Mohammed Jibril

BACKEND SYSTEMS / APPLIED AI / AUTONOMY

Mohammed Jibril Jibril

Backend & AI Engineer

I build reliable backend systems, AI-powered applications, and intelligent autonomous systems.

Available for selected roles and projects

SELECTED WORK / CASE STUDIES

Selected systems

Production backends, AI-powered workflows, and the infrastructure behind complex operations.

01/Secure multi-tenant operations

ProGate

A connected operational platform for access, visitor validation, payments, and administrative coordination.

ProGate product screenshot

Problem

Residential and organizational access depends on security teams, residents, visitors, administrators, billing, and incident response working from the same source of truth. Fragmented tools make validation slow, permissions inconsistent, and operational events difficult to audit.

Role
Backend architecture and AI integration
Stack
  • Python
  • FastAPI
  • PostgreSQL
  • Redis
Read the ProGate case study Visit site
02/Trust infrastructure for discovery

Verify9ja

Backend trust infrastructure that makes local business discovery credible, searchable, and manageable.

Verify9ja product screenshot

Problem

Local discovery only works when people can trust the businesses they find. The platform needed a backend that could coordinate vendor onboarding, identity, search, reviews, moderation, communication, analytics, and administrative oversight without turning trust into a superficial badge.

Role
Backend engineering for trust and operational workflows
Stack
  • Python
  • FastAPI
  • PostgreSQL
  • Docker
Read the Verify9ja case study Visit site
03/Service marketplace and trust platform

9jaConnect

A multi-sided marketplace backend for discovery, service coordination, and trust decisions.

9jaConnect product screenshot

Problem

Connecting customers with service professionals requires more than a searchable directory. Requests, quotes, conversations, identity checks, reviews, disputes, recurring arrangements, and platform decisions must remain consistent across a multi-sided marketplace.

Role
Backend engineering for marketplace coordination
Stack
  • Python
  • FastAPI
  • PostgreSQL
  • Alembic
Read the 9jaConnect case study Visit site
04/Institutional workflow systems

AUST Digital Operations

Connected institutional systems for admissions, approvals, memos, requisitions, and payments.

AUST Digital Operations product screenshot

Problem

University admissions, requisitions, memos, and payments cross many departments and decision-makers. Paper-led and disconnected processes make state difficult to track, duplicate work, and weaken accountability across institutional operations.

Role
Backend and system architecture
Stack
  • Python
  • FastAPI
  • PostgreSQL
  • WebSockets
Read the AUST Digital Operations case study Visit site

CAPABILITIES / TOOLKIT

What I build

Backend platforms

APIs, authentication, data models, integrations, and operational reliability.

AI integrations

LLM-backed workflows, retrieval, vector search, voice experiences, and automation.

Workflow systems

Multi-role approvals, audit trails, notifications, and institutional operations.

Infrastructure

Containerized delivery, CI/CD, reverse proxies, VPS deployment, and production support.

Technical toolkit

Languages

  • Python
  • Go
  • JavaScript
  • TypeScript

Backend

  • FastAPI
  • Django
  • Flask
  • REST APIs
  • WebSockets

Databases and data

  • PostgreSQL
  • MySQL
  • MongoDB
  • Redis
  • Firebase
  • SQLAlchemy
  • Alembic

AI systems

  • LLM APIs
  • RAG pipelines
  • embeddings
  • vector search
  • prompt engineering
  • n8n

Infrastructure

  • Docker
  • Nginx
  • Linux/VPS
  • GitHub Actions
  • Jenkins
  • Render

Machine learning

  • TensorFlow
  • scikit-learn
  • Pandas
  • NumPy

EXPERIENCE / TIMELINE

Experience

05/2025 – Present

African University of Science and Technology

Backend & System Architecture

Designing connected institutional workflows for admissions, approvals, requisitions, memos, and payments.

01/2025 – 12/2025

ProGate Technologies

Backend & AI Engineer · ProGate Technologies

Building multi-tenant backend systems and integrating the AURA voice assistant into operational workflows.

06/2024 – 10/2024

Cammy Integrated Services

Fintech Backend Engineer

Working on fintech integrations and authentication-focused backend capabilities.

11/2023 – 04/2024

LFReturnMe

Backend Developer

Developing scalable APIs and structured data workflows for a lost-and-found platform.

01/2023 – 09/2023

M3W Technologies

Autonomous Systems & Machine Learning Engineer

Contributing to autonomous systems and machine-learning work for intelligent platforms.

ARCHIVE / OTHER SYSTEMS

Additional work

  • Institutional platform

    AUSTInspire

    An innovation hub connecting AUST research, startups, and community programs in one platform.

    • Python
    • FastAPI
    View project

  • Lost-and-found platform

    LFReturnMe

    A backend-focused platform for scalable APIs and structured data workflows.

    • Python
    • FastAPI
    • PostgreSQL

  • Fintech

    CKash

    A fintech-focused project centered on dependable application workflows.

    • Python
    • FastAPI
    • PostgreSQL

  • AI systems

    Neuralab

    An applied AI project focused on intelligent software workflows.

    • Python
    • LLM APIs

  • Commerce platform

    AFRIC Fashion

    A digital fashion project with an emphasis on application and data workflows.

    • JavaScript
    • TypeScript

  • Infrastructure

    GateNode

    An infrastructure-oriented project for connected backend systems.

    • Python
    • Docker

  • Autonomous systems

    Autonomous Drone Systems

    Autonomous systems and machine-learning work for intelligent physical platforms.

    • Python
    • TensorFlow
    • scikit-learn

ABOUT / APPROACH

About

I'm a Backend & AI Engineer with a background in Electrical and Electronics Engineering, currently pursuing a Master's in Systems Engineering at AUST. I have several years of experience building software systems across backend engineering, artificial intelligence, machine learning, automation, and enterprise applications — starting more heavily in machine learning before moving deeper into backend systems and applied AI, where most of my work is focused today.

Over the years I've designed and delivered production systems for both institutions and startups: large-scale university platforms covering admissions, payments, student management, and ERP-style operations across multiple departments; and startup products built from scratch — backend architectures, APIs, authentication, payment integrations, automation workflows, cloud deployments, and AI-powered features. What drives me most is taking complex, heavily manual processes and turning them into scalable, automated software that is practical, efficient, and easy to use.

NEXT SYSTEM / OPEN CONVERSATION

Have a system that needs to work properly?

I’m available for selected engineering roles and projects where dependable backend systems and applied AI can make a real difference.