Michael Grant

Product Development Executive at Synthesis Software Technologies — Engineer, inventor, and AI specialist.

City of Cape Town, Western Cape, South Africa

About

Complex engineering problem solver, inventor. Machine Learning expert, with experience in delivering holistic and robust engineered systems. Passionate about developing teams to deliver value into businesses. As the Chief Technology Officer of Labs, Michael leads the disruptive launch pad of the Capital Appreciation Group (JSE::CAPPREC). With a PhD in electrical engineering, he brings a wealth of experience in creating successful AI-powered products and building the businesses needed to bring them to market. He dedicates his time to developing new products and exploring how technology is shaping the world. Recipient of the Keith Plowden Young Achievers Award—for the most outstanding electrical engineer (2011). 2012 winner of the International Electrotechnical Commission's Young Professional for South Africa.

Experience

  • Synthesis Software Technologies (Full-time · 3 yrs 10 mos)
    • Product Development Executive
      Nov 2024 - Present · 1 yr 8 mos

      Innovating, developing, and maturing vibrant products to many diverse global markets. Helping great ideas reach customers have meaningful impact on their operations and systems.

    • Chief Technology Officer
      Sep 2022 - Dec 2024 · 2 yrs 4 mos

      Innovating new value propositions with the Synthesis Labs team

  • Chief Technology Officer and co-founder at Synthesis Labs
    Sep 2022 - Present · 3 yrs 10 mos

    Building and testing new technologies

  • Non Executive Director at AssetPool
    Jul 2023 - Present · 3 yrs

  • Chief Technology Officer at DataProphet
    Jan 2017 - Aug 2022 · 5 yrs 8 mos

    Passionately drive value delivery to customers through consulting and product deployments. Invented core products which have delivered process improvements >40% to clients globally. Motivate company wide innovation and lead investigations into new and emerging machine learning techniques.

  • Principal Engineer at Transnet
    Feb 2014 - Jan 2017 · 3 yrs

    Managed innovation team through which we managed to have impact on multiple aspects of the business: • Dynamic and robust train scheduling to minimise impact of the rolling load shedding that compromised rail capacity; • Energy system design, assembly, and testing; • Adaptive control supported by complex physics model (also part of the development); and • Optimised several systems using many machine learning algorithms.