About
Perception Pipeline Engineer specializing in Computer Vision, Deep Learning, and LLM-driven automation for ADAS validation. Experienced in Python, CARLA, IPG CarMaker, LangChain, and PyTorch, building perception, anomaly detection, and automated scenario-generation pipelines.
Skills & Expertise (25)
Work Experience
Perception Pipeline Engineer
PEM Technologies
Jul 2025 - Present
Developed a multi-sensor perception validation framework using synchronized camera, LiDAR, and radar data for cross-sensor object tracking and anomaly detection. Designed a real-time perception pipeline to detect and track surrounding vehicles from simulated camera streams for autonomous driving validation. Implemented an SDV control pipeline using real-time simulator telemetry (speed, distance, position) to generate ego-vehicle control decisions. Engineered an LLM-driven ADAS scenario mutation pipeline (LangChain, Python) generating 100+ adversarial test scenarios per run across CARLA and IPG CarMaker, cutting manual authoring effort by 65%. Built automated KPI evaluation pipelines for perception accuracy, sensor sync, and latency, reducing mean detection time by 40%.
Education
M.Tech, Information Technology - IIIT Allahabad
2023 - 2025 · Afghanistan
B.Tech, CSE - Dr. Ambedkar Institute of Technology for Handicapped
2019 - 2023 · Afghanistan
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Skills (25)
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