Suleiman Jabir
Full Stack Engineer
8 years of experience crafting scalable solutions with Python AI/ML, Flask, Django, Express, React, Next.js, and modern database technologies
Technical Expertise
8 years of hands-on experience across the full technology stack
Professional Journey
8 years of growing expertise in full-stack development and AI/ML
Gradepy Technologies
Mindlab Africa
Annafees Academy
Katsina State Build-A-Thon
Python Community Katsina
Katsina Directorate of ICT
Featured Projects
A showcase of my work across full-stack development and AI/ML
A high-performance backend API framework combining the simplicity of Flask with the speed of FastAPI. Built with Rust at its core and wrapped in Python, HASKE achieves a benchmarked 7.3% speed advantage over FastAPI. It includes a powerful CLI, Uvicorn integration, and supports serving modern frontend frameworks such as Next.js, React, Vue, and Angular from the same server.
A digital agricultural management system for the Katsina Agicultural and Rural Development Authority (KTARDA). It enables residents to request government-backed agricultural services, hire tractors, access farmland leasing, and track agricultural assets across the state. Designed for transparency, accessibility, and improved agricultural service delivery.
A real-time trade information platform providing continuously updated commodity prices across all local government markets in Katsina State. Helps residents, traders, and investors track price trends, availability of goods, and market insights, boosting economic transparency and investor confidence.
An AI-driven platform that guides founders from idea conception to investor readiness. The system uses AI to refine idea clarity, perform SWOT analysis, validate concepts, generate market research insights, craft MVP plans, and match founders with potential investors. Designed to accelerate startup development using structured AI workflows.
An internal financial management system developed for the Katsina Directorate of ICT (KATDICT). The platform provides real-time expense tracking, category-based analytics, automated reporting, and secure data handling. Designed as a private administrative tool to improve organizational financial transparency and control.
An IoT-based attendance system developed for the Katsina Directorate of ICT (KATDICT). Built using Raspberry Pi, RFID card readers, and an Express.js backend, the system automates attendance logging through RFID identification. It supports real-time record syncing, device–server communication, and secure data storage—optimized for institutional environments.
A live service-matching platform connecting users with skilled workers such as tailors, electricians, carpenters, and artisans. SabiWok provides verified service listings, job requests, and seamless client–worker matching, helping users find trusted professionals quickly and efficiently.
A powerful, searchable API containing complete hierarchical data for all Local Government Areas (LGAs) and wards in Katsina State. The system enables developers and organizations to perform fast, structured queries—such as fetching all wards within an LGA, searching for a ward by name, validating administrative boundaries, and integrating geographic identifiers into larger applications. Designed as a foundational data service for platforms requiring accurate geopolitical data.
An internet-connected smart lighting system built using IoT hardware and a custom cloud backend. The device allows users to remotely control light bulbs from anywhere using a web or mobile interface. The system features real-time communication between the embedded microcontroller and the server, secure command execution, state persistence, and a sleek control dashboard. Demonstrates expertise in smart home automation and IoT device orchestration.
A collaborative filtering-based movie recommendation engine built in Python. Uses user-item interaction data to suggest movies similar to a target movie or to a user’s history. Implements item-based k-Nearest Neighbors with cosine similarity, sparse matrix optimization, and produces recommendations evaluated via RMSE, MAE, MAP, Precision, and Recall metrics. Supports exploratory analysis and real-time suggestion for large-scale datasets.
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Ready to bring your ideas to life with technology, science, and innovation.