Cheshta Jain

DevOps Engineer

Jaipur, Rajasthan, India1 yr 1 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Hands-on experience in building scalable systems.
Developed a custom Large Language Model for code assistance.
Implemented CI/CD pipelines for automation.

Stackforce AI infers this person is a DevOps Engineer with a focus on Cloud and AI technologies.

Contact

Skills

Core Skills

DevopsCloud ComputingMachine Learning

Other Skills

Reliability EngineeringJavaScriptPythonDockerAWSJenkinsPrometheusGrafanaUI DesignServerless ArchitectureCI/CDPlatform ArchitectureServer ArchitectureAgentic AIContainerization

About

A girl with a love for Math! Algorithms, Cloud, DevOps, Machine Learning, and AI are goto. More than theory, I love taking ideas through the entire cycle of design, coding, deployment, and optimization. These experiences have allowed me to strengthen both my technical skills and my ability to think creatively while solving complex problems. In fun time, I enjoy exploring, how emerging technologies like AI and ML can be applied in innovative ways to address real-world challenges or just to automate anything that I do on laptop more than once! With hands-on experience in LLD, HLD, building scalable systems and automating workflows I try to fuel my creativity. As I move forward, there is a trong sense of how much more is there to learn and explore, now that the world is growing so fast. You can spot me anytime with a cup of coffee and Spotify on earplugs... Do drop a "Hi" then, for a good technical conversation. Would love that!

Experience

1 yr 1 mo

Total Experience

1 yr 1 mo

Average Tenure

1 yr 1 mo

Current Experience

Linux socials

DevOps Engineer Intern

Apr 2025 – Present · 1 yr 1 mo · Bengaluru · Remote

Designed and implemented UI dashboard for LinuxSocials Website in JavaScript.
Created Python based APIs for user services and deployed them as serverless microservices on AWS cloud.
Built and pushed custom Docker images to Docker Trusted Registry and AWS ECR for microservices.
Developed custom Large Language Model to suggest code correction and work as code help, a core feature in the app.
Fine tuned model by Low-Rank Adaptation(LoRA), prevented model hallucinations by building pretraining automations.
Implemented CI/CD pipelines using Jenkins and Python Scripts for automation.
Implemented monitoring and logging for AWS services using Prometheus and Grafana.

DevOpsReliability EngineeringJavaScriptPythonDockerAWS+4