Umar Khan

Umar currently works at SelfDecode as the Lead Data Engineer. His mission is to explore and innovate the next generation of AI technology. He has a wide range of interdisciplinary expertise, with over 7 years of experience as a CTO and Software Engineer as well as extensive knowledge of Natural Language Processing systems. Before joining SelfDecode, he collaborated with the University of California Berkeley on a research partnership. This partnership aimed to apply topic modeling and other AI models to solve financial compliance problems and fill scaling gaps in regulatory oversight.

Throughout his career, he has built countless data mining and analytics systems on top of both structured and unstructured data sets. He also successfully led a bid to enter the HotDesq program (a government initiative program in Queensland, Australia) with the objective of scaling up innovative tech start-ups from all over the world. One of his several great achievements in recent years was leading a successful bid for an IBM grant to build a SaaS platform for DataOps and MLOps.

He has a passion for science and technology and is excited to be using his leadership and experience in AI/ML to solve the world’s biggest challenges in genomics and precision medicine.