About

Gagan Parmar is an experienced MLOps Engineer with a passion for developing end-to-end IoT-based solutions. He has a deep understanding of the latest IoT practices, protocols, cloud platforms, and trends in embedded systems. Gagan has a diverse range of skills, including experience with Docker, Kubernetes, CI/CD tools, and pipelines. He also has hands-on experience in working on cross-platform programming and a good understanding of HAL APIs and registers. Gagan's technical expertise extends to Raspberry Pi 3, Pi zero, Microcontrollers: ARM Cortex M4 series, 8051, NodeMcu, and MCU peripherals such as WDT, I2C, SPI, Timers, ADC, DAC, PWM, Interrupt Handling. He has worked with IDE/Software Tools such as Keil uVision 5, Eclipse, STM32 system workbench, and has hands-on experience with AWS EC2, Azure VM, Azure DevOps, and Azure Services. Gagan is currently working as an MLOps Engineer at quantumblack, ai by mckinsey. Prior to this, he worked as a DevOps Engineer at Navidium plc. He holds a PG Diploma in IoT from the Centre for Development of Advanced Computing (C-DAC), a Master of Technology (M.Tech.) in Embedded Systems from Devi Ahilya Vishwavidyalaya, and a Bachelor of Engineering (B.E.) in Electrical, Electronics, and Communications Engineering from Shri Vaishnav Institute of Technology and Science. Gagan's tech stack includes AWS, Azure, CI/CD, Docker, Kubernetes, Python, DevOps, Terraform, Image Processing, Test, ML, MongoDB, Microservices, Flask, UI, and Software Engineering. With 3.78 years of relevant experience, Gagan is a highly skilled and motivated engineer who is always looking to learn and grow in the rapidly evolving field of IoT.