Akshay Dalav AI
About Akshay Dalav AI
Akshay Dalav is a Software Engineering Manager at CarePredict, Inc, where he has worked since 2021. He has a background in software engineering and data science, with experience in managing development teams and implementing scalable backend solutions.
Work at CarePredict
Akshay Dalav currently serves as a Software Engineering Manager at CarePredict, Inc. since 2021. In this role, he manages offshore software development teams of approximately eight individuals, focusing on enterprise web and mobile applications. He has been instrumental in the development of CareVoice, a feature on the Tempo wearable for seniors, overseeing the project from concept to launch and designing its entire architecture. Additionally, he developed the backend logic to process messages from mobile devices to the Tempo wearable, a feature that debuted at CES 2022.
Education and Expertise
Akshay Dalav is pursuing a Master's degree in Computer Engineering at Syracuse University, a program he has been enrolled in since 2019. He previously earned a Bachelor of Engineering in Electronics and Communications Engineering from Visvesvaraya Technological University, completing his studies in 2017. His educational background provides a solid foundation for his expertise in software engineering and data science.
Background
Before joining CarePredict, Akshay Dalav worked as a Data Science Intern at MDVIP from 2020 to 2021, where he gained practical experience in data analysis and application development. He also worked as a Software Engineer at ChinaSoft International from 2018 to 2019 in Bengaluru, India. His diverse work experience has contributed to his skills in software development and team management.
Achievements
During his tenure at CarePredict, Akshay proposed and successfully implemented a horizontal scaling strategy for backend applications, which improved server load balancing. He collaborates with the Data Science team to design and deploy machine learning algorithms, focusing on production efficiency. His contributions have significantly impacted the development and functionality of CarePredict's products.