initiatives that need senior production ownership.
- A system already exists but has become difficult to change.
- Several tools need to behave like one operation.
- AI must work inside real business constraints.
- The project needs architecture and execution from the same senior person.
- Speculative prototypes without an operating need.
- Commodity landing pages or basic websites.
- Undefined products with no decision-maker.
- Engagements based primarily on the lowest hourly rate.
Engagements / clear ways to begin
Start with a
defined move.
Each engagement has a clear decision boundary, useful output and direct senior ownership.
Systems Diagnostic
A fixed-scope examination of architecture, workflows, bottlenecks and failure risks.
Build or Modernize
Architecture and production implementation for an AI system, SaaS platform, integration or operational workflow.
Embedded Technical Leadership
Senior architecture and execution ownership for teams that need direction without immediately hiring a full-time technical leader.
Method / operating doctrine
Movement,
under control.
The work moves through three chambers. Each one removes a different kind of risk.
Clarity
Find the actual constraint before writing the expensive answer.
- Map the current system
- Identify leverage
- Define measurable success
Architecture
Design boundaries that make reliability and future change affordable.
- Reduce unnecessary complexity
- Plan failure modes
- Protect the next change
Execution
Ship, instrument and stabilize the system in the real environment.
- Production-quality delivery
- Observation and feedback
- Useful knowledge transfer
About / the accountable human
Oussama Zeddam
The engineer
behind MAV.
I started coding in 2008 and began working professionally in software engineering in 2013. My formal foundation includes a master’s degree in Software Engineering from Arizona State University. Since then, I have built across full-stack products, SaaS platforms, AI systems and the operational infrastructure around them.
Today I work from Algiers with international companies that need a senior builder to make a difficult system legible—and then ship it.
Master’s degree — Software Engineering
Formal training in software architecture, engineering discipline and the design of maintainable systems.
Verified credential
Verified profile portrait / 2026Contact / qualify the system
Coordinates established
Bring me the system
that is slowing you down.
Describe what is fragmented, unreliable or difficult to scale. I will tell you whether I am the right person to rebuild it.
- Direct senior review
- Clear fit assessment
- No sales handoff






