Sonali Singh

Results-driven Software Engineer with 2.9+ years of experience building scalable full-stack, cloud-native, and AI-powered developer platforms at Mercedes-Benz R&D India. Expertise in React, Java, Spring Boot, Python, Kubernetes, and enterprise GenAI integrations (LLM APIs, RAG, AI Agents).

Consistently delivered measurable impact: 80% faster incident resolution, 50% reduction in manual effort, and 35% faster deployments. Recognized with Bronze Medal, Employee of the Month, and One Team Hidden Award.

Software Engineer - Mercedes-Benz Research and Development India - Bengaluru, India

(2023-08)

• Led end-to-end development of an Access Management Platform (SSO & RBAC) enabling secure onboarding for 200+ users across 6+ tools; reduced manual access provisioning by 50%.
• Built a Security Compliance Dashboard integrating SonarQube, Black Duck, Polaris, SecHub & Harbor with hourly data ingestion, supporting 100+ projects and processing 10,000+ records/day; reduced investigation time by 40%.
• Architected and optimized CI/CD pipelines using Docker, Kubernetes, Jenkins, GitHub Actions & Argo CD, improving deployment speed by 35%.
• Designed an AI-powered DevOps Incident Resolution Agent using enterprise LLM APIs, knowledge retrieval & log correlation; reduced CI/CD failure investigation from 20–30 min to <5 min (~80% faster).
• Managed 50+ container images and 100+ artifacts via Harbor & Artifactory, ensuring full traceability and compliance.
• Enforced SonarQube quality gates across 20+ repositories, reducing critical vulnerabilities by 30%.
• Grew test coverage from 55% → 95% using Jest, JUnit & Mockito; cut integration defects by 25% via Pact Flow contract testing.
• Built and maintained Power BI dashboards tracking 25+ KPIs, saving the team 20+ hours/month.
• Built a centralized platform for discovering, installing & managing DevOps, IAM & infrastructure plugins using React (TypeScript) and Spring Boot (Java), serving 50+ teams.
• Developed microservices & REST APIs for plugin lifecycle management across 30+ plugin types (installation, config, status tracking, updates).
• Implemented automated provisioning workflows with failure detection & real-time tracking, cutting manual setup effort by 30–40%.
• Developed an agentic AIOps platform using Python, FastAPI, enterprise LLM APIs & RAG to diagnose failures across SonarQube, Harbor, Pact Flow & GitHub Actions.
• Combined rule-based reasoning, prompt engineering, vector retrieval & knowledge-base correlation for accurate root-cause analysis and actionable remediation recommendations.

B.E. - Computer Science Engineering - SJB Institute of Technology, Bangalore