Gabriel Junior Ndlovu
@gabrieljuniorndlovu
Junior AI & ML engineer building intelligent systems across data, models, and real-world deployment.
What I'm looking for
I’m a junior AI & ML engineer at heart—a builder who engineers intelligent systems designed to improve how we live, work, and connect. My journey started with AI and robotics, and quickly taught me that a brilliant model needs the infrastructure and software that deliver it. As a 4X Microsoft Azure Certified engineer and Co-Founder @Second-Spark Intelligence, I focus on building the engines that run intelligent solutions.
In my Artificial Intelligence Intern role at Econet Wireless Zimbabwe, I operated across AI and Big Data to build enterprise-scale data architecture. I orchestrated ETL and real-time streaming pipelines on the Cloudera Data Platform using Apache NiFi, Kafka, Spark, Hive, Impala, and Sqoop, provisioning data for network performance monitoring, fintech (EcoCash) revenue assurance, chatbot analytics, and large-scale hardware telemetry. I also architected a Data Engineering Observability Portal to support AIOps and monitoring, building and deploying autonomous AI agents with LangGraph, FastAPI, and React integrated with on-premises LLMs for pipeline health analysis and self-healing workflows.
Before that, during my Research & Development Intern experience at TOYOTA Connected, I worked on applied deep learning research at the intersection of AI and healthcare. My primary focus was Ruvheneko-AI, an AI-powered early breast cancer detection system—where I conducted literature reviews, helped co-author the methodology, and designed, trained, and evaluated a custom CNN for automated tumour detection with an emphasis on transparency and clinical reliability through structured reasoning approaches. I also contributed to research documentation and technical communication with interdisciplinary stakeholders, and supported deployment and business vision through customer segmentation, value proposition design, and go-to-market planning.
I don’t treat AI, data engineering, IoT, and full-stack delivery as separate silos—those are the interconnected building blocks of a smarter future. I’m a massive advocate for building in public, documenting my engineering journey, sharing architecture, wins, and the inevitable bugs, and collaborating with teams that care about high-trust, production-ready systems.
Experience
Work history, roles, and key accomplishments
Artificial Intelligence Intern
Econet Wireless Zimbabwe
Aug 2025 - Present (1 year 2 months)
Operating within the AI and Big Data departments, I built and maintained the enterprise-scale data architecture powering telecommunications, digital services, and AI initiatives across the organization.
My work bridged the gap between raw data ingestion and actionable business intelligence, with a major focus on pioneering AIOps capabilities within the division.
● Enterprise Data Engineering & Pip
Research & Development Intern
TOYOTA Connected
Jun 2025 - Aug 2025 (2 months)
During my three-month Research and Innovation Cohort internship with Toyota Connected Corporation, in partnership with the University of Zimbabwe Innovation Hub, Pegara Japan Inc., and Parirenyatwa Hospital, I worked on applied AI research at the intersection of deep learning and healthcare. My primary focus was Ruvheneko-AI, an AI-powered early breast cancer detection system designed to improve d
Education
Degrees, certifications, and relevant coursework
University of Zimbabwe
Bsc (Hons) , Computer Engineering
2023 - 2027
University of Zimbabwe
Bachelor of Science (Honours), Computer Engineering
2023 - 2027
BSc (Hons) degree in Computer Engineering at the University of Zimbabwe, covering undergraduate coursework across the program duration from 2023 to 2027.
Jameson High School
2016 - 2021
Studied Advanced level Maths, Physics and Chemistry
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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