Experience

Experience

  • Software Engineer - sensmore, Berlin - (2025-present)
    • Lead ML and Data initiatives for the perception stack of off‑highway autonomous vehicles in harsh environments
    • Developed a multimodal Vision‑Language‑Action (VLA) model for physical AI, integrating camera, LiDAR, and language inputs for autonomous driving
    • Developed a real‑time multimodal, multitask semantic occupancy prediction network using LiDAR, radar, and camera fusion for off‑highway autonomous vehicle perception
    • Improved model performance and throughput by 15% and reduced data‑loading latency by 20% through pipeline optimization, accelerating training and inference workflows
  • Applied ML Research Engineer - Institute of Systems and Robotics, Coimbra, Portugal - (2019-2024)
    • Designed and implemented deep learning models for autonomous driving scene understanding, including 3D object detection, LiDAR semantic segmentation, panoptic perception, and sensor fusion under real world constraints such as sparse data, adverse weather, small objects and real‑ time deployment
    • Improved performance (3× speedup) and robustness in adverse weather for small‑object detection by developing novel LiDAR‑based and LiDAR‑camera fusion 3D object detection approaches
    • Achieved real‑time inference (112 FPS) on NVIDIA Jetson edge GPU for panoptic driving perception and developed LiDAR‑based 3D semantic segmentation, improving accuracy for distant objects in sparse LiDAR point clouds using retention
  • Research Intern - LAAS-CNRS, France - (2018)
  • Research Intern - LAAS-CNRS, France - (2017)
  • Junior Research Fellow - DRDO, India - (2014-2016)
  • Research Intern - Kakatiya University, India - (2012-2013)
    • Project: Development of quadcopter for search and rescue in natural disasters.
    • Mentor: Dr. Srinivas
  • Reviewer of IEEE ICRA, IEEE RAL, IEEE IV-S, ICLR Tiny Papers, MMM.