Varsneya Srinivas

Software Engineer

Delhi, India2 yrs 9 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Proficient in deploying production-ready AI services.
Strong background in CI/CD and API design.
Experience in enhancing enterprise-level microservices.

Stackforce AI infers this person is a SaaS-focused software engineer with strong skills in AI service deployment and microservices.

Contact

Skills

Core Skills

Ai Service DeploymentApi DesignPublishing MicroserviceCi/cd

Other Skills

AlgorithmsAmazon Web Services (AWS)Apache SlingArgo CDBootstrapC++CI/CD pipelinesContinuous Integration and Continuous Delivery (CI/CD)DITAData StructuresDockerEnglishHelm ChartsJavaJavaScript

About

I am an undergrad final year student, pursuing Information Technology engineering at NSUT, Delhi. Have strong background in coding and an inquisitive mind for tech. I enjoy solving problems and would like to apply these skills to provide solutions that impact the society at a scale.

Experience

Adobe

2 roles

Software Development Engineer 2

Promoted

Jan 2025 – Present · 1 yr 2 mos · Noida, Uttar Pradesh, India · Hybrid

Deployed a production-ready AI service for internal teams with multi-region environments, database integration, and Splunk-based monitoring.
Streamlined release and deployment operations through automation, ensuring reliable and error-free rollouts.
Designed and delivered Asset Management APIs for AEM Guides, modernizing the codebase and improving reliability with comprehensive testing.

SplunkAI service deploymentdatabase integrationautomationAPI designtesting

Software Development Engineer 1

Jun 2023 – Jan 2025 · 1 yr 7 mos · Noida, Uttar Pradesh, India · Hybrid

Extended publishing capabilities to support DITA → ServiceNow Knowledge Base integration.
Improved scalability, performance, and reliability of the Publishing Microservice for enterprise use.
Standardized backend services and optimized APIs to handle large-scale datasets efficiently.
Enhanced observability and CI/CD pipelines, enabling faster, high-quality releases.

DITAServiceNow integrationscalabilityperformance optimizationCI/CD pipelinesPublishing Microservice+1