Praneeth Katuri

Software Engineer

Hyderabad, Telangana, India5 yrs 5 mos experience

Highly StableAI Enabled

Key Highlights

Architected petabyte-scale real-time data platforms.
Developed AI agents for dynamic data visualization.
Redesigned application release processes, boosting efficiency.

Stackforce AI infers this person is a SaaS-focused engineer with expertise in real-time analytics and AI-driven solutions.

Contact

Skills

Core Skills

Distributed Computing FrameworksBig DataGo (programming Language)Google Cloud Platform (gcp)Real-time AnalyticsAiData VisualizationJavaDevopsAutomationInfrastructure ManagementKubernetesMicroservicesSecurity ManagementData Processing

Other Skills

Databricks Delta Live TablesApache PinotNatural Language ProcessingRedisArgoCDFluxTelemetryCyberArk ConjurDistributed SystemsReact.jsC++PrometheusGrafanaElasticsearchPyTorch

About

Platform & AI Engineer building intelligent systems that make complex analytics intuitive and accessible. Currently architecting real-time analytics infrastructure and AI-powered data exploration tools at petabyte scale. Passionate about the intersection of large language models, autonomous systems, and data platforms.

Experience

5 yrs 5 mos

Total Experience

2 yrs 2 mos

Average Tenure

1 yr 1 mo

Current Experience

Anyscale

Software Engineer

May 2025 – Present · 1 yr 1 mo · India · Hybrid

Distributed Computing FrameworksBig Data

Zamp

Software Engineer

Apr 2024 – May 2025 · 1 yr 1 mo · Bengaluru, Karnataka, India · On-site

Architected and implemented a full-stack SaaS analytics platform from ground up, designing the end-to-end system architecture including authentication, authorization, and user management layers. Engineered a petabyte-scale real-time data platform using Databricks Delta Live Tables and Apache Pinot, enabling seamless ETL operations, materialized views, and interactive dashboarding capabilities with sub-second query performance.
Led the development of an autonomous dashboarding AI agent that interprets natural language analytics queries to dynamically generate and optimize visualizations. Engineering the agent’s reasoning layer to perform context-aware data exploration and metric computation.

Go (Programming Language)Google Cloud Platform (GCP)

Cisco

2 roles

Software Engineer II

Promoted

Sep 2022 – Apr 2024 · 1 yr 7 mos

Redesigned the application release process to enable automated and parallel deployments, significantly minimizing dependencies. The new architecture cut release times by 70% and accelerated the dev-test cycle by 40%, significantly boosting team agility and productivity.
Spearheaded the strategic transition from Flux to ArgoCD across 15 production clusters, enhancing resource visibility and ensuring seamless integration with our core infrastructure. By capitalizing on ArgoCD’s self-healing features and its intuitive UI, we achieved a 30% decrease in incident resolution times, markedly boosting operational efficiency.

JavaRedisDevOps

Software Engineer

Jan 2021 – Sep 2022 · 1 yr 8 mos

Led the overhaul of Cisco’s secrets management platform using a Kubernetes operator to securely sync 8,000+ secrets with CyberArk Conjur. This transitioned password rotations from manual updates across 40+ clusters to a centralized system, greatly enhancing operational efficiency. Updates on the centralised secret store are now propagated to production environments in under 60 seconds, streamlining secret synchronization.
Developed a scalable microservice to efficiently process and export millions of critical data points related to client resource consumption. By leveraging Go’s concurrency primitives to implement a fan-out pattern, I enhanced data processing speeds by 60%, enabling seamless metric processing across multiple clusters.

KubernetesTelemetryMicroservices