Tinashe E.
Automation & Robotics Lecturer
Experience
Automation & Robotics Lecturer
University of the Witwatersrand
Contract appointment to lecture automation and robotics to third-year mining engineering students.
Designed and delivered course material covering C++, engineering design, Python, JavaScript, robotics fundamentals and control systems.
Developed laboratory assignments and project work that applied control theory to real-world mining equipment and robotic platforms.
Collaborated with faculty to align course outcomes with accreditation standards and industry expectations in the mining and banking sectors.
Engineering Consultant
Rushreeds Holdings
Provide data engineering and full-stack development services for clients across manufacturing and finance, leveraging Node.js, Tailwind and Python to build secure web applications and dashboards.
Design relational database schemas and implement robust ETL processes using PostgreSQL and AWS services to integrate operational, sensor and financial data.
Develop conversational AI agents powered by large language models to automate client support, knowledge management and risk analysis, integrating APIs with AWS infrastructure and on-premise systems.
Advise clients on technical strategy, ensuring solutions meet regulatory requirements for data privacy and financial compliance.
Engineering Consultant
BITE Data
Develop and deploy AI models for trade compliance and anti-money-laundering (AML), enhancing regulatory oversight and mitigating risk for international trade clients.
Engineer solutions for efficient data handling and automated screening of potential bad actors, utilising MongoDB, SQL and cloud-native ETL pipelines.
Conduct detailed risk assessments and performance analyses to inform continuous improvement of compliance protocols.
Leverage aeronautical engineering expertise to integrate precision modelling with trade and accounting frameworks.
ETL Pipeline Architect & Data Scientist
Athstat
Lead the architecture and optimisation of complex ETL pipelines for sports and financial analytics, processing terabyte-scale datasets using PySpark and SQL on AWS EMR and EC2.
Design data models and warehouses in PostgreSQL and MongoDB to support real-time analytics and reporting; orchestrate jobs with AWS Glue and Glue Studio.
Develop predictive models for sports outcomes and risk analysis, producing actionable insights for clients.
Implement streaming data ingestion using Kafka and OpenSearch, delivering dashboards and alerts for dynamic decision-making.
Collaborate with cross-functional teams to ensure data quality and regulatory compliance across the pipeline.
Technology Lead (Advisor)
Ktizma
Architect web applications and data pipelines for clients, including digitalisation of large conferences and implementation of ERP systems (ERPNext).
Develop Python scripts, object-oriented programs and backend services; oversee deployment of scalable solutions on cloud infrastructure.
Lead cross-functional teams of engineers and developers, aligning technology strategy with business objectives and ensuring data security and privacy.
Evaluate emerging technologies and recommend adoption to drive innovation and operational efficiency.
Summary
Aeronautical engineer and technology consultant with over five years of experience designing data-driven solutions at the intersection of engineering and finance. Adept at leading multidisciplinary teams to build scalable ETL pipelines, cloud-native applications, and advanced AI models for regulatory compliance and analytics. Skilled in Python, C++, Node.js, SQL and cloud services, with a demonstrated ability to translate technical innovations into strategic business value.
Recent engagements include lecturing on automation and robotics at the University of the Witwatersrand, architecting real-time sports analytics platforms, and delivering conversational AI agents that integrate large language models (LLMs) with AWS infrastructure and modern web frameworks. This portfolio positions me to support banking clients with secure data ingestion, predictive modelling, and AI-driven customer experiences.
Languages
Education
University of the Witwatersrand
Master of Science in Engineering · Digital Twin Technology · Johannesburg, South Africa
University of the Witwatersrand
Bachelor of Science · Aeronautical Engineering · Johannesburg, South Africa
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