Headline

AI Engineer @ SAP | MTech BITS Pilani

About

AI Engineer at SAP Labs with expertise in building scalable backend systems and AI-powered enterprise solutions. I work at the intersection of backend engineering, automation, and Generative AI, designing platforms that simplify complex operational workflows and improve engineering productivity. My experience spans Java, Spring Boot, Python, FastAPI, OAuth2, JWT, CI/CD, Cloud Foundry, and DevOps, along with modern AI frameworks including LangChain, LangGraph, SAP AI Core, MCP (Model Context Protocol), and Retrieval-Augmented Generation (RAG). I've contributed to AI-driven platforms for incident management, automated ServiceNow workflows, and multi-agent LLM systems for intelligent root cause analysis. I recently completed my M.Tech from BITS Pilani, where my dissertation focused on agentic AI for automated root cause analysis in SAP Integration Suite, combining LLMs, multi-agent architectures, and enterprise integration. I'm passionate about building intelligent, reliable systems that combine strong software engineering principles with cutting-edge AI to solve real-world enterprise problems. I enjoy exploring AI agents, MCP servers, RAG architectures, distributed systems, and backend technologies that scale from prototypes to production.

Location

Bengaluru

AI stack

anthropic apis

claude code

claude

codex

cursor

github copilot

Work experience

AI Engineer at SAP, Aug 2024 - Present · 2 yrs 2 mos, Bengaluru, Karnataka, India, ● Engineered Agentic AI workflows integrating Wiki Pages, SharePoint, SPC and ServiceNow to provide engineers with context-aware knowledge retrieval, RCA evidence, and guided resolution steps during critical incidents and outages. ● Designed and deployed, a production-grade Flask incident and outage management platform on SAP Cloud Foundry,integrating SAP AI Core, Azure AD SSO, RBAC, and AI-assisted resolution workflows; reduced manual incident documentation effort by ~70%. ● Designed a multi-threaded ServiceNow automation framework processing 300+ incidents per shift across 4 operational areas, combined REST APIs with Playwright-based browser automation, execution guardrails, and crash-safe state persistence, eliminating ~100% of manual case acknowledgement effort. ● Led the modernization of Dynatrace JMX 2.0 monitoring by migrating CLI-based configuration to REST API-driven automation and Jenkins CI/CD, improving deployment reliability and reducing manual configuration effort by ~50% across AWS, Azure and Alibaba Cloud. ● Developed AI-powered problem report generation using SAP Joule, automating incident summarization and triage workflows to accelerate issue analysis and operational decision-making.

Martian summer intern at Persistent Systems, Jun 2023 - Sep 2023 · 4 mos

Education

Master of Technology - MTech, Computer Software Engineering, Birla Institute of Technology and Science, Pilani

B.Tech, Comp. Science with Artificial Intelligence and Machine Learning, LNCT Group of Colleges