Executive Profile

Serious technical credibility, grounded in delivery

Tinashe is a lead solutions architect, data engineer, and aeronautical engineering consultant with a rare blend of software depth, analytical rigor, and engineering systems thinking. He is strongest in environments where the data is messy, the stakes are high, and leaders need someone who can both architect the solution and help build it.

What I do best

  • Architect end-to-end data and AI solutions from ingestion to decision support.
  • Turn manual, document-heavy workflows into repeatable, auditable systems.
  • Bridge engineering, finance, and operations with clean technical translation.
  • Lead with calm ownership while staying hands-on in the implementation.

How I am positioned

Not a loud generalist and not a narrow specialist. I sit in the valuable middle: senior enough to shape the architecture, technical enough to ship the work, and practical enough to keep teams aligned around outcomes.

Solutions Architecture Data Engineering Agentic AI Aeronautical Engineering Engineering Consulting Technical Leadership

Selected Impact

Proof that the work holds up in the real world

The strongest signal is not a long list of buzzwords. It is evidence that complex work moved forward because the systems were designed properly, the data became trustworthy, and the outputs helped people make decisions with more confidence.

Flagship delivery

PRASA General Overhaul Invoice Verification

Architected the data workflow that transformed scanned contractor invoice evidence into structured, machine-readable verification datasets for systematic financial review.

  • Supported verification across 7 contractors and 400+ invoices.
  • Handled invoices containing up to roughly 500 detailed line items.
  • Built variance checks against the PRASA Approved Price Book with source traceability.
  • Replaced a labor-intensive process with a scalable, repeatable workflow.
Current architecture work

Agentic AI for Municipal Data

Designing Smart AI General Valuation Roll capabilities that interrogate, reconcile, and surface anomalies across large municipal property, valuation, and account datasets.

  • Combines agentic workflows with structured reconciliation logic.
  • Improves how large valuation-roll datasets are reviewed and explained.
  • Built for finance, audit, and operational stakeholders who need usable outputs.
Data platform design

Sports Data Architecture at Athstat

Architected end-to-end sports-data ingestion spanning web scraping, third-party APIs, structured feeds, and storage layers supporting applications, dashboards, and analytics.

  • Designed PostgreSQL and AWS RDS schemas for structured application data.
  • Used MongoDB and OpenSearch for flexible storage and fast indexed retrieval.
  • Built predictive models for rugby outcome analysis using contextual variables.
Applied AI systems

Trade Classification Agents at BITE Data

Built Agentic AI and retrieval-driven workflows to support import and export classification using HS Code data, explainable logic, and contextual knowledge retrieval.

  • Developed a FastAPI service layer for classification support.
  • Implemented Pinecone and LangChain retrieval workflows.
  • Focused on explainable outputs over shallow AI theater.

Core Expertise

Technical breadth with a clear center of gravity

The theme running through the stack is simple: practical systems that can ingest, structure, verify, search, analyze, and explain important information at scale.

Data engineering and cloud

ETL and ELT architecture, structured data modeling, storage design, and scalable processing.

AI, agentic systems, and analytics

LLM applications, agent workflows, retrieval-backed systems, and predictive modeling.

Programming, APIs, and delivery

Python-first implementation with API integration, service design, automation, and deployment discipline.

Engineering domain depth

Applied systems thinking from aeronautical and mechatronics work into software, automation, and decision support.

Engineering Vision

Aeronautical engineering depth with a broader mission for African development

My engineering ambition is bigger than individual projects. I want to help modernize African infrastructure, starting in South Africa and Southern Africa, through better engineering systems, intelligent automation, world-class design standards, robotics, and applied AI that improves how cities and public infrastructure actually work.

What I bring as an Aeronautical Engineer

  • Aircraft design thinking grounded in structured engineering discipline.
  • CAD and engineering-design capability for technical systems and physical problem solving.
  • Control systems engineering including PID-based thinking, mechatronics, and robotics.
  • C++, Python, and engineering computation applied to real systems design and automation.

