About Me

Black-and-white tuxedo portrait of Benedictus Makuyana
Kariba roots · Building from Harare

Benedictus Tawananyasha Makuyana

AI Automation & Product Engineer · BTech Computer Science Student

I build useful systems—not technology theatre. My work spans hospitality operations, student infrastructure, business automation and full-stack product delivery.

Dr BennyT is my online identity and a family nickname from birth, not an academic title.

Based in
Harare, Zimbabwe
Current focus
aiDo products & BTech CS
Open to
Product collaborations, freelance work & internships
Languages
English, Shona, Chinese
2020Started coding
3Live aiDo web products
32hData science programme
BTechComputer Science at HIT
The through-line

From curiosity to accountable products.

I started coding during the Covid-19 lockdown after watching Game Shakers and thinking, “I could build something like that.” A mentor introduced me to C and C++; the rest became years of self-directed learning across the web, backend systems, product design and automation.

That curiosity now has receipts. At Afriform Software, I worked as an Associate Developer from November 2025 to July 2026, contributing to TimelessHR, AutoSales and the company website. I helped make platforms more dynamic through admin-controlled content, current programmes, blogs and SEO-focused publishing.

Today I am building aiDo: practical AI systems for African business. GuestAI handles hospitality workflows; CalenderZW turns university timetables into usable calendars; aiDo DMs is being developed to move customer conversations into orders, bookings, quotes, follow-ups and human handoffs.

Alongside product work, I am studying BTech Computer Science at Harare Institute of Technology and building Scholarz Nation into a trusted student opportunity and progress network. The goal is consistent: software that people can actually use, trust and keep using.

What I can own

Capabilities backed by shipped work.

Product engineering

Turning an operational problem into flows, interfaces, APIs, data and a deployable product.

AI & automation

Human-in-the-loop workflows, n8n automation, lead handling, handoffs and practical business AI.

Full-stack web

JavaScript, TypeScript, React, Astro, Node.js, PHP/Laravel, REST APIs and responsive interfaces.

Data foundations

Python, SQL, Supabase, structured analysis and machine-learning foundations strengthened through formal study.

Delivery & operations

GitHub workflows, Docker, VPS deployment, Cloudflare, production checks and maintainable documentation.

Product judgement

Clear scope, mobile-first African context, honest capability boundaries and outcome-focused iteration.

Selected credentials

Focused learning, verified.

Udemy certificate for The Data Science Course: Complete Data Science Bootcamp 2026
Udemy · 365 Careers

The Data Science Course: Complete Data Science Bootcamp 2026

A 32-hour completion programme covering the foundations and applied workflow of modern data science.

Issued
May 19, 2026
Length
32 total hours
Credential
UC-66e2b861-86d0-4729-a1dc-20adf61e4278
IBM SkillsBuild Enterprise Design Thinking Practitioner badge
IBM SkillsBuild · Credly

Enterprise Design Thinking Practitioner

Issued March 2, 2026. A supporting credential in collaborative, user-centred product thinking.

View official Credly badge
Experience & education

The current trajectory.

  1. 2026 — Present

    Founder & Product Engineer · aiDo

    Building the aiDo ecosystem, including GuestAI, CalenderZW and aiDo DMs, around real operational work and human oversight.

  2. Aug 2026 — Present

    BTech Computer Science · Harare Institute of Technology

    Formal study across computer science, software systems and the engineering foundations behind dependable products.

  3. Nov 2025 — Jul 2026

    Associate Developer · Afriform Software

    Contributed to TimelessHR, AutoSales and Afriform’s corporate platform across backend, product, dynamic content and SEO delivery.

  4. May 2026

    Complete Data Science Bootcamp · Udemy / 365 Careers

    Completed 32 hours of structured data science learning and earned a verifiable certificate.

  5. Nov 2025

    Cambridge AS & A Levels

    Completed with A* in Computer Science, A in Pure Mathematics and B in Physics.