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AS
Aditya Shah
Junior Machine Learning Engineer specializing in computer vision and robotics
San Jose, CAGraduate Research Assistant Behavior, Accessibility, and Technology Lab SJSU1 years experienceJuniorTechnologyArtificial IntelligenceRobotics
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About
Research assistant who single-handedly built and integrated an indoor autonomous wheelchair system using NVIDIA Jetson Nano, LiDAR, and a stereo camera. Implemented a multi-sensor perception pipeline (OpenCV/PCL) with ROS-based modular nodes, TF frame management, and robust debugging via RViz/rosbag, plus simulation testing in Gazebo and Dockerized environments for portability.
Experience
Graduate Research Assistant Behavior, Accessibility, and Technology Lab SJSUBehavior, Accessibility, and Technology Lab (SJSU)
Machine Learning InternPhotoShelter
Graduate Research Assistant, Wildfire Research CenterWildfire Research Center
Machine Learning InternZippit
Teaching Assistant for ME230 and E10San Jose State University
Education
San Jose State Universitymaster, Computer Engineering (2026)
Nirma Institute Of Technologybachelor, Electronics and Communication Engineering (2024)
Key Strengths
- End-to-end integration of perception + control stack for an autonomous wheelchair
- Built modular ROS architecture (sensor/perception/fusion/control) with clean topic interfaces
- Strong sensor fusion rigor: RViz validation, timestamp matching, noise filtering, confidence gating
- Systematic real-time debugging using rosbag replay to reproduce and isolate issues
- Resolved sim-to-real performance gaps via smoothing, hysteresis, and decoupled control rates
- Hands-on deployment readiness via Dockerized ROS environments
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