
Pavan Kumar
@pavankumar51
I build GenAI-driven test automation and static-analysis solutions for safety-critical automotive software.
What I'm looking for
At Mercedes-Benz R&D, I build GenAI workflows for scenario-based test case generation, using prompt engineering and context enrichment to increase efficiency from 20% to 60% and reduce creation time by 50%.
As Product Owner for GenAI initiatives, I lead a five-member cross-functional team, shape roadmaps, prioritize features, and train engineering teams to integrate AI tooling into existing workflows. I also refined prompts and validation rules to reduce review and rework effort by 30%.
My automotive software background includes static analysis and verification work at Continental Automotive Components and Tech Mahindra for airbag control units and ZF Electric Park Brake software. I've resolved hundreds of findings using tools including Astrée, Polyspace, QAC, and Absint Stack Analyzer, improving analysis quality and reducing defect leakage.
I'm also the inventor on a filed Indian patent for a Generative AI framework that creates ADAS test scenarios from functional requirements and historical test-case data. I combine embedded C and Python experience with technical leadership, product ownership, and a focus on making safety-critical verification faster and more effective.
Experience
Work history, roles, and key accomplishments
Senior Technical Lead
Mercedes-Benz R&D
Sep 2022 - Apr 2026 (3 years 7 months)
Developed GenAI workflows using advanced prompt engineering and context enrichment, boosting test case generation efficiency from 20% to 60% and cutting creation time by 50%. Orchestrated a 5-member cross-functional team as Product Owner for GenAI initiatives, shaping the roadmap and delivering AI-driven test automation capabilities.
Evaluated task and interrupt stack usage with Absint Stack Analyzer, improving stack usage accuracy and preventing potential runtime failures. Led Software Verification COE initiatives by training teams on static analysis concepts, tools, and best practices, increasing organization-wide adoption.
Performed static analysis on Airbag Control Unit software using Polyspace and QAC, resolving 150+ findings and reducing downstream defect leakage by 35% across safety critical modules. Coordinated with global counterparts on project planning and issue resolution, and evaluated static-verification tools that improved analysis accuracy and cut verification turnaround time by 25%.
Led a 4-member team in integration-level verification for ZF's Electric Park Brake (EPB) software, covering Polyspace/QAC analysis, resource-estimation activities, and resolution of static-analysis findings. Built complete EPB software packages by compiling supplier files, generating libraries, and producing binaries, maps, logs, and measurement files, delivering validated integration checkpoints
Education
Degrees, certifications, and relevant coursework
Birla Institute of Technology and Science, Pilani
Master of Technology, Software Systems
2015 - 2017
Master of Technology in Software Systems from Birla Institute of Technology and Science, Pilani, from July 2015 to June 2017.
Canara Engineering College, Mangalore
Bachelor of Technology, Electronics and Communication
2010 - 2014
Bachelor of Technology in Electronics and Communication from Canara Engineering College, Mangalore, affiliated with Visvesvaraya Technological University, from September 2010 to July 2014.
Availability
Location
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Social media
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Skills
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