As a machine learning engineer, I was responsible for designing and implementing artificial intelligence models for edge devices to solve a variety of business problems. This involves working with large datasets to identify patterns and trends, and using this information to train and optimize AI models. In addition to developing these models, I was also responsible for creating end-to-end pipelines to deploy and manage them in a production environment.As part of my role, I was responsible for gathering and cleaning datasets to ensure that they are suitable for use in AI models. This involves working with a team of data scientists and engineers to identify and address any issues with the data.In addition to technical responsibilities, I also managed a team of 15 datafarm professionals. This will involve setting goals and objectives for the team, providing guidance and mentorship, and ensuring that team members are working effectively towards their goals.

As an Embedded Systems intern with a focus on hybrid vehicle development, I was responsible for designing and implementing innovative solutions using embedded systems and Internet of Things (IoT) technologies.One of my primary responsibilities was to design a device for measuring RPM (revolutions per minute) using embedded system concepts. This will involve choosing the appropriate hardware and software components, writing code to control the device, and testing and debugging the system to ensure that it meets all functional requirements.In addition to the RPM measuring device, I also designed a temperature and moisture sensing device using IoT technologies. This will involve choosing sensors and connectivity options, implementing communication protocols, and integrating the device into a cloud-based platform for data collection and analysis.As part of my role, I was also responsible for developing a hybrid strategy for 2-wheeler vehicles to improve fuel efficiency, and working with a team of engineers to design and implement solutions.