Pavan Kumar

• Developed GenAI workflows using prompt engineering and context enrichment, boosting test‑case generation efficiency from 20% to 60% and cutting creation time by 50%. • Standardized AI‑generated outputs by refining prompts and validation rules, reducing review and rework effort by 30%. • Led a 4‑member cross‑functional team as Product Owner for GenAI initiatives, defining roadmaps and delivering AI‑driven automation capabilities. • Trained engineering teams on GenAI adoption, prompting strategies, and work

• Evaluated task and interrupt stack usage using Absint Stack Analyzer, improving stack accuracy and preventing potential runtime failures. • Led Software Verification COE initiatives, training teams on static analysis tools and best practices, improving organization‑wide analysis quality. • Managed JIRA‑based defect tracking, change requests, and KPI dashboards, reducing reporting delays by 40%

• Performed static analysis on Airbag Control Unit software using Polyspace and QAC, resolving 150+ findings and reducing defect leakage by 35%. • Coordinated with global teams on planning and issue resolution, and evaluated static‑verification tools that improved analysis accuracy and cut verification turnaround time by 25%.

Client: ZF Friedrichshafen AG • Led a 4‑member team in integration‑level verification for ZF’s Electric Park Brake (EPB) software, covering Polyspace/QAC analysis and resource estimation. • Built complete EPB software packages (libraries, binaries, maps, logs, measurement files) for downstream testing. • Coordinated with German, US, and Chinese ZF teams across 3 time zones, planning 10–15 work packages per release and contributing to 100% on‑time milestone delivery.