Experts from Pharma, Data Science, and Machine Learning | datafoundry
Datafoundry Meet Team

Datafoundry is a data science company at the forefront of the AI revolution. Our team are experts in their respective fields to create innovative solutions for your business.

Datafoundry CEO

Vivek Kalagara

Chief Executive Officer

Vivek has over 23+ years of experience building innovative technology solutions to solve business problems in the Life Sciences industry.Vivek has worked with several big pharma companies in technology leadership roles focused on Data Sciences before founding Datafoundry in 2016 with a vision to bring the power of AI/ML for better health outcomes.

Datafoundry COO

Lakshmipathi Sattaru

Chief Operating Officer

Lakshmipathi (LP)has 24+ years of Engineering and IT experience in software product development, IT Application and Infrastructure Support Service delivery to enable Functional Transformation of businesses. Ex-Honeywell and Amazon. At Datafoundry, LP heads the Product Engineering and Delivery Operations.

Datafoundry CTO

Saurav Roy

Vice President Engineering and Machine Learning

Having over 23 years of experience in Life Sciences and Healthcare, Saurav Roy has worked for the past decade as an Enterprise Architect and is well versed in AWS, Azure, and GCP. He was previously with Parexel, HP, and Philips before joining Datafoundry.

Kalyani Korla Datafoundry

Kalyani Korla

Director, Product Management

Kalyani leads Product Management at Datafoundry, bringing 14+ years of experience in building AI-driven products for regulated industries. With a background spanning scientific research and technical program leadership, she turns complex user needs into clear product roadmaps and scalable features that deliver measurable value for life sciences teams.

Datafoundry COO

Dr. Kotapally Harish Kumar

Engineering Manager-ML

Harish leads the Machine Learning engineering function at Datafoundry. He brings deep expertise in applied AI, mathematical modelling, and scalable systems. His work focuses on developing reliable, high-performance ML capabilities that power the platform's safety intelligence and predictive analytics.