We’re in full swing of a new iron-age, evident from the 1.8 bn tonnes of steel produced every year. However, steel making is tricky and around 25% needs to be reworked due to production errors. We understand this deeply, as our team is made up of Metallurgy PhDs, Engineers and Physicists.
While most people believe the iron age is over, we know that is stronger than ever.
Team/Company
Team
Osas Omoigiade, PhD
CEO, Founder
PhD in Metallurgy from Imperial College London with expertise in novel manufacturing steel methods and Masters from the University of Cambridge.
Andrea Accatino
Product Designer
Product Designer, focused on UX and UI, from the Politecnico of Turin (Italy) with expertise in Agile design for industry.
Deepak Patidar
Full Stack Developer
Bachelors in Computer Science (Networks) from the University of Hertfordshire with experience of working with bleeding edge full-stack tools to develop and deploy high performance, and high quality software.
Endrias Ergetu
Machine Learning Engineer
Masters from the University of Queensland with 7 years experience applying advanced statistical and machine learning techniques to domains ranging from manufacturing to medicine.
Advisor
Prof. Harry Bhadeshia
Advisor, Steel
Tata Steel Chair of the University of Cambridge, with decades of experience in Steels research and strong links to steelmakers globally.
Team
Osas Omoigiade, PhD
CEO, Co-founder
PhD in Metallurgy from Imperial College London with expertise in novel manufacturing steel methods and Masters from the University of Cambridge.
Andrea Accatino
Head of Design
Product Designer, focused on UX and UI, from the Politecnico of Turin (Italy) with expertise in Agile design for industry.
Deepak Patidar
Full Stack Developer
Bachelors in Computer Science (Networks) from the University of Hertfordshire with experience of working with bleeding edge full-stack tools to develop and deploy high performance, and high quality software.
Endrias Ergetu
Machine Learning Engineer
Masters from the University of Queensland with 7 years experience applying advanced statistical and machine learning techniques to domains ranging from manufacturing to medicine.
Advisor
Prof. Harry Bhadeshia
Advisor
Tata Steel Chair of the University of Cambridge, with 45 years in Steels research and strong links to steelmakers globally.
Do you want to be part
of our Team?
check our open positions or send us your application at team@deepmeta.io
