With women still struggling to smash the glass ceiling in STEM (science, technology, engineering, and mathematics), it is interesting to learn that one of the leaders at the center of society’s transition to AI/ML is Mona Mona. An AI/ML Customer Engineer at Google, Mona guides companies to implement ML and cloud computing in their daily operations.
Her skills and in-depth understanding of one of the world’s most technical industries have earned her the respect of her peers and made her a frequent panelist at national conferences. In the last few years, Mona has focused on bringing her knowledge to a wider audience: as a writer, she has published Natural Language Processing with AWS AI Services, which made the list of the top natural language processing books of all time and is part of Georgia State University’s curriculum.
She has also written 19 blog posts and multiple technical articles. She will soon release her book Google Cloud Certified Professional Machine Learning Study Guide, aimed at helping students and professionals who would like to work in ML and cloud computing. Her efforts to help cement the AI/ML architecture across industries have one goal: a society that is more efficient and prosperous for everyone.
Before carving out her 10-year career in software design, development, and integration, Mona earned her bachelor’s degree in Computer Science in India. Her dream was to come to the United States and continue her education so that she could go further in AI/ML and cloud technology.
“I knew that artificial intelligence was going to play an exciting role in society, and I wanted to be part of it,” Mona recalls. “So, I came to America and enrolled at Georgia State University, where I earned my master’s degree in Computer Information Systems.”
After graduating from Georgia State University in 2017, Mona joined Amazon in AWS Worldwide Public Sector as an Associate Solutions Architect in the Tech U program, which develops young talent to become Enterprise Cloud Architects. She eventually became an AI/ML Solution Architect in order to pursue her passion for AI/ML. She found it incredible to guide customers to adopt ML on a large scale using flexible, resilient cloud architecture.
As Mona grew her skills and leadership ability, she began to mentor many associates who were also interested in working in AI/ML. She says it became very important to her that she guide solution architects in how to transition to an AI/ML role, believing that in the coming years, AI/ML will be everywhere.
“We will need more people to help in this domain. That’s why I developed several courses for AWS AI/ML Certification Speciality Exam Readiness and Google Cloud Certified Professional Machine Learning Study Guide,” she explains. “I wanted future test takers to have the tools they need to be successful.”
Mona joined Google as an AI/ML Customer Engineer for the Google Cloud Platform in November 2021. She has found her job to be both challenging and rewarding, and she embraces her role in helping healthcare, life science, and public sector customers to build and architect Cloud-based machine learning solutions.
One of Mona’s biggest goals is to simplify AI/ML for anyone who wants to understand it despite having no background in it. “I began writing blogs and articles because I wanted to solve real-world problems with AI and Cloud,” she reveals. “Cloud makes things simpler, and blogs help anyone adopt the use cases into their organization. This technology is having a profound impact on our lives, and I want to pass on what I know to other people so that our society will become stronger and more developed.”
In addition to her two books, Mona has written technical articles that include “RAD Lab AlphaFold Module for Researchers” and a whitepaper titled “Machine Learning Best Practices for Public Sector Organizations, among others. During the COVID pandemic, Mona also co-authored a research paper that evaluates AWS CORD-19 Search (ACS), a neural, natural-language-based search engine powered by ML.
Due to her ability to explain complex concepts in easy and engaging ways, Mona has become a sought-after SME/speaker at industry conferences and online. She presented on the RadLab Module on Technology Track at the ISCB (International Society for Computational Biology) Conference in 2022. The ISCB is a leading professional society for computational biology and bioinformatics. Mona also gave her insights into AI on Analytics Vidhya on Google Cloud AI in Data Power Hour.
Analytics Vidhya is one of India’s largest communities for Data Science, Machine Learning, and Analytics and has a customer base of more than 1.5 million across the globe. Due to the popularity of her session, she was invited to speak again in this forum on Career Guidance and a Cloud ML session in March 2023. Next on her schedule includes speaking on “How to become a AI/ML Cloud architect” on April 19, 2023, at the Analytics Vidhya platform.
Mona cares about mentoring the next generation of female STEM workers. Through the Society for Women Engineers (SWE), she is acting as a judge for the SWE Scholarship program for graduate students. Mona is also working as a technical reviewer for books on AI/ML and Google Cloud technology from O’Reilly and Packt Publications.
Her work to advance her industry and society has not gone unnoticed. Recently, Georgia State University named her as an inspiring alumni for undergraduates and graduates. She says that it was a tremendous honor for her alma mater to recognize her achievements.
“I am excited about society’s interest in using AI/ML to reinvent business and our world,” says Mona. “As an SME in cloud computing and machine learning, I believe that we are just beginning to scratch the surface of what this incredible technology can do. With my books and sessions, I am trying to guide as many IT professionals as I can to make a career in AI/ML and Cloud technology.”
To connect with Mona Mona and learn more about AI, machine learning, natural language processing, and cloud computing, please see her website or LinkedIn.