About

Arpitha Upadhyaya is a highly skilled problem solver and researcher with over 15 years of industry experience, including 13 years in healthcare IT. She is a dedicated and determined professional who enjoys facing challenges and solving complex problems. Arpitha has extensive programming experience in C#, SQL, Python, VB6, CCL, C++, VC++, and related technologies. She is proficient in implementing new enhancements and support activities, planning, executing, and monitoring projects. Arpitha has expertise in working with Cerner Millennium applications and solutions, from patient registration to scheduling, ordering, completion of exams, reporting of exams, DA reporting, and more. Arpitha is currently pursuing a Masters in AI and ML from Liverpool John Moores University and has completed a PGD from IIITB to further explore her analytics skills and build expertise with Python, Machine Learning, and computer vision applications in Machine Learning. She has experience working with big data ecosystems such as NoSQL, machine/deep learning models such as ANN, CNN, LSTM, RNN, and data visualization tools such as MySQL, Matplotlib, scikit-learn, statsmodel, neural networks, and XGBoost. Arpitha is also knowledgeable in business analysis with JIRA, tools, and version control such as Tortoise SVN, GitHub, CI/CD, and Jenkins. Currently, Arpitha is working as a Manager of Software Engineering at Twilio. In the past, she has worked as a Senior Engineering Manager and Engineering Manager at Cerner. Arpitha has a Bachelor's degree in Electrical and Electronics Engineering from Dr. Ambedkar Institute of Technology, Bangalore, and completed her high school education at Sri Vani Education Centre. Arpitha's technical skills and relevant experience include ML, SQL, computer vision, AI, Python, deep learning, research scientist, XGBoost, CNN, RNN, NLP, Scikit, CI/CD, big data, senior software engineer, test, Javascript, neural networks, NoSQL, Jenkins, and more. Arpitha is a passionate learner who believes that the more she learns, the more she realizes that she knows less. She is committed to keeping her spirit of learning alive and continuously improving her skills and knowledge in the field of AI and ML.