Vishwajeet Singh Rana
About Vishwajeet Singh Rana
Vishwajeet Singh Rana is a Lead AI Engineer at QuEST Global in Bengaluru, India, with over 12 years of experience in IoT and Data Science Development and Training.
Current Position at QuEST Global
Vishwajeet Singh Rana is currently employed at QuEST Global as a Lead AI Engineer in Bengaluru, Karnataka, India. In this role, he is responsible for leading AI engineering projects and initiatives, leveraging his deep expertise in artificial intelligence, machine learning, and data science to drive business outcomes.
Previous Roles in Technology Companies
Before joining QuEST Global, Vishwajeet held several notable positions in the technology sector. He was a Machine Learning Engineer at Innovians Technologies from 2017 to 2021, located in India. Prior to that, he served as a Senior Embedded Engineer at Entrench Electronics in Noida, India, from 2015 to 2017. His career also includes a role as Technical Head at ROBOSAPIENS TECHNOLOGIES Pvt. Ltd. in Noida, India, from 2013 to 2015.
Educational Background
Vishwajeet Singh Rana completed his Bachelor of Technology in Electrical, Electronics, and Communications Engineering at Shobhit University, where he studied from 2007 to 2011. His educational background has equipped him with a strong foundation in electronic systems and communications technologies.
Experience in AI and Embedded Systems
Vishwajeet has extensive experience in developing and offering training on various advanced technologies. His areas of expertise include Embedded System Programming, Micro-controller and Microprocessor Programming, Robotics, MATLAB, Machine Learning, Android App Development, and Image Processing. He is skilled in Firmware Development for 8/32-bit microcontrollers and peripherals and has significant knowledge of programming languages such as Embedded C, Arduino, ARM 32/64-bit, JAVA, and Python.
Expertise in IoT and Data Science
Over his career, Vishwajeet has amassed over 12 years of experience in IoT and Data Science development and training. He has developed IoT connected edge devices using C/C++ and gateway applications using Node.js, Python, and Java. His expertise also extends to IoT and Cloud Data Streaming and Messaging using protocols and technologies like MQTT, Web Socket, UDP, TCP/IP, HTTP, REST, Spark Streaming, Kafka, AMPQ, and RabbitMQ.
Technical Skills and Project Management
Vishwajeet possesses a deep understanding of initiating applications with data structures and algorithms, as well as artificial intelligence, machine learning, and deep learning frameworks like Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN). He actively contributes to business and systems analysis, identifying business improvements and information systems solutions. His experience includes coordinating and scheduling projects, developing and monitoring project plans, and managing end-to-end project delivery, particularly at Honeywell Technology Solution.