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Abdullahi Ahmad

AI Research Engineer & Machine Learning Specialist

abdulll8392@gmail.com
Babura, Jigawa, Nigeria
abdull6771

About Me

Innovative Computer Engineer with a Second Class Upper degree from Ahmadu Bello University, Zaria, Nigeria, and 4+ years of experience in Machine Learning and Generative AI. Passionate about advancing artificial intelligence research and development, with expertise in building Retrieval-Augmented Generation (RAG) applications, Langchain, and LangGraph for workflow automation.

Winner of the 2023 Global Huawei ICT Competition, I have gained hands-on experience in configuring CCTV, biometric systems, and enterprise networking equipment during my Network Engineering Internship. I am highly motivated to contribute to cutting-edge research in AI and Computer Vision.

Research Interests

Machine Learning, Retrieval Augmented Generation, and Large Language Models

Education

BEng Computer Engineering

Ahmadu Bello University, Zaria, Nigeria | Oct 2018 - Nov 2024

CGPA: 3.69/5.00 (Upper Second Class)

Supervisor: Prof. Muhammad Bashir Muazu

Diploma in Computer Engineering

Institute of Computing and ICT, Ahmadu Bello University | Aug 2016 - Nov 2018

CGPA: 3.52/4.00

Supervisor: Mal. Nura Dari

West African Secondary School Certificate (W.A.S.S.C.E)

Science Secondary School Lautai Gumel, Jigawa | Sept 2013 - July 2016

Professional Certifications

  • Huawei Certified Academy Instructor
  • Huawei Certified ICT Professional - Artificial Intelligence
  • Huawei Certified ICT Associate - Artificial Intelligence
  • Huawei Certified ICT Associate - Cloud Services
  • Coursera TensorFlow Developer Certificate
  • Deep Learning Specialisation by Prof Andrew NG (Coursera)

Professional Experience

Research Assistant

INCEIF University, Kuala Lumpur, Malaysia

Sept 2025 - Present
  • Developed a Python automation script to download, rename, and organize annual reports for publicly listed companies in Malaysia
  • Utilized the Google Drive API via the PyDrive library to programmatically upload and manage financial documents in a structured cloud environment
  • Engineered a system to automatically parse URLs and file metadata to standardize naming conventions, significantly improving data retrieval and organization for research purposes
  • Developed an AI-driven data extraction system using LangChain (RAG) and Gemini Pro to parse and structure the OIC Digital Economy Index from a large document into a SQLite database
  • Built a multi-functional analytics dashboard using Streamlit and Metabase, featuring a natural language (Text-to-SQL) query agent and comparative visualizations
  • Enabled data-driven insights through interactive charts (Plotly, Metabase) for country profiling, leaderboards, and geographic analysis across 57 nations

Machine Learning Engineer Intern

Nafabat.AI, California, U.S.A

Jan 2023 - July 2025
  • Finetuned a large video dataset using LlamaVID to recognize shoplifting using CCTV Camera
  • Developed a RAG application to query InfluxDB data
  • Developed an End-to-End Retrieval Augmented Generation Application and deployed using Gradio

Network Engineer Intern

Cosmopolitan University, Abuja, Nigeria

Nov 2024 - Apr 2025
  • Installed and configured Dahua CCTV surveillance systems for key locations including the library, main gate, and school auditorium
  • Took inventory of equipment in the Computer Engineering Lab and the School Maker Space
  • Configured network infrastructure for boys' and girls' student hostels
  • Set up ZKTeco biometric systems for staff and student attendance management
  • Configured Huawei AirEngine 5761R-11 for extended wireless coverage

NYSC Intern - Network Security and Data Centre Configuration

Huawei Technologies, Nigeria

2024
  • Contributed as a team member in the setup and configuration of a data centre for the Nigerian Customs Service
  • Configured Huawei Firewall, AntiDDoS, and FireHunter systems to enhance security and performance
  • Performed regular troubleshooting and maintenance checkups for data centres of UBEC, NERC, CBN, and FIRS
  • Conducted network security training for selected staff of the Federal Ministry of Finance

