Professional Experience

Experience connecting software, data, telecommunications, leadership, consulting, and entrepreneurship.

Mohamed Sheriff’s professional journey spans technical implementation, database development, data quality, systems integration, telecommunications operations, executive leadership, business management, and founder-led AI product development.

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Career overview

A professional foundation built across both technical delivery and organizational leadership.

The early technical foundation included software development, Oracle and SQL database work, enterprise applications, reporting, business intelligence, ETL, data integration, systems support, and data-quality improvement.

Consulting responsibilities strengthened the ability to translate operational needs into technical requirements, validation rules, migration processes, reporting structures, and implementation decisions.

Telecommunications-management and executive roles expanded that perspective to include institutional strategy, infrastructure priorities, governance, stakeholders, finance, organizational risk, service continuity, and public accountability.

Today, those experiences support founder-led work in AI strategy, workflow automation, SaaS product planning, data, media systems, education, and community technology.

Selected experience

A career progressing from technical systems work to consulting, executive leadership, and product development.

The chronology below emphasizes verified responsibilities and professional themes. Dates are included only where they have been confirmed.

November 2023 — Present

Entrepreneurship, AI, and Product Development

Founder, Owner, and Solutions Builder

Anunnaki Technology Solutions LLC

Delaware, Ohio, United States

Leading the development of AI, automation, SaaS, media, education, data, and community-technology initiatives through structured product planning and AI-assisted implementation.

Responsibilities

Define product vision, target users, business problems, and solution scope
Develop product charters, requirements, roadmaps, workflows, and acceptance criteria
Coordinate AI-assisted research, software development, documentation, and testing
Plan multi-tenant SaaS architectures and operational workflows
Establish engineering, security, documentation, and AI-agent working standards

Selected highlights

AI Front Desk Platform
Global Diaspora Nexus
Automated AI Media Factory
Sheriff AI OS
AI Studio Academy
Africa Future Nexus

October 2018 — June 2022

Database Consulting and Data Modernization

Senior Database Developer Consultant

Futurecom Ltd

Freetown, Sierra Leone

Supported a national pension-system data-cleaning and migration initiative through database development, validation, reporting, analysis, and structured data-quality improvement.

Responsibilities

Analyze source data and identify quality, completeness, and consistency problems
Develop SQL and database procedures supporting validation and correction
Define and apply data-cleaning and migration rules
Produce reports supporting reconciliation and decision-making
Coordinate technical findings with project and business stakeholders

Selected highlights

National pension-system data-cleaning initiative
Migration-readiness support
Database validation and reconciliation
Data-quality reporting
Structured consulting delivery

Executive Leadership

Telecommunications and Executive Management

Chief Executive Officer and Managing Director

Sierra Leone Cable Limited

Sierra Leone

Led organizational operations, institutional strategy, stakeholders, infrastructure priorities, governance, risk, and management responsibilities within a national telecommunications environment.

Responsibilities

Provide executive leadership and organizational direction
Coordinate institutional priorities and stakeholder relationships
Oversee operational, infrastructure, financial, and governance concerns
Support service continuity and national telecommunications objectives
Connect technical decisions with organizational and public responsibilities

Selected highlights

Executive and board-level responsibility
Telecommunications-infrastructure leadership
Institutional coordination
Operational and strategic management
Stakeholder and governance oversight

Telecommunications Management

Technology Operations and Telecommunications

Information Technology Manager

SierraTel

Sierra Leone

Managed information-technology responsibilities within a telecommunications environment, connecting enterprise systems, technology operations, infrastructure, users, and organizational priorities.

Responsibilities

Support organizational information systems and technology operations
Coordinate technical teams, systems, and operational priorities
Contribute to infrastructure and service-continuity planning
Translate business requirements into technology-management decisions
Support users, stakeholders, and institutional operations

Selected highlights

Enterprise technology management
Telecommunications operations
Infrastructure coordination
Systems and user support
Operational leadership

Earlier Technical Career

Software, Data, and Systems Integration

Software, Database, and Business Intelligence Professional

Enterprise and Consulting Environments

Built a technical foundation through software development, database systems, enterprise applications, business intelligence, reporting, ETL, integration, and data-quality work.

Responsibilities

Develop and support database-driven applications
Write SQL and database procedures
Support enterprise reporting and business intelligence
Develop data-integration and ETL processes
Analyze system and data-quality problems
Support implementation, testing, and technical documentation

Selected highlights

Oracle and SQL development
Enterprise applications
Business intelligence and reporting
ETL and systems integration
Data quality and validation

Education and professional development

Technical, business, and analytical education supporting multidisciplinary work.

The academic background combines computer science, technology management, data science, business analytics, and continued AI-assisted product development.

Professional Certificate in Data Science and Business Analytics

MIT

2024

Professional development covering data science, analytics, statistical reasoning, machine learning concepts, and data-informed business decision-making.

Master of Business Administration

Technology Management

Graduate business education connecting organizational management, technology strategy, leadership, and business decision-making.

Bachelor of Science

Computer Science

Technical education supporting software development, computing systems, databases, programming, and analytical problem-solving.

Professional themes

Capabilities strengthened repeatedly across different roles and industries.

Although the titles and operating environments changed, several themes remained consistent throughout the professional journey.

Connecting business needs to technology

Understanding operational priorities and translating them into systems, workflows, data structures, requirements, and implementation decisions.

Treating data as operational infrastructure

Improving data quality, validation, definitions, reporting, migration readiness, and usefulness for organizational decision-making.

Leading across technical and nontechnical teams

Communicating with engineers, managers, executives, institutions, users, and external stakeholders while keeping responsibilities visible.

Documenting complex work

Using requirements, workflows, architecture decisions, reports, testing criteria, and roadmaps to reduce ambiguity and preserve continuity.

Building with operational realities in mind

Considering governance, budgets, risk, ownership, adoption, infrastructure, service continuity, and organizational capacity alongside technical capability.

Continuing to learn and adapt

Applying an established software, data, business, and leadership foundation to new developments in AI, automation, SaaS, and digital media.

Professional opportunities

Connect experience, technology, and business priorities.

Discuss consulting, collaboration, leadership, product-planning, data, AI, or workflow-automation opportunities.

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