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AI Engineer with 1+ years in MLOps & Data Engineering
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Machine Learning Engineer and Data Engineer with 2+ years of experience building and monitoring production ML pipelines, data lineage systems, and ETL workflows. Hands-on expertise in MLOps, model drift detection, metadata management (Marquez), Kubernetes, and Python-based pipeline automation. Certified in Data Protection and GDPR compliance. Passionate about data quality, observability, and AI-driven automation — including n8n workflow automation and fraud detection systems.
Strathmore University
Bachelor of Business Information Technology (BBIT) · Business Information Technology
August 1, 2020 – June 30, 2024
Water Billing System
Freelance Automation & Data Analyst
March 1, 2025 – Present
India
Safaricom PLC
Technology Intern — Data Engineering & Platform Engineering
March 1, 2025 – October 1, 2025
India
Becor Designs
Junior Developer
July 1, 2024 – December 1, 2024
India
Kenyatta University Teaching, Referral & Research Hospital
Business & IT Intern
January 1, 2023 – April 1, 2023
India
Data Lineage Integration with Marquez
June 27, 2026 – Present
Implemented data lineage tracking across ETL workflows using Marquez, enabling end-to-end traceability and metadata capture for data governance.
AI Scam Detector
June 27, 2026 – Present
Developing a mobile scam detection system targeting Safaricom-related fraud, combining ML classification rules and generative AI to identify and report fraudulent activity.
n8n Automated Billing System
June 27, 2026 – Present
Built an n8n automation pipeline for a water billing business - automating monthly billing calculations, bad debt flagging, and customer notifications via Gmail.
MLOps Fraud Detection Pipeline
June 27, 2026 – Present
Built a full end-to-end MLOps pipeline for fraud detection covering data processing, model training, evaluation, deployment, and monitoring. Implemented model drift detection and automated retraining triggers to maintain production model accuracy over time.
Kubernetes and Cloud Native Essentials (LFS250)
The Linux Foundation
March 1, 2026 – Present
Website Design & UI/UX Fundamentals
Tallinn University
January 1, 2024 – Present
Data Protection & GDPR Compliance
Strathmore University, CIPIT
March 1, 2023 – Present
Cisco Networking Fundamentals
Strathmore University
January 1, 2020 – Present
CS50: Introduction to Computer Science
Harvard University Online
January 1, 2019 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from MLOps pipelines to automated billing systems and web development, indicates adaptability and a broad interest in technology. Their involvement in data governance and compliance (GDPR certification) suggests an understanding of responsible AI practices. The blend of academic background, internships, and personal projects shows a proactive learning attitude and a drive to apply knowledge, which are positive indicators for cultural fit in a dynamic tech environment. However, the experience level is relatively junior for a senior role, which might require more mentorship.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through diagnosing and resolving complex site issues and implementing automation workflows. Their collaboration with cross-functional teams at Safaricom PLC indicates good teamwork and communication. The freelance role highlights initiative and independent work capabilities. The focus on data quality, observability, and automation aligns well with operational excellence in an AI engineering context.