Mohammad Ibrahim

Software Engineer

Bengaluru, Karnataka, India2 yrs 1 mo experience

Most Likely To SwitchAI Enabled

Key Highlights

Expert in backend systems and AI-driven workflows.
Proven track record in improving system stability.
Strong experience with Kubernetes and cloud-native environments.

Stackforce AI infers this person is a Backend and AI Systems Engineer with expertise in Enterprise Software and Cloud Technologies.

Contact

Skills

Core Skills

Backend Systems & ApisAi SystemsFull-stack Development

Other Skills

DevOpsBackendKubernetesLangChainLangGraphAI-driven workflowsABAPRetrieval-Augmented Generation (RAG)Microsoft AzureJavaScriptJava Spring BootReactDistributed SystemsLinuxModel Context Protocol (MCP)

About

Application Engineer at SAP Labs with experience in backend systems, distributed architectures, and AI-driven workflows. I work on enterprise systems involving production debugging, system reliability, and cloud-native environments (Kubernetes / Kyma). My work spans backend development, system analysis, and improving stability of business-critical applications. Alongside backend engineering, I have worked on AI-driven systems including agentic architectures, multi-agent workflows, and retrieval-based pipelines, focusing on building intelligent and automated workflows. Key areas of experience: • Backend systems & APIs (Java, ABAP) • Distributed systems & cloud runtime (Kubernetes / Kyma) • AI systems (Agentic AI, RAG, LangChain, LangGraph) I enjoy solving complex system problems and building scalable systems that combine backend engineering with intelligent automation.

Experience

2 yrs 1 mo

Total Experience

1 yr

Average Tenure

1 yr 8 mos

Current Experience

Sap labs

Associate Application Engineer

Aug 2024 – Present · 1 yr 8 mos · Bengaluru, Karnataka, India · Hybrid

Refactored legacy backend modules in enterprise ABAP system, reducing production issue inflow by ~30% and improving maintainability
Resolved critical production issues, significantly reducing customer escalations and improving system stability
Worked on SAP Kyma (Kubernetes-based runtime), analyzing service behavior and debugging distributed systems
Designed and implemented AI-driven workflows using agentic architectures (content-based and code-based agents) leveraging LangChain and LangGraph
Built and experimented with RAG pipelines for contextual reasoning and retrieval-based systems
Owned end-to-end feature delivery including debugging, implementation, and validation in production environments

DevOpsBackendKubernetesLangChainLangGraphAI-driven workflows+3

Kickdrum

SDE Intern

Jan 2024 – Jun 2024 · 5 mos · Bengaluru, Karnataka, India · On-site

Worked on full-stack projects using Java Spring Boot, React, and database technologies
Worked with cloud technologies like Microsoft Azure for deploying, managing, and integrating application components
Strengthened skills across frontend, backend, and cloud-based development workflows

Microsoft AzureJavaScriptJava Spring BootReactFull-stack development