Sherief KhorshidFounder, Data Scientist & Developer
Prior to establishing Three Springs Technology, Sherief Khorsid, worked for Morgan Stanley as an Executive Director in Hong Kong. He has over 20 years experience in developing trading and related software for hedge funds and investment banks. Sherief is now working in IT management & Data Science.
He is fluent in several programming languages and has experience with cloud providers (AWS & Azure). Sherief has a track record for managing successful teams and has a delivery focussed approach. Sherief has a BSc from UWA.
Mike ClarkDirector, Data Scientist & Developer
Before working in machine learning Michael Clark worked in oil and gas. At OMV and Schlumberger he used his MSc in Petroleum Geoscience to work with exploration and production data in New Zealand and Australia.
Since moving to machine learning in 2016 he started ThinkCDS who specialize in geospatial, satellite and point cloud applications of machine learning. Since then he has taken many machine learning projects through planning, development, and commercial deployment. His preferred style of working is with agile experiments that will quickly prove or disprove an approach.
James TeldersDirector & Business Development Officer
James joined Three Springs Technology in 2019. He is responsible for driving new strategic and commercial initiatives.
James has a background in Finance with 10 years of experience in investment banking. He was a Vice President in the M&A department at Dresdner Kleinwort Wasserstein in London. In the aftermath of the GFC he moved to Qatar where he worked at the Emirate’s Sovereign Wealth Fund, QIA, doing direct investment deals. He worked on several high profile Technology investments in the US and China.
James holds a MSc degree in Economics from Erasmus University in Rotterdam, the Netherlands. He is also a Chartered Financial Analyst from the CFA Institute.
Nick ThomsonData Scientist & Developer
With a BSc in Pure Mathematics from UWA and 6 years commercial experience in Analytics, Machine Learning and programming in C++ and Python Nick has delivered solutions where he applied computer vision AI in the field of exploration geophysics.
Nick is also a highly regarded member of PMLG ( Perth Machine Learning Group)
Ivana S.Frontend Web Developer
A developer with BSc (Hons) and a background in statistics. Ivana has been coding for several years on a range of projects, in different environments and teams, with a focus on modern frameworks such as React and dashboard libraries like D3 and dygraphs. She prefers React over Angular and prefers Bayesian rather than frequentist approaches.
Uzair NadeemData Scientist and Machine Learning Expert
With more than 4 years’ experience in Machine learning, Data Science and Computer Vision, Uzair joined Three Springs Technology in 2020. Prior to entering in the field of Data Science, he completed Bachelors of Electrical Engineering from NUST, Pakistan with distinction.
Uzair has won multiple awards and scholarships during his career. He is also the author of several research publications and book chapters, and won the best paper award at ICONIP 2019. Uzair is also a member of the Asia Pacific Neural Network Society and the Australian Pattern Recognition Society. He is passionate about seeing projects through to completion.
Founded in 2016 in Perth by Sherief Khorshid, Three Springs Technology are specialists in Data Science and Machine Learning. We have a proven track record in successfully delivering AI solutions to real world problems. Our solutions are currently being used worldwide by practitioners and decision makers in healthcare, fintech, oil & gas, mining and media.
- We’re specialists in the common Deep Learning frameworks like Pytorch, Tensorflow and Keras, which is underpinned by our strong background in math
- We’re fluent in any most commonly used programming languages: Python, C++, Java, C# and Haskell.
- We’re experts in database vendor products such as KDB+ /q, SQL relational databases and No-SQL products like MongoDB and DynamoDB.
- We use cloud providers such as AWS, AZURE and Google Cloud.
- We have domain experience with industry specific protocols and standards such as DICOM and DICOM Networking Protocol used in Health and the FIX Protocol used in Finance.
- Software architecture experience: Bespoke solutions include data reporting dashboards, cloud hosted scalable API’s that leverage docker containers, software libraries designed for your use case.
Our team of seasoned data scientists have a combined 40+ years of professional experience in Machine Learning, with the breadth and depth of knowledge to take on the most complex of challenges. In our initial consultation we will let you know what can and can’t be done using the very latest of technologies. We offer you an end-to-end approach: from technical architecture to development and implementation, as well as ongoing support services.