Devang Tomar

About Devang Tomar

Creative Software Engineer with 8 years of experience in domains including Software development, CI/CD, Networking, Cloud computing. Passionate about developing forward-thinking solutions to tomorrow\'s productivity problems. Resourceful, provides an adaptable approach to challenges and innovative solutions to complex problems. Lately, working as an LLM Developer, designing and deploying intelligent agent-based systems using LangGraph, LangChain, and custom LLM tools, while building Model Context Protocols (MCPs) to automate complex multi-cloud operations.Skill stack 🤹• Language: Python, Golang• Cloud: AWS, SAP BTP, GCP and Sovereign cloud• Infrastructure as Code: Ansible, Terraform• Monitoring: Grafana, Prometheus• Version Control: Git, GitHub• Logging: ELK, Splunk• OS: Linux, MacOS• Container and orchestration: Docker, Kubernetes, Helm• Databases: MySQL, PostgreSQL• CI/CD: Jenkins, GitHub Actions• AI: Generative AI, LLMs, MCPs, Agentic AI, Langchain, Langraph, Retrieval Augmented Generation (RAG), Multi-modal AI agents, Prompt Engineering, LangChain, LangGraph, Chainlit

Experience

1. Senior Software Engineer

   SAP

   Aug 2024 — Present · Bengaluru, IN

   Building autonomous AI agents using LangGraph, LangChain, and LLM tools to automate support and infrastructure operations.• Developed a multi-agent architecture with role-based execution, integrated guardrails, and domain-specific tool grouping without relying on conditional logic. • Worked on developing an AWS cost-optimization and vulnerability management tool with automated remediation, achieving a 53% reduction in cloud expenses through efficient resource cleanup and proactive monitoring. • Designed a Golang-based CLI tool using Cobra for exporting and saving costs across multiple SAP BTP global accounts. • Engineered solutions for anonymization and pseudonymization of sensitive logs, ensuring compliance with PI and data privacy regulations. • Automated AWS infrastructure setup using Boto3 and infrastructure-as-code (IaC) principles, reducing deployment time and configuration errors. • Streamlined application scalability and reliability by orchestrating Kubernetes clusters and leveraging Docker for lightweight deployments. • Integrated Prometheus and Grafana for system monitoring, cutting issue resolution time by 50% and improving operational visibility. • Established Jenkins and Git pipelines, boosting code quality, reducing manual intervention by 30%, and accelerating release cycles.

Education

• DIT UNIVERSITY

  Bachelor of Technology - BTech, Computer Science

  2014 — 2018