Chigozilai B. Kejeh - AI/ML Engineer | Data Scientist | Data Engineer
Chigozilai B. Kejeh

Chigozilai B. Kejeh

AI/ML Engineer | Data Scientist | Data Engineer

Innovative, results-oriented AI and Data professional with 7+ years of experience in building and deploying production-grade Machine Learning, AI, Data Science, and Data Engineering solutions across fintech, insurtech, marketing and research.

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About Me

7+
Years Experience
40+
Projects Completed
25%+
AI/ML/Data Products Deployed
10+
Happy Clients

Hi there, I'm Chigo!

I'm an AI and Data Professional with a proven track record of leading cross-functional teams and developing scalable AI-powered systems that deliver measurable business value. My expertise spans across Machine learning/AI, Data Science, Data Engineering, MLOps, GenAI, Computer Vision, and a wide range of ML/Data libraries and frameworks with hands-on experience in Fintech, Insurtech, Marketing and Research.

With a Master in Computer Science and 3+ years of leadership experience, I bring both theoretical knowledge and practical implementation skills to every project. I've successfully led teams, automated data workflows, and built production-grade ML systems that have increased performance by 25% and reduced operational costs by over 80%.

Currently, Kola Market leverages my expertise as a Lead Machine Learning Engineer to develop AI-driven products that enhance customer retention and sales growth. My work includes building intelligent systems like a WhatsApp AI assistant, credit scoring models, and predictive inventory tools, all of which align with organizational goals. I also manage and scale the data analytics function, ensuring actionable insights and strategic decision-making through robust dashboards and reporting pipelines.

Product Categories

AI/ML Development

Building scalable ML models and AI-driven solutions including generative AI solutions that solve real business problems.

Data Science

Extracting meaningful insights and exploratory analysis from complex data to drive business decisions.

MLOps

Implementing production-grade ML infrastructure and deployment pipelines.

Data Engineering

Creating automated production-ready data pipelines that are robust and scalable.

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Technical Skills

AI/ML & Data Science

Python Scikit-learn Pandas MLFlow FastAPI Hugging Face LangChain TensorFlow PyTorch OpenCV Keras

Data Engineering

SQL NoSQL PySpark Airflow Hadoop ETL/ELT Kafka Data Warehousing SSIS/SSAS

MLOps

Docker Jenkins Kubeflow Git CI/CD ML Monitoring

Cloud & Analytics

AWS GCP Tableau Looker Matplotlib

Professional Experience

Nov 2024 – Present
Lead AI/ML Engineer | Data Engineer
Kola Market
  • Led development of GenAI Solutions including WhatsApp Assistant for increased engagement and Inventory Forecasting Model for optimal restocking recommendation
  • Implemented Machine Learning Solutions including Credit Score Model for proper risk scoring
  • Built end-to-end ML pipelines using FastAPI, Docker, and GCP
  • Scaled analytics infrastructure with organization-wide dashboards
Jul 2022 – Nov 2024
Lead AI/ML Engineer | Data Scientist | MLOps | Data Engineer
Interswitch Group
  • Led the Data Science/ML team for lending and transaction-focused business unit.
  • Designed and deployed credit scoring engine which reduced bad borrowers by 25% and a transaction volume forecasting model to forecast transation demand.
  • Implemented a private LLM-based Infrastructure which powered products like Sentiment Analysis and Employee Assistant.
  • Built end-to-end automated data pipelines for Feature stores and Data Products
Mar 2024 – Nov 2024
Senior Data Engineer
IWP Capital
  • Built and maintained a financial data warehouse and automated ETL pipelines.
  • Cleaned, validated, and optimized large-scale stock datasets.
  • Communicated technical insights to business and investment teams.
Jun 2023 – Jun 2024
Machine Learning Engineer
Curacel
  • Enhanced car damage detection model achieving 90%+ mAP
  • Reduced model inference tech cost by over 80%
  • Built LLM support assistant using RAG Architecture
  • Conducted VLM research for image localization tasks
Aug 2019 – Jun 2022
ML Engineer | Data Scientist | Data Engineer
Interswitch Group
  • Developed ML APIs for credit scoring and loan default prediction
  • Built SMS sort engine to parse raw data into structured data products and 15+ robust ETL pipelines
  • Deployed Dockerized ML models with FastAPI and Airflow
Jun 2018 – Jul 2019
Data Scientist
Zeitos
  • Released a Paper on a Computer Vision solution for Oil Pipeline Crack Detection
  • Developed ML and NLP prototypes in Python and TensorFlow
  • Led applied research projects in Bio-infomatics and Deep Learning
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Featured Projects

