About Mohamed Sheriff
A career built across technology, data, leadership, consulting, and practical problem-solving.
Mohamed Sheriff brings together experience in software, databases, business intelligence, telecommunications, executive leadership, entrepreneurship, and AI-assisted product development.
Professional foundation
Technology has been the connecting thread throughout my professional journey.
My work has moved across software development, databases, data quality, systems integration, technology consulting, telecommunications operations, organizational leadership, and business management.
Those experiences shaped a practical view of technology: successful systems must support real people, clear responsibilities, reliable information, operational priorities, and measurable organizational needs.
Today, I apply that foundation to AI strategy, workflow automation, product planning, data, documentation, and the development of structured technology solutions.
Professional journey
From technical implementation to organizational leadership.
Each stage of the journey added a different perspective on how technology decisions affect operations, stakeholders, employees, customers, risk, and long-term execution.
Software and databases
Building a technical foundation
Early work in software, databases, reporting, business intelligence, and systems established a detailed understanding of how applications and organizational data support daily operations.
Consulting and integration
Connecting business needs to technology
Consulting and systems-integration work strengthened the ability to translate stakeholder needs into technical requirements, structured workflows, data rules, and implementation decisions.
Telecommunications
Working with operational infrastructure
Technology-management and telecommunications responsibilities added experience with infrastructure, service continuity, institutional priorities, operational risk, and multi-stakeholder coordination.
Executive leadership
Leading beyond the technology department
Executive responsibility expanded the focus to organizational strategy, governance, finance, stakeholders, people, infrastructure priorities, accountability, and institutional outcomes.
Entrepreneurship and AI
Turning ideas into structured products
Through Anunnaki Technology Solutions LLC, current work focuses on AI, automation, SaaS products, media systems, education, and community-platform initiatives.
Working principles
A disciplined approach to technology and AI.
- 01
Begin with the problem
Technology selection should follow a clear understanding of the current process, stakeholders, constraints, risks, and desired outcome.
- 02
Make decisions visible
Requirements, workflows, assumptions, priorities, acceptance criteria, and architectural choices should be documented clearly.
- 03
Treat data as infrastructure
Automation and AI depend on data quality, ownership, definitions, access, structure, and responsible use.
- 04
Design for adoption
A technically capable system still needs understandable workflows, responsible ownership, training, support, and stakeholder participation.
Leadership perspective
Technology decisions are also operational and organizational decisions.
Executive and technology-management experience reinforced that implementation does not happen in isolation. Budgets, policies, people, risk, institutional priorities, public expectations, and operational realities all influence what can succeed.
This perspective supports conversations with both technical and nontechnical stakeholders and helps keep technology work connected to organizational purpose.
Anunnaki Technology Solutions LLC
A company created to explore and build practical solutions.
Founded in 2023, Anunnaki Technology Solutions LLC provides the organizational foundation for Mohamed Sheriff’s consulting, research, product-planning, AI, automation, media, education, and community-technology initiatives.
AI and workflow automation
Assessing opportunities and planning practical systems that reduce repetitive work or improve service delivery.
SaaS and product planning
Turning early ideas into product charters, MVP scopes, requirements, roadmaps, workflows, and acceptance criteria.
Data and decision support
Improving the organization, quality, reporting, and usefulness of operational information.
Education, media, and community platforms
Developing structured initiatives that support learning, communication, cultural connection, and digital participation.