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About Me

AI researcher, systems architect, and open-source builder designing technology that creates real-world impact across Africa and beyond.

Who I Am

Thabang Mashinini-Sekgoto

AI researcher, open-source builder, and educator. I design production AI systems that create measurable impact, and I teach others to do the same.

Impact

Built AI systems that cut processing times by up to 90%, contributed to R1B+ in savings, and improved forecast accuracy for climate risk intelligence.

Open Source

Creator of the Ubunye Engine, an open-source ML framework with declarative ETL, feature stores, and YAML-driven pipelines. I build tools so others can build faster.

Teaching

Training the next generation in practical AI through hands-on courses, from zero-code AI agents for everyday professionals to advanced agentic engineering for developers.

I believe in building technology that uplifts communities and making AI knowledge accessible to everyone, not just those with PhDs.

Impact
R0B+

Annual OPEX Savings

Vodacom Smart Generators

80-90%

Latency Reduction

ABSA ML Platform

0%

Forecast Accuracy Gain

IBM Climate Intelligence

R0M+

Subsidy Generated

Wits Enrollment System

Beyond the Terminal
  • 🎥Photography & Filmmaking
  • 🎶Music Production
  • 🌍Calisthenics & Exploring
  • 🪂Skydiving
  • 🏁Drag Racing
Strive to build things that make a difference.
— Thabang Mashinini-Sekgoto
Collaborate

Work With Me

I'm open to consulting on AI systems architecture, ML platform engineering, and data strategy. I also do public speaking and advisory work. Whether you need a keynote, a technical advisor, or hands-on help scaling your AI infrastructure, let's talk.

Book a Call

What People Say

From Colleagues

Thabang was an integral member of my team for several years, during which we tackled numerous challenging data science problems together. His dedication and passion for solving complex problems are truly commendable. His technical knowledge in data science is impressive, with hands-on experience in Gaussian process models, graph algorithms, probabilistic graphical models, and traditional machine learning algorithms.

Jaco du Toit, Ph.D.

AI/ML & Data Team Lead, Mobile Network Innovation

Impact
It was evident from the start that Thabang is an exceptional and hard-working researcher driven by achieving the goals set before him. He always found a way to get a task done — he took initiative, made a decision, and executed on it with speed and to the best of his ability. It was an absolute pleasure to have worked with him.

Etienne Vos, Ph.D.

Research Scientist Manager, IBM

Teaching
As a data scientist, he played an instrumental role in enhancing our data and prediction pipelines. He identified new sources of predictability and tested multiple hyper-parameter search strategies, which ultimately boosted the performance of our models. His attention to detail, willingness to collaborate, and strong communication abilities made him an invaluable teammate.

Akram Zaytar, Ph.D.

Senior Research Scientist, Microsoft | GeoAI

Engineering

Tools & Technologies

Tech Stack

PyTorch
PyTorch
TensorFlow
TensorFlow
Scikit-Learn
Scikit-Learn
MLflow
MLflow
Databricks
Databricks
Apache Spark
Apache Spark
Apache Flink
Apache Flink
Dask
Dask
Kafka
Kafka
Airflow
Airflow
Python
Python
TypeScript
TypeScript
JavaScript
JavaScript
Go
Go
Java
Java
C++
C++
Haskell
Haskell
React
React
Next.js
Next.js
Node.js
Node.js
Tailwind CSS
Tailwind CSS
MUI
MUI
PostgreSQL
PostgreSQL
MongoDB
MongoDB
Redis
Redis
Docker
Docker
Kubernetes
Kubernetes
Git
Git
AWS
AWS
Firebase
Firebase
Claude Code
Claude Code
Codex CLI
Codex CLI
Gemini CLI
Gemini CLI
Cursor
Cursor

Contribution Activity