Kiran kumar Tungala

Senior Engineer with nearly 10 years of progressive experience bridging AI/ML Engineering, Generative AI solutions, and DevOps platform reliability. Specialized in AI Search optimization, Retrieval-Augmented Generation (RAG) workflows, autonomous AI Agent tooling, and scalable cloud infrastructure. Proven track record of deploying production LLM capabilities using PyTorch, LangChain, and Vector Databases, orchestrating automated CI/CD pipelines, and reducing operational manual effort by 40% across enterprise environments.

Senior Software Engineer (AI Search & Platform) - ServiceNow Software Development India Pvt Ltd - Hyderabad, India

(2022-07)

• AI Search & ML Integration: Engineered and optimized enterprise-scale AI Search architectures utilizing Vector Databases and custom retrieval pipelines, improving search relevancy and retrieval accuracy across production environments.
• GenAI & Workflow Automation: Developed production RAG workflows using Python, LangChain, Integration Hub, and Flow Designer to automate complex incident resolution, reducing manual operational effort by 40%.
• AI Agent & Tooling Development: Built autonomous AI Agent tooling connected to Model Context Protocol (MCP) and observability pipelines, enabling automated diagnostic routines and platform self-healing.
• High Availability Deployments: Executed zero-downtime blue-green deployment strategies for mission-critical AI models and enterprise platform releases.
• Observability & L2 Support: Designed centralized Grafana and ELK dashboards for real-time AI Search query analysis, while managing L2 incident response to maintain 99.9% system uptime.

DevOps Engineer - DBS Asia Hub 2 Pvt Ltd - Hyderabad, India

(2021-10 - 2022-07)

• CI/CD Pipeline Engineering: Architected and scaled automated CI/CD pipelines for enterprise-grade financial systems, accelerating software delivery velocity by 30%.
• Deployment Controls: Automated RPM artifact size validation and deployment gating using Control-M integration, reducing production deployment failure rates by 25%.
• Automated Testing: Developed custom Python and Selenium automated test suites to validate build stability and deployment integrity during environment refreshes.

DevOps Engineer - HCL Technologies - Noida, India

(2016-09 - 2021-10)

• Infrastructure Automation: Automated server provisioning and configuration management workflows across large-scale clusters using Ansible and Puppet.
• Virtualization Migration: Successfully migrated virtualization nodes from KVM to oVirt, optimizing compute resource allocation and improving VM performance efficiency by 20%.
• Performance Tuning: Diagnosed and resolved critical system bottlenecks involving CPU, memory, and storage I/O across hybrid Linux environments.
• Storage Optimization: Managed Linux storage configurations, LVM volume expansions, and high-availability NFS setups across enterprise storage arrays.

Bachelor of Technology - Computer Science & Engineering - JNTU Kakinada (2014)