About CloudLeap™ Us
Founded in 2010, we are a software development firm that serves government agencies (federal, state, and local) and private organizations. Our turnkey solutions include software development using open-source technologies that dovetail into the Big Data engineering space. We also help clients securely store, manage, and analyze data using innovative tools such as Artificial Intelligence (AI) and Machine Learning (ML).
Our cutting-edge software tools and technologies help clients across various sectors achieve great results.
CloudLeap™ Technologies, LLC is an SBA-certified small HUBZone business located in Baltimore, MD. Firmly committed to the letter and spirit of the HUBZone program, we received our certification in 2018. The HUBZone program is a driving force behind our business strategy because we firmly believe that it helps create new jobs and education opportunities for those living in the neediest geographic areas – including Baltimore.
For 12+ years, our innovative, award-winning application development services have supported clients – services that include Big Data & Analytics, Machine Learning, Artificial Intelligence, Identity, and Access Management. Leveraging relationships with Cloud partners has helped us build AI and ML products that solve our clients’ complex and challenging data problems.
Meet Our Founder
Mr. Prashant Shah
President of CloudLeap™ Technologies, LLC
Prashant’s story is an American story, an immigrant story. He immigrated to this land of opportunity at age 24. He came to the United States at age 24 with only a few hundred dollars in his pocket and a suitcase with his personal belongings.Read More
Overcoming a lot of financial difficulties, Prashant obtained a Master’s Degree in Industrial Engineering from Louisiana State University. He spent the next 23 years as a contractor building and managing IT systems for major federal agencies including: Department of Homeland Security (DHS) – United States Citizenship and Immigration Services, The Federal Protective Service and US Customs and Border Protection, Environmental Protection Agency (EPA), National Association of Securities Dealers (NASD now FINRA), National Institutes of Health (NIH), US Department of Veterans Affairs – Veterans Benefits Administration (VBA) and Veterans Health Administration (VHA) and United States Patent and Trademark Office (USPTO).
Prashant’s recent projects include supporting Big Data/Analytics, Artificial Intelligence (AI), Machine Learning (ML) and Identity, Credentialing and Access Management (ICAM) / Access Control Solutions (AcS).
Prashant was a member of the original team at the National Cancer Institute that initiated, designed and developed the first iteration of a big data project called Rembrandt that enabled NIH researchers to superimpose genetic and clinical data to further cancer research. The project was the recipient of the 2005 Service to America Medal.
Our Partnership with Databricks
We are excited to announce that we have partnered with Databricks, the big data and AI company, to help organizations drive business value by transforming them into insights-driven enterprises. With origins in academia and the open-source community, Databricks are the creators of Apache Spark, Delta Lake and MLflow and provide a cloud based (Azure and AWS) platform for working with Apache Spark. Built on a modern Lakehouse architecture in the cloud, Databricks combines the best of data warehouses and data lakes to offer an open and unified platform for data and AI.
Amazon Web Services Partner Program
As a member of the AWS Partner Network (APN), we build custom solutions for our customers on the AWS cloud. With our deep expertise on AWS and building big data, analytics and machine learning solutions on AWS, we are uniquely positioned to help our customers at any stage of their cloud adoption journey and to help them achieve their business objective.
We leverage AWS to provide to build our customers data lake and analytics solutions. We provide the following big data & analytics services on AWS: Data Movement, Data Lake, Analytics and Machine Learning using technologies such as AWS Direct Connect, Amazon Kinesis Data Firehose, Amazon S3, Amazon Glacier, AWS Glue, Amazon EMR, Amazon Kinesis and Amazon Redshift.