Ayush Thakur

Software Engineer

Bengaluru, Karnataka, India4 yrs 1 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in deploying microservices with Kubernetes.
Developed innovative AI applications for project management.
Strong background in both frontend and backend technologies.

Stackforce AI infers this person is a SaaS-focused Software Engineer with expertise in microservices and AI technologies.

Contact

Skills

Core Skills

Api DevelopmentAngularKubernetesAi AgentsTensorflow

Other Skills

JavaTerraformAWSNuxtNode.jsMongoDBVue.jsPythonVueLarge Language Models (LLM)Next.jsGo (Programming Language)Python (Programming Language)DockerComputer Vision

About

- Software Engineer with experience in designing and building production-reach web applications. - Able to quickly learn new technologies, and enjoy adapting those technologies to make them accessible to end users. Experienced in the following: - Backend development: Used Golang, Python and Java for deploying microservices. - Devops: Using kubernetes since day 1 to orchestrate microservices. - Frontend development: Built User friendly interfaces using Nuxt(vue), Nextjs and Angular. - Built multiple deep learning models from scratch , from data gathering , data cleaning to their deployment. Now just use openAI/gemini APIs along with Langchain and other exciting technologies to build some fun projects. Right now , I'm a Software Engineer at Rafay Systems in the GenAI team where we are building our GenAI platform supporting serverless inference, LLM finetuning (and a lot more) for the GPU cloud world. I am a huge sports fan so love watching and playing outdoors in my free time. Please feel free to reach out for anything!

Experience

4 yrs 1 mo

Total Experience

1 yr 9 mos

Average Tenure

6 mos

Current Experience

Cloudflare

System Engineer

Oct 2025 – Present · 6 mos · Bengaluru, Karnataka, India · Hybrid

Rafay

Software Engineer

Sep 2024 – Sep 2025 · 1 yr · Bengaluru · Hybrid

Vmware

2 roles

Member Of Technical Staff

Jul 2022 – Aug 2024 · 2 yrs 1 mo · Bengaluru, Karnataka, India

Worked on a saas offering by VMware, Cloud Director Service, deploying vCloud Director(vcd) over Kubernetes clusters across five geographical regions.
Implemented a user interface using TypeScript Angular frontend and Java Spring Boot powered APIs for VMware's cloud director service offering.
Developed a microservice empowering SREs to swiftly address and resolve production issues. Built using Java, Angular, Gradle, Kubernetes , Terraform and AWS.
Optimized a Java library for asynchronous task processing among microservices , ensuring fault-tolerant execution with robust retry mechanisms and reliable state persistence.
Automated the deployment of microservices to VMware's internal Kubernetes clusters, seamlessly integrating with AWS services such as RDS, AWS S3, Lambda functions, and CloudFront distribution to optimize system performance and scalability.
Developed a comprehensive E2E Cypress test suite for our Angular frontend, seamlessly integrating with Jenkins pipelines to proactively monitor critical failures, resulting in a substantial decrease in production incidents and ensuring application reliability.
Contributed to the Angular frontend application by implementing UI designs, increasing unit test coverage, setting up CI/CD pipelines, and containerizing the application for smooth deployments.
Came up with new features like adding dependency verification to mitigate security risks across all our microservices , graceful pod termination , build failure notifications to engage engineers etc.
Developed an AI powered JIRA workflow application using Nuxt during an internal hackathon, providing ability to have natural conversations with your JIRA issues to easily track progress.

API DevelopmentAngularJavaKubernetesTerraformAWS

Intern

Jan 2022 – Jul 2022 · 6 mos · Bengaluru, Karnataka, India

Developed a comprehensive health dashboard for VMware's Cloud Director Service, integrating project commit data, pipeline metrics, and Jenkins build information using Node.js, Angular, and MongoDB, enhancing visibility into system health and performance.
Developed a web app during a company-wide hackathon for university graduates at VMware, showcasing innovation and winning the award for best design.

AngularNode.js

Samsung r&d institute india

Samsung prism developer

May 2021 – Oct 2021 · 5 mos

Iona.ai #1 ai chatbot for new hire onboarding

Summer Intern

Mar 2020 – Jul 2020 · 4 mos · Noida, Uttar Pradesh, India

Contributed to the development and deployment of a HR assist chatbot using TensorFlow, Python, Vue, and Rasa.
Developed and fine-tuned deep learning models to optimize image recognition capabilities within the chatbot, achieving an accuracy rate of over 90% in processing and analyzing documents

Vue.jsTensorFlow