My long-term infrastructure vision

I want to contribute to modern African infrastructure that feels world-class: better roads, smarter airports, stronger public systems, intelligent robotics, AI-enabled engineering workflows, and cities designed with both excellence and dignity. South Africa is the starting point, but the ambition is broader across Southern Africa.

Infrastructure modernization Airports and mobility systems Robotic systems Smart cities Applied AI in engineering
Engineering skill set

Control systems, mechatronics, and robotics

Beyond software and data, I bring systems-level engineering thinking that is useful wherever physical infrastructure, automation, and intelligent control matter.

  • Control systems design and analytical thinking shaped by engineering fundamentals.
  • Mechatronics and robotics perspective that links software to real-world systems.
  • Useful for infrastructure, industrial automation, transport, and engineering innovation.
Academic direction

MSc focus on Agentic AI and engineering design

My MSc direction is part of the same mission: building stronger engineering capability by combining agentic AI, engineering design, and applied intelligence in practical systems.

  • Focused on Agentic AI in engineering contexts, not AI for show.
  • Designed to strengthen long-term contribution to African infrastructure and automation.
  • Connects software, intelligent systems, and engineering delivery into one path.

Professional Journey

Experience that spans architecture, teaching, consulting, and delivery

July 2025 - Present Rushreeds Holdings | Johannesburg

Engineering Consultant | Lead Solutions Architect & Data Engineer

Leading solution architecture and data-engineering delivery across analytics, AI, financial reconciliation, and engineering engagements.

  • Architecting municipal Agentic AI solutions and Smart AI valuation workflows.
  • Designing Python, SQL, Power Query, and Excel-based reconciliation frameworks.
  • Applying engineering systems thinking to multidisciplinary consulting work.
Jan 2025 - Jun 2025 University of the Witwatersrand | Johannesburg

Automation & Robotics Lecturer

Delivered automation and robotics teaching to third-year mining engineering students, covering C++, Python, JavaScript, engineering design, robotics fundamentals, and control systems.

Jan 2022 - Nov 2024 Athstat | Remote contract

Engineering Consultant | ETL Architect & Data Scientist

Architected ingestion pipelines, schemas, storage layers, and predictive analytics workflows for sports applications, dashboards, and client analytics.

Sep 2022 - Apr 2025 BITE Data | Remote contract

Agentic AI & Engineering Consultant

Built trade-classification support agents using FastAPI, LangChain, Pinecone, API integrations, and retrieval-based workflows grounded in HS Code knowledge.

Jan 2020 - Dec 2024 Ktizma | Johannesburg

Technology Lead | Founding Member, now advisor

Led technology strategy, application architecture, and data pipeline delivery for client systems including digital conference platforms and ERP-related implementations.

Credentials

Academic depth, professional growth, and visible trajectory

Education

Master of Science in Engineering

Admission in progress, part-time | Planned 2026 - 2027

Proposed focus: mechatronics, AI agents, and applied AI solutions in engineering, with emphasis on intelligent automation and AI-assisted decision support.

Foundation

BSc in Aeronautical Engineering (Honours)

University of the Witwatersrand | Feb 2012 - Sep 2019

Major in aircraft design with tutoring experience in mechatronics, Arduino, C++, control systems, and MATLAB / Simulink.

Professional development

Registration and next certifications

Candidate Engineer with ECSA, progressing toward Professional Engineer registration. Building additional signal in cloud architecture and modern data engineering.

ECSA Candidate Engineer AWS Solutions Architect - coming soon Databricks Data Engineer - coming soon

Contact

Open to serious conversations about high-value work

I am most useful in roles that value architecture judgment, delivery discipline, and a calm ability to navigate technical ambiguity without creating drama around it.

Best-fit roles

  • Lead Solutions Architect
  • Senior or Principal Data Engineer
  • AI Solutions Architect
  • Aeronautical Engineer / Systems Design Engineer with CAD, aircraft design, and control-systems depth
  • Technical consulting and fractional architecture leadership