Headline

Adaptive AUTOSAR Engineer | Automation & AI/ML | Innovation @ Mercedes Benz

About

Adaptive AUTOSAR Engineer | Automation & CI/CD | AI/ML Practitioner I am a Software Engineer with 4.5 years of experience specializing in the MBOS (Mercedes-Benz Operating System) ecosystem. My expertise lies in building scalable test frameworks for Adaptive AUTOSAR and architecting end-to-end automation pipelines. Currently, I’m focused on integrating AI and Small Language Models (SLMs) to drive intelligent diagnostics and system-level innovation. # At Mercedes-Benz (MBOS), I drive Intelligent Automation & System Development where I've: - Developed an end-to-end test framework for Adaptive AUTOSAR applications using C++, C#, and CMake. I engineered the communication stack (SOME/IP, IPC, S2S) validation and authored technical specifications to ensure middleware compliance across Service-Oriented Architecture (SOA). - Engineered a zero-touch, headless framework leveraging Python and C#/.NET to automate the full test suite; transitioned manual workflows into an autonomous execution loop with real-time dashboard sync. - Designed and led a shared-runner infrastructure that consolidated multi-project test execution onto a high-utilization hardware model. This architecture eliminated redundant hardware footprints and redundant licensing, saving €5,000+ annually and earning a Bronze Award for operational excellence. - Orchestrated a sub-pipeline architecture that triggered full-release test suites automatically; this strategic automation eliminated manual tester handoffs and cut validation cycles by 7 hours per run. - Driven on-device log diagnostics as a core member of the department innovation team, focused on bridging the gap between hardware telemetry and intelligent data analysis. # Technical Specialties: Architecture & Middleware: Adaptive AUTOSAR, SOME/IP, SOA (Service Oriented Architecture), Ethernet, RESTful APIs, Distributed Systems Languages & Frameworks: C++, C# (.NET), Python, Rust, CMake, Bazel, LangChain DevOps & Automation: GitLab CI, CircleCI, Docker, AWS, Azure, GCP, Terraform, Grafana AI & Intelligent Systems: Tensorflow, Pytorch, RAG Architecture, SLMs, n8n, Hugging Face, Claude Code

Location

Bengaluru

AI stack

aistudio

antigravity

claude code

cursor

gemini

githubcopilot

Work experience

Engineer at Mercedes-Benz Research and Development India, Jun 2022 - Present · 4 yrs 4 mos, Banglore, - Engineered scalable test frameworks for Adaptive AUTOSAR middleware (SOME/IP, SecOC) using C++, C#, and CMake to ensure reliable communication in automotive systems. - Developed a "zero-touch" system using Python and REST APIs to transition manual testing into an autonomous loop, syncing results to Jira Xray for instant traceability. - Architected GitLab CI sub-pipeline strategies to automate full test suite triggers for every release, reducing manual handoffs and cutting validation cycles by 7 hours per run. - Designed a shared GitLab runner architecture that earned a Bronze Award for technical excellence; optimized hardware costs on local setups and licenses to save over €5,000 yearly. - Led innovation in on-device diagnostics as a core team member, focusing on analyzing hardware logs to improve system-level data insights.

GET at Mercedes-Benz Research and Development India, Aug 2021 - May 2022 · 10 mos, Bengaluru, Karnataka, India, - Validated core Adaptive AUTOSAR communication stacks as a member of the Core Testing Team, developing and executing automated, protocol-level test suites for Service Oriented Architecture. - Spearheaded a "Personalized Travel Experience" system for connected vehicles; engineered a recommendation engine using real-time telemetry that was nominated for patent submission and recognized by senior management.

Education

Bachelor of Engineering - BE, Electrical, Electronics and Communications Engineering, KLE Technological University - Hubballi (India)

Public links

github: https://github.com/KiranH1007

kiranh1007.github.io: https://kiranh1007.github.io/