Nikhil Shekhar
About Nikhil Shekhar
Nikhil Shekhar serves as the Chief Technology Officer at Sparkflows, a position he has held since 2022. He has a strong background in computer science and engineering, with extensive experience in machine learning, big data technologies, and software development.
Work at Sparkflows
Nikhil Shekhar has served as the Chief Technology Officer at Sparkflows since 2022. In this role, he oversees the technological direction of the company, implementing strategies that leverage advanced technologies to enhance product offerings. His leadership is pivotal in driving innovation and ensuring that Sparkflows remains competitive in the rapidly evolving tech landscape.
Education and Expertise
Nikhil Shekhar holds a Bachelor of Engineering in Computer Science from Dayananda Sagar College of Engineering, Bangalore, which he completed from 2005 to 2009. He further advanced his education by obtaining a Master of Science in Computer Engineering with a focus on Machine Learning and Artificial Intelligence from the University at Buffalo, from 2015 to 2017. His academic background provides a strong foundation for his expertise in distributed systems, large-scale data analytics, and MLOps.
Professional Background
Nikhil Shekhar has a diverse professional background in technology and data science. He began his career as a Software Developer at Infosys from 2009 to 2012. He then worked at Cognizant as a Big Data Developer from 2012 to 2014, followed by a role as a Senior Big Data Developer at Impetus from 2014 to 2015. Nikhil gained significant experience at H2O.ai, where he held various positions including Data Science Intern, Software/Machine Learning Engineer, and Senior Software/Machine Learning Engineer from 2016 to 2022.
Key Contributions and Projects
During his tenure at H2O.ai, Nikhil Shekhar contributed to the development of DriverlessAI, focusing on features such as AutoVis, Explainable AI, and Multinode DAI. His master's project on 'Forensic Handwriting Verification using Deep Neural Nets' exemplifies his ability to apply deep learning techniques to practical challenges. Nikhil has developed expertise in operationalizing machine learning models, enhancing the efficiency of data-driven solutions.