Gagan Saini

DevOps Engineer

United Kingdom2 yrs 5 mos experience

AI ML PractitionerAI Enabled

Key Highlights

Reduced deployment times by 30% through optimized pipelines.
Improved system uptime by 25% with automation scripts.
Expertise in CI/CD and machine learning for efficient workflows.

Stackforce AI infers this person is a DevOps Engineer specializing in SaaS with strong capabilities in cloud solutions and machine learning.

Contact

sainigagan163@gmail.com LinkedIn

Skills

Core Skills

Ci/cdCloud ComputingMachine Learning

Other Skills

Agile MethodologiesAmazon Web Services (AWS)AnsibleArtificial Intelligence (AI)CommunicationData ScienceDjango REST FrameworkDockerFull-Stack DevelopmentGoogle Cloud Platform (GCP)JenkinsJiraKubernetesLeadershipMicrosoft Azure

About

As a DevOps Engineer with a background in Data Science from the University of Aberdeen, I specialise in optimising deployment pipelines and enhancing system reliability. At CloudEQ Software India Pvt Ltd, I successfully reduced deployment times by 30% and improved system uptime to 20%, all while implementing automation scripts in Python and Docker. My expertise in CI/CD, cloud solutions, and machine learning allows me to create efficient workflows that elevate business performance. I am passionate about leveraging data and technology to drive innovation and deliver impactful solutions in dynamic environments.

Experience

Cloudeq

DevOps / AI/ML Engineer

Jul 2022 – Dec 2024 · 2 yrs 5 mos · Chandigarh, India · On-site

In my role as a DevOps / AI/ML Engineer, I successfully streamlined deployment processes, reducing release time by 30%, which significantly boosted team productivity. I implemented CI/CD pipelines using Jenkins and Docker, resulting in a 25% decrease in system downtime. Additionally, I developed machine learning models that improved predictive analytics accuracy by 30%, enhancing decision-making across projects. My expertise includes cloud computing (AWS), Kubernetes orchestration, and Python programming.

CI/CDcloud computingKubernetesPythonDockerJenkins