Jan 2024 – Sep 2025 · 1 yr 8 mos

• Led multiple cross-functional teams owning critical platform capabilities across infrastructure
• (Azure, Kubernetes etc.), users and license management, release/install/upgrade workflows (Gitops),
• observability (Grafana), cost tracking and reduction, PII scrubbing, data processing platform (Airflow),
• self-service dashboards, config management, RBAC, platform security, and shared services (e.g., Postgres, Redis, RabbitMQ)
• Architected, orchestrated, and delivered a complete product transformation from a single-tenant to
• multi-tenant deployment architecture, improving scalability (ingesting up to 150 GB/day per cluster),
• reduced infrastructure and maintenance cost
• Reduced infrastructure cost per user by 40–50% through various org-wide technical programs focused on multi-tenancy, auto scaling, infrastructure optimization and observability stack migration (Datadog → Grafana)
• Owning org-wide security programs to drive vulnerabilities remediation, container hardening, WAF
• (Web Application Firewall) integration, penetration test certification etc.
• Enabled product deployment in customer-managed Azure environments with minimal architectural
• deviation from Soroco’s SaaS offering, unlocking hundreds of thousands of dollars in new revenue
• without requiring custom builds

Aug 2022 – Jan 2024 · 1 yr 5 mos

• Led a team of engineers to transform product from a monolith to a cloud-native architecture,
• significantly improving reliability and scalability, and reducing portal downtime by 90% for SaaS
• deployments
• Accelerated product release velocity by converting a manual, days-long, cross-functional release process into automated pipelines reducing release time from few days to few hours
• Built a GitOps-based automated deployment management system, enabling 60–80 deployments to be managed efficiently by a small SRE/DevOps team, significantly improving scalability, consistency, and operational efficiency, while reducing human errors and cutting time-to-market from few weeks to
• just a few days post-release
• Replaced a custom-built data processing framework with Apache Airflow, enabling faster development across teams by leveraging Airflow’s feature-rich, extensible ecosystem and improving overall platform maintainability and scalability
• Enabled on-prem deployment by designing cloud-agnostic abstractions that work seamlessly across
• both cloud and on-prem environments, ensuring transparent integration for the broader engineering team without conditional logic. Unblocked adoption by large enterprise clients with strict data
• governance requirements

Mar 2019 – Aug 2022 · 3 yrs 5 mos

• Led a team of engineers building the core automation platform that powered high-code software robots, generating millions in revenue and serving several Fortune 500 clients
• Designed and delivered key platform features such as cloud-native architecture, developer-first high code automation libraries, and scalable runtime for complex automation workflows resulting in significantly higher extent of automation compared to low code automation tools

Nov 2017 – Mar 2019 · 1 yr 4 mos

• Owned and maintained core UI automation libraries. Additionally, solved complex technical challenges in automating unreliable and legacy UI applications due to random pop-ups and deadlocks, and by building advanced solutions using computer vision and OCR

Sep 2016 – Nov 2017 · 1 yr 2 mos

• Created a solution to figure out anomalies in execution of software robots in real time using machine
• learning techniques

Jul 2014 – Sep 2016 · 2 yrs 2 mos · Bengaluru Area, India

• I worked on Smart Home Solutions, making appliances to communicate with each other, with controller and with cloud.
• In my previous team in Samsung, I worked on Session initiation Protocol and security module (IP-SEC) of IMS (IP Multimedia Subsystem) commercial solution.

May 2013 – Jul 2013 · 2 mos · Hyderabad Area, India

• Outlier Filter : Built and integrated a module to filter outliers from performance data of an
• application which led to reduction in manual effort for the same
• Time stamp Markers issue : Investigated reasons for loss of data due to problems in time stamp
• markers resulting in increasing efficiency and reliability of system
• Enhanced Monkey Test Infrastructure : Designed and implemented a scalable and modular
• infrastructure to perform monkey testing of products

May 2012 – Jul 2012 · 2 mos · Chennai Area, India

• Analyzed and implemented API wrappers for accessing a scalable time series solution based on
• OpenTSDB/ HBase platform