“When the going gets tough, the tough get going”, isn’t it? Only strong and determined individuals can survive the odds and create history. And, one such API digital technologist is Mani Manavalan, an individual who is curious to know the why’s and how’s of every problem and find out solutions that never existed. Having authored 19 articles on API, Artificial Intelligence, Machine Learning, and the Internet of Things, Mani Manavalan has challenged the norms and set an industry benchmark. This article provides a detailed view on various problems and challenges in API, API and IoT. As an eminent researcher and renowned author of scientific literature in API, AI, Machine Learning, and the Internet of Things, Mani Manavalan has proved his expertise by delivering innovative business solutions for leading enterprises.
Mani Manavalan was born in Sengal, a small village in Karur, Tamil Nadu, India. He grew up with an elder sister - Kalpana, raised by parents Manavalan and Menaka. His father during that time worked as a truck driver, and his mother, a housewife.
Mani Manavalan completed his high school education from a Government Higher Secondary School in Karur. During this time he received several awards for his educational excellence and was even featured in local newspapers.
In 2004, Manavalan enrolled in Anna University, where he pursued a bachelor’s degree in Electronics and Communication.
Mani Manavalan started his career in 2008, right after completing his bachelor’s course. He joined Lucid Software Limited as a software engineer, where he worked for two years. In 2010, Manavalan joined Accenture as a senior programmer, where he served for over two years.
In 2012, Mani Manavalan started working at L&T Infotech as a technical architect, where he worked for over six years. He also served internationally while working with this firm, moving between Sweden, the Netherlands, Germany, the United Arab Emirates (UAE), Saudi Arabia, and the USA.
In 2018, Mani Manavalan joined Cognizant as a technology architect, where he served for over two years. As of 2021, Manavalan is a senior manager at Capgemini America.
Mani Manavalan has done numerous certification courses such as 70-532: Developing Microsoft Azure Solutions, Microsoft MCTS 70-241 issued in 2009, AGILE Methodologies issued in 2013, Dell Boomi Associate Developer issued in 2017, Apigee Trained API Engineer issued in 2019, Apigee Certified Professional API Engineer issued in 2019, SAFe for Teams Course (5.0), Scaled Agile, Issued in 2020, SAFe Scrum Master Course (5.0), Scaled Agile, Issued in 2021, TOGAF Certification Program, The Open Group, Issued in 2021, ITIL Foundation Level issued in 2021
With more than 19 research articles published in Scopus and other prestigious publications and with a total of 145 citations, Mani Manavalan envisions changing the world with the power of technology. Mani Manavalan is a cultivator of innovations in the IT industry and loves to share his knowledge with the community. He has published several research papers in well-known and renowned journals such as ABC Journal of Advanced Research, International Journal of Reciprocal Symmetry and Physical Sciences, etc. In his article “A Single Long Short-Term Memory Network Can Predict Rainfall-Runoff at Multiple Timescales”, he proposes a pair of Multi-Time Scale LSTM or MTS-LSTM frameworks for forecasting a multiplicity of timescales in a single model.
Mani Manavalan has a phenomenal potential to identify challenges and an enormous set of strategies to overcome them by creating high impact solutions, with broad experience in several middleware technologies and remarkable research expertise encompassing areas such as AI, Machine Learning, Cloud Computing, and several others.
With a vision to build a better world with Digital APIs, AI, ML, and IOT, Mani Manavalan is marching forward in his journey. To know more about Mani Manavalan and his contributions, click https://wikitia.com/wiki/Mani_Manavalan