Featured Projects

SmartFin Analytics: Multi-Agent Financial Analysis System

September 2025

  • Designed and implemented a multi-agent system using LangGraph for risk analysis, fraud detection, and financial planning
  • Developed machine learning models, including Isolation Forest for anomaly detection and Prophet for time-series forecasting
  • Built a responsive Flask web interface with Tailwind CSS and Plotly visualizations

End-to-End Customer Segmentation Strategy Platform

Aug 2025 - Sep 2025

  • Developed a complete customer analytics platform in Python to segment customers and drive targeted marketing strategies
  • Engineered an unsupervised clustering model (K-Means) to identify 5 distinct customer personas
  • Built and deployed a predictive model (Random Forest) with 95%+ accuracy
  • Created a multi-page interactive dashboard using Streamlit

AI-Powered Phishing Email Detector

September 2025

  • Developed a complete machine learning pipeline to classify emails as "Phishing" or "Safe"
  • Engineered advanced text and metadata features achieving over 99% accuracy
  • Built and deployed an interactive web application using Streamlit

SmartWaste AI Robot

March 2023 - July 2023

  • An AI robot that uses deep learning model to detect non-biodegradable waste
  • Uses robotic arm to dispose the waste inside a bin
  • Spearheaded the development of SmartWaste prototype

Network Failure Prediction on CNFs 5GC with eBPF

July 2022 - Aug 2022

  • Collaborated to propose a machine Learning Model to predict Network failure on CNFs 5G C
  • Developed a model using Long Short Term Memory (LSTM)
  • Achieved an improved accuracy of 88.3%

NeuroScan: AI-Powered Brain Tumor Classification

2024

  • AI-Powered Brain Tumor Classification Using Deep Learning
  • Implemented advanced computer vision techniques
  • Achieved high accuracy in medical image classification

AI-Powered Personal Calendar Assistant

2025

  • AI-Powered Calendar Super-Assistant Using LangChain and OpenAI
  • Implemented advanced natural language processing techniques
  • Achieved high accuracy in task scheduling and management

Intelligent PDF Summarizer Web Application

2025

  • AI-Powered PDF Summarizer Using LangChain and OpenAI
  • Implemented advanced natural language processing techniques
  • Achieved high accuracy in text summarization and document understanding

Technical Skills

Programming Languages

Python MATLAB LaTeX ROS

ML Frameworks

MindSpore PyTorch TensorFlow Keras Apache Spark Scikit-Learn XGBoost

Cloud Services

GCP AWS Microsoft Azure Huawei Cloud Platform

Big Data Tools

Hadoop Apache Spark Apache Hive HBase MySQL Huawei MapReduce Service

Hardware

Raspberry Pi Arduino ESP32

Soft Skills

Leadership Problem Solving Team Player Time Management Interpersonal Skills

Awards & Recognition

Grand Prize Winner, Huawei ICT Competition Global Final - Innovation/AI Track
May 2023
Grand Prize, Huawei ICT Competition Regional Final (Southern Africa) - Innovation/AI Track
March 2023

Publications & Research

An Artificial Intelligence Smart Waste Robot
Abdullahi, A. (2024)
[Poster Presentation]. Department of Computer Engineering, Ahmadu Bello University, Nigeria.
Software Development Agent: An AI-Driven Framework for Automating the Software Development Lifecycle
Abdullahi, A. (2024)
Unpublished Research
NeuroScan: AI-Powered Brain Tumor Classification Using Deep Learning
Abdullahi, A. (2024)
Unpublished Research
Developing an LLM-Powered Coding Agent with LangGraph: A Multi-Agent Workflow for Code Generation and Analysis
Abdullahi, A. (2024)
Unpublished Research
Heart Disease Classification Using Random Forest and Support Vector Machine Algorithms
Abdullahi, A. (2024)
Unpublished Research

Get In Touch

GitHub

abdull6771

Location

Babura, Jigawa, Nigeria

Professional Memberships

Nigerian Computer Society (NCS)
Data Science Nigeria
Nigerian Society of Engineers (NSE)