Gagan Parmar

My Story

Hey ✋I am Gagan,Currently working as a Senior MLOPs Engineer for Qualys.

As a Senior MLOps Engineer, my journey has been a blend of relentless learning and strategic implementations. I started my career as an IoT Engineer focused on the Firmware for hardwares(STM32, ESP8266, Raspberry PI) and software development, but soon realized the transformative potential of machine learning. This realization steered me towards MLOps, where I could amalgamate my software skills with machine learning to build scalable and efficient AI systems.
Over the years, I've led the MLOps workstreams to integrate AI capabilities into various applications, optimizing workflows and enhancing decision-making processes. My role involves setting up robust ML pipelines, ensuring model reliability, and maintaining the infrastructure needed for seamless operations. Each project adds a new chapter of knowledge and experience, pushing me to innovate and drive forward the future of AI technology.

Tools & Technologies

Languages

Cloud Platforms

Data Analytics Tools

CI/CD Tools

Database

DevOps Tools

Featured Projects

An MLOps platform with plug and play capabilities

A platform designed to empower data engineers and data scientist teams to effortlessly utilize the complete MLOps lifecycle. This platform seamlessly integrates tools and technologies to facilitate efficient model development, training, deployment, and monitoring.

Vibration monitoring System

A POC(Proof of concept) for the vibration analysis of the equipments on vessel using NodeMcu/STM32 micro-controller board and single/three-axis accelerometer. Vibration monitoring is the most reliable method for assessing the overall health, or change in health, of rotating hardware on Vessel.

An IoT Based Low cost Pollution Monitoring system

A prototype for an Environmental air Pollution Monitoring System for monitoring the concentrations of major air pollutant gases has been developed. The system uses low cost air-quality monitoring nodes comprises of low cost semiconductor gas sensor with Wi-Fi modules. This system measures concentrations of gases such as CO, CO₂ , SO ₂ and NO₂ using semiconductor sensors.

Gagan Parmar Senior MLOps Engineer