Innovative. Passionate. Committed.
Linear Squared is a technology company specialized in building products that deliver ready-to-action insights using AI and big data technologies for businesses across multiple industries. At the forefront of innovation, Linear Squared brings together cutting-edge technology and native industry understanding to aid data-backed strategic decision-making and execution.
Co-founded by a passionate team with a vision to deliver ready to use AI and ML driven products that convert data to proactive actions, Linear Squared adopts data and algorithms for businesses through specialized, transformative products. The company has succeeded in rallying a veteran group of industry-tested technocrats and young talent to champion the company’s ambitious vision.
Adding to the credentials of the company, Linear Squared is backed by an eminent board of directors of tech investors, and partners some of the world’s biggest technology outfits.
Since its founding in 2015, the company has grown in leaps and bounds to achieve a presence in major Asian markets with expansion initiatives underway to enter key global markets.
Offering a robust and comprehensive suite of products designed to operate in a cloud environment with minimum configuration, Linear Squared services industry front-runners across multiple geographic regions, ensuring that new prospects are in great company and are assured of success.
MEET THE TEAM
With a great pool of Data Scientists in Sri Lanka, we have some of the best minds working with us to solve the toughest problems which you may have.
Sankha Muthu Poruthotage
Chief Executive Officer/ Co-founder
Sankha is a co-founder of Linear Squared. He holds a Ph.D. in
Statistics from the University of Connecticut, USA.
Sankha specializes in classification techniques using both parametric models and machine learning algorithms, regression and GLM models, clustering and segmentation techniques, survival models, change point detection and sequential techniques.
Senior Vice President- Sales/ Co-founder
Mohit is the former Country Manager – India, Google Cloud. Prior to
Google, Mohit held senior leadership roles with Microsoft in India and
South East Asia.
Mohit is a well known Tech Industry Leader across India and South East Asia. He has extensive experience working across the Tech and Digital Landscape, building businesses and leading high performing teams across India and South East Asia. In his last role, Mohit founded and led the Cloud business for Google in India.
Vice President - Customer Insights/ Co-founder
Rajith is a co-founder of Linear Squared who holds a Master’s in
Financial Economics from Imperial College London and a second
Master’s in Economics from the University of Colombo. He is also a
fellow of Charted Institute of Management Accountants UK and an
advisor on financial and econometric modeling for the Central Bank
of Sri Lanka.
He specializes in forensic accounting, fraud detection models, time series forecasting and econometric models.
Cheif Technical Officer
Prabath is a former Google software engineer and entrepreneur who holds a PhD in Computer Science from University of California, Santa Cruz, USA. He has many years of experience in the software industry working with Big Data, Parallel Computing and Data Mining algorithms.
Vajira De Silva
Vice President - Customer Success
Vajira is a seasoned professional in ICT sector with expertise gained
in the areas of enterprise solutions architecture, project management,
product management, strategic sourcing, partner management,
enterprise pre-sales and core telecommunication engineering.
Vajira is a BSc engineering graduate of University of Moratuwa and gained his Masters in Telecommunication Engineering and Masters in Business Administration from University of Melbourne and University of Leicester respectively.
We are interested in individuals with proven software development credentials with few years of working experience and a keen interest in data science domain.
We are interested in individuals with a rigorous quantitative background, ideally with a post graduate qualification in mathematics, statistics or computer science.