Multi-Agent Help Desk AI System
Agentic AI • RAG • LLM
A multi-agent AI help desk system built with LangChain and LangGraph that automatically classifies, processes, and responds to IT support requests.
LLMs Chroma DB LangGraph LangChain Embeddings Cosine Similarity FastAPI
View on GitHub
Water Treatment Facility Monitoring System
AI • PRIVATE LLM • NLP
A comprehensive real-time monitoring system for water treatment facilities that simulates sensor data, detects anomalies, and generates human-readable summaries using a local LLM.
Python LLM Deepseek LangChain FastAPI Docker Ollama
View on GitHub
Vector Similarity Matching
RAG • Similarity Search • Vector DB
This project implements a volunteer description matching system which matches volunteer descriptions based on their similarity with a volunteer request. Includes a FastAPI entry point to interact via APIs
LLMs FAISS Chroma DB LangChain Embeddings Cosine Similarity
View on GitHub
Fraud Detection System
Data Science • Fraud Detection • Unstructured Data
A comprehensive anomaly detection system for financial transaction fraud detection. This system processes unstructured transaction logs, extracts meaningful features, and uses multiple rule-based and machine learning approaches to identify fraudulent transactions..
Regular Expressions Feature Engineering Pandas Streamlit Python
View on Github
Credit Card Fraud Detection
Data Science • FinTech • Fraud Detection
A machine learning model that helps financial institutions Detect fraud with high accuracy so real transactions are not blocked unnecessarily, Minimize false alarms to improve customer experience and Handle fraud data effectively since fraud cases are much rarer than normal transactions (Class Imbalance).
Scikit-learn XGBoost Feature Engineering Pandas Python
View on Github
Hospital Resource Forecasting
Data Analytics • Data Science • Demand Forecasting
The goal of this work is to improve patient outcomes, enhance operational efficiency, and optimize resource utilization across healthcare facilities through resource forecasting.
Python Pandas EDA Scikit-learn
View on Colab
Pipeline Crack Detection (LICDAL)
Computer Vision • CNN • Industrial IoT
CNN-based visual inspection tool for detecting cracks in oil pipelines. Published in CSC Journals as part of MSc thesis work. Automated defect detection system for critical infrastructure monitoring.
TensorFlow OpenCV CNN Computer Vision Python
View Paper
Image Classification API and UI
Computer Vision • CNN • MLOps
This project provides an end-to-end solution for Chess Piece classification using a MobileNet-based CNN model with FastAPI and Streamlit. The project allows users to upload images, get classification results, and view performance metrics.
TensorFlow OpenCV FastAPI Docker Python
View on Github
Web Crawler with DB
Data Engineering • Web crawl • Data Modelling
This app crawls a website to get data, saves them to a database and exposes the data via an API. Used for Data gathering and storage.
Beaitiful Soup Docker FastAPI Pandas Python
View on Github

Get In Touch

I'm always interested in discussing new opportunities in AI, Machine Learning, Data Science, and Data Engineering. Whether you're looking to build scalable ML systems, implement data pipelines, or explore innovative AI solutions, I'd love to hear from you.

Email

kebochig@gmail.com

LinkedIn

Connect with me

GitHub

View my repositories

Location

Remote | Worldwide

Let's Work Together