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Aayushi Singh
Intern AI/ML Engineer specializing in robotics and computer vision
Los Angeles, CAResearch Intern (AI/ML)0 years experienceInternArtificial IntelligenceRoboticsHealthcare
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About
Worked on Sophia the humanoid robot, building production animation pipelines and enhancing human-robot interaction via perception and behavior orchestration. Experienced in stabilizing noisy perception-driven state transitions and designing smooth, user-centered behavioral flows, collaborating closely with artists, animators, and experience designers to translate creative intent into measurable system behavior.
Experience
Research Intern (AI/ML)University of Southern California
Research Intern (AI/ML)Hanson Robotics
Machine Learning Research AssistantUniversity of Southern California
Software Development Intern, Front End Development TeamBoltIOT
Data Science & Analytics Intern, Development TeamKnowledge Solutions India
Research Intern (AI/ML)University of Southern California (USC)
Machine Learning Research AssistantUniversity of Southern California (USC)
Mission Science VolunteerUSC K-12 STEM Center
Deputy President - USC Association of Indian Students(AIS)USC Association of Indian Students (AIS)
Research Intern (AI/ML) – NVIDIA Grant Research x Hanson RoboticsUniversity of Southern California (USC)
Research Intern (AI/ML) – NVIDIA Grant Research x Hanson RoboticsHanson Robotics
Research Intern (AI/ML) – NVIDIA Grant Research x Hanson RoboticsNVIDIA
Education
University of Southern Californiamaster, Computer Science (2025)
University of Mumbaibachelor, Engineering (2023)
University of Southern California (USC, Viterbi School of Engineering)master, Computer Science (2025)
Key Strengths
- Built and deployed production animation pipelines for a humanoid robot (Sophia)
- Designed and extended a rules-based behavior orchestrator coordinating perception, speech, and animations
- Stabilized behavior under noisy perception inputs using thresholds and intermediate states
- Improved interaction smoothness via timing buffers, contextual checks, and gradual state transitions
- Reliability-focused testing with simulated scenarios and edge cases; tracks latency and error recovery
- Robust handling of rapidly fluctuating perception signals using debounce windows
- Translates creative/UX goals (calm, presence, flow) into measurable system behaviors through iterative feedback
- Built and debugged animation retargeting and batch import systems for robotics simulation assets
- Solved complex bone/channel mismatches via custom mapping layer with axis corrections and offsets
- Developed custom ROS 2 pub/sub nodes for joint commands, animation triggers, and state feedback in Isaac Sim
- Fixed ROS bridge/TF2 timing and frame alignment issues
- Debugged real-time playback lag/jitter by profiling message rates/timestamps and synchronizing sim time with ROS time
- Standardized distributed robot communication using ROS 2 topics/message types and TF2 frames
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