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Suneeta Mall

Head Of AI Engineering at Harrison.ai

Suneeta Mall has a diverse work experience in various companies and roles. Suneeta is currently the Head of AI Engineering at harrison.ai. In 2022, they also worked as an Author for O'Reilly Media, where they wrote a book on "Deep Learning at Scale - At the Intersection of Hardware, Software & Data."

Prior to that, Suneeta worked at Nearmap from 2016 to 2022, holding positions such as Director of AI Model Systems, Principal Machine Learning Engineer, Senior Data Scientist, and Senior Software Engineer.

Suneeta also worked as an Author for O'Reilly Media in 2020, where they authored scenario-driven hands-on learning courses on reproducible Deep Learning and reviewed technical books on Machine Learning and Deep Learning topics.

Before Nearmap and O'Reilly Media, Suneeta worked as a Senior Software Engineer at RoZetta Technology/Sirca from 2015 to 2016 and at Wotif Group/Expedia from 2014 to 2015, where they focused on designing and developing various software components and services.

Earlier in their career, Suneeta worked as a Software Developer at Clarity from 2012 to 2014, contributing to building operation/business support system products for the telecommunication industry.

Suneeta started their professional journey at IBM in 2007 as a Staff Software Engineer, where they worked on building collaboration and analytics products for clients.

In addition to their corporate experience, Suneeta has also worked as a Visiting Faculty at Symbiosis Center for Information Technology and as a Summer Intern at the Indian Institute of Technology, Kanpur.

Overall, Suneeta Mall has significant expertise in AI, machine learning, software engineering, and authoring technical books and courses.

Suneeta Mall has a diverse education history. Suneeta began their academic journey in 2003 at Harcourt Butler Technological Institute in Kanpur, India, where they pursued a Bachelor of Technology (BTech) degree in Computer Science and Engineering. Suneeta successfully completed their undergraduate studies in 2007.

After obtaining their BTech degree, Suneeta continued their education at the University of Sydney in Australia. From 2013 to 2015, they pursued a Master's degree in Health Science, focusing on Breast Cancer. Following their Master's, Suneeta furthered their academic pursuits by enrolling in a Doctor of Philosophy (Ph.D.) program at the University of Sydney. Their Ph.D. specialization was in Medical Imaging and Perception. Suneeta dedicated herself to their doctoral studies from 2015 to 2019, culminating in the successful completion of their Ph.D. degree.

In addition to their formal degrees, Suneeta has also attained several certifications to enhance their expertise. Some notable certifications include the NVIDIA DLI Certificate in Fundamentals of Deep Learning for Multi-GPUs obtained from NVIDIA in March 2020. In 2013, they completed the Functional Programming Principles in Scala certification offered by Coursera. Furthermore, they attained certifications in Computing for Data Analysis and Machine Learning from Coursera in October and July 2013, respectively. Earlier in their career, Suneeta obtained certifications such as Java EE 5 Web Services Developer from Oracle in September 2010, Sun Certified Business Component Developer from Sun Microsystems in March 2010, and Sun Certified SOA Associate from IBM in July 2009. Additionally, they achieved the IBM Certified Solution Developer - XML 1.1 and Related Technologies certification from IBM in December 2009. Suneeta also has certifications from Sun Microsystems, including Sun Certified Web Component Developer obtained in October 2008 and Sun Certified Java Programmer completed in August 2008.

In summary, Suneeta Mall possesses a Bachelor's degree in Computer Science and Engineering, a Master's degree in Health Science with a specialization in Breast Cancer, and a Ph.D. in Medical Imaging and Perception. Suneeta has also earned various certifications that demonstrate their broad knowledge and expertise in areas such as deep learning, programming languages, data analysis, and web development.

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