Tanishaa Shah

About

Robotics engineer with UC Berkeley ROAR autonomous racing experience focused on real-time mapping/localization: implemented DLIO in ROS 2 and built the supporting LiDAR/IMU/GPS synchronization, TF consistency, and GPS-aligned trajectory tooling needed for reliable 3D SLAM on a physical vehicle. Also independently integrated a heterogeneous quadruped robot system at Eli Lilly spanning embedded, PLC, safety radar, Raspberry Pi, and cloud voice interfaces.

Key Strengths

• Built and integrated a real-time ROS 2 mapping/localization pipeline (DLIO + LiDAR/IMU/GPS) for a physical autonomous racing platform
• Deep expertise in sensor timing alignment (LiDAR/IMU timestamp offsets) and retiming to stabilize odometry/SLAM
• Strong TF tree/frame-consistency discipline (map/odom/base_link) validated via RViz to ensure downstream planning/control reliability
• Methodical debugging using rosbags + visualization to isolate root causes and validate fixes on recorded and live runs
• Cross-domain systems integration across heterogeneous robotics components (embedded controllers, Raspberry Pi, radar safety hardware, PLCs, cloud voice interfaces)

Experience

Education

Awards

• UCB College of Engineering Fung Fellowship & Opportunity Scholarship - University of California, Berkeley
• Charles & Anna Holder Scholarship - Purdue University
• Zimmerman Family Scholarship Award - Purdue University
• Eta Kappa Nu IEEE Honor Society - Purdue University

Skills

Languages

Memberships

• Eta Kappa Nu (IEEE Honor Society)