Sai Santosh Kiran Teja Akana

Concurrently manage 3 ADAS V&V programs across a 12-engineer team, defining program scope, milestone frameworks, delivery roadmaps, and SOP-readiness schedules. Drive technical strategy and streamline software development processes across 3 Scrum teams, and own program-level dashboards in Jira and Confluence.

Led end-to-end V&V activities for 2 ADAS projects across ASPICE SWE.4, SWE.5, and SWE.6, achieving 100% requirements coverage with full ISO 26262 functional safety compliance. Served as primary technical point of contact for 2 OEM stakeholders in Germany, managing €1M in program billing.

Led a 7-member cross-functional engineering team through integration and qualification testing (ASPICE SWE.5, SWE.6) for safety-critical ADAS motion planning functionalities. Defined test strategies and interface verification coverage, and maintained end-to-end requirements traceability across 800+ requirements using JIRA, Confluence, and DOORS.

Executed software-level V&V for motion planning feature, validating diverse dynamic driving scenarios using GTest at unit level. Developed automated test execution and scenario modeling workflows in Python and CarMaker, and supported Euro NCAP regulatory compliance.

Served as Feature Owner for Blind Spot Monitoring Plus for Mercedes-Benz, leading regression strategies using vehicle physics-based simulation and managing DOORS traceability. Executed SIL and HIL environment testing for Collision Avoidance, Lane Keep Assist, and Active Steering Assist, and automated test result analysis using TPT.

Developed and validated ADAS features (Dynamic Radar Cruise Control, Park Assist, Blind Spot Monitoring) using camera, radar, and LiDAR sensor inputs across complete bench and in-vehicle integration test cycles. Led CAN data acquisition and analysis using CANoe, and contributed to early-stage development of wireless camera and E-mirror technologies.

Evaluated ADAS Level 2 features (ACC, LKA, AEB, BSM) through structured open- and closed-course testing on pre-production and prototype vehicles, supporting OEM integration sign-off. Utilized CANalyzer for CAN data acquisition and lab log analysis, contributing to hardware validation and diagnostic verification.

Master's in automotive systems engineering with emphasis on automotive technologies, vehicle packaging, and ergonomics.

Bachelor's in mechanical engineering with emphasis on engineering mechanics, I.C. engines, and CAD/CAM.