Mujadid Ali

Senior Software Engineer

Automotive AI | Simulation, HD Maps, Compliance Tools for Mobility • Tiempo completo

Sep 2025 - Present • 1 yr 1 mo

• Cut HD-map validation time 92% (1 hour → 5 minutes) by building an automated ASAM OpenDRIVE (XODR) validation framework, improving map quality for ADAS and autonomous-driving applications. • Reduced HD-map labeling effort 75% by engineering a high-performance LiDAR point-cloud processing pipeline capable of handling 10–15 million points in 10–25 seconds. • Improved ADAS navigation stability in complex urban environments (overpasses, underpasses, junctions, road splits) by resolving map-matching accuracy issues and eliminating speed-limit flickering. • Modernized a legacy Unity-based HD-mapping platform into a modular architecture (core mapping services, physics engine, UI layers), improving scalability, maintainability, and migration readiness for future development. • Built geometry-based object detection algorithms to classify vehicles, traffic signs, traffic lights, poles, buildings, and roadside infrastructure from LiDAR datasets, powering autonomous-driving perception pipelines. • Delivered HD-map coverage across 41 countries, owning end-to-end release management (data processing, validation, QA, packaging, deployment) for HERE's HD Map database. • Engineered a cloud-based OTA delivery pipeline on AWS (S3, Lambda) for secure validation, testing, and rollout of map database updates. • Enhanced ECARX's Intelligent Speed Assistance (ISA) system through SOME/IP integration, map-matching improvements, and navigation-state fixes. • Strengthened software security posture by resolving critical vulnerabilities through dependency upgrades, patch management, and ongoing production maintenance.

Lead Software Engineer (Robotics)

Beko • Tiempo completo

Mar 2023 - Sep 2025 • 2 yrs 6 mos

• Accelerated distance-calculation performance 30% by optimizing the RANSAC algorithm used for real-time wall-distance estimation in the robot's navigation stack. • Cut planner-node memory usage 67%, improving system efficiency and real-time performance on embedded hardware. • Contributed 4 ideas to the company-wide IMPACT sustainability program, with 1 selected among the Top 8 projects, focused on energy-saving improvements in robotics operation. • Suggested a patent proposal in home robotics, contributing directly to the company's intellectual property portfolio. • Achieved 100% coverage of previously uncleaned zones by enhancing the discovery-cleaning feature, eliminating missed-area gaps in the robot's navigation logic. • Boosted cleaning efficiency 20% by improving the Trajectory Generation algorithm, increasing zone-cleaning coverage performance. • Cut map-creation time 40% by developing a Fast-Mapping feature, enabling quicker environment setup for new deployments.

Software Development Engineer

Sedenius Engineering GmbH • Tiempo completo

Feb 2020 - Feb 2023 • 3 yrs

• Delivered production software for ADAS and autonomous-vehicle systems, contributing to real-time perception and control functionality in the automotive industry. • Designed and implemented complex algorithms and solutions for large-scale automotive software using C++, Qt, and ROS. • Built sensor data visualization and simulation tooling for Radar, LiDAR, and Camera streams, supporting algorithm validation for autonomous-driving functions. • Boosted product performance 75% through systematic profiling and optimization using Visual Studio tools. • Maintained a 100% customer satisfaction rate while managing multiple concurrent projects and ensuring on-time delivery. • Delivered efficient, on-time releases by participating in Agile processes, including story-point estimation and sprint retrospectives. • Cut deployment time 40% by automating project deployment pipelines with Jenkins. • Improved sprint health, developer evaluation, testing accuracy, and release efficiency by 20% through cross-functional team leadership. • Applied object-oriented programming (OOP) principles and software design patterns to build maintainable, scalable automotive software. • Upheld software development best practices through Git version control and CI/CD pipeline management for reliable, repeatable releases. • Achieved 99% test coverage through test-driven development (TDD) practices and automated testing frameworks.