Vetted Education Professionals in the Los Angeles Metro

“Built and owned an end-to-end VR surfing simulator in Unity/C#, integrating Arduino inputs, external tracking, and a motion platform with multisensory feedback. Deep focus on VR comfort and control stability (PD control, quaternion-based orientation, latency/jitter mitigation) validated via IMU measurements and 200+ user studies, plus some Unreal gameplay framework and replication/prediction experience.”

Tara Petrin

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Executive Marketing Leader specializing in MarTech, CRM, and digital growth

Los Angeles, CA14y exp

“Marketing/CRM professional who has built a CRM and marketing department from scratch—starting with Excel, then integrating into a formal CRM—using segmentation by geography (zip code/geofencing) and profession. Has run retention and lifecycle programs across both B2B and B2C via email/newsletters/social, with A/B testing experience and exposure to major clients including Fox and Sony.”

Atulya Bist

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Junior Data Scientist / Software Engineer specializing in LLM analytics and robotics

Los Angeles, CA3y exp

“Robotics/ML engineer who implemented TD3 and PPO in PyTorch to solve the challenging OpenAI Gymnasium humanoid-v5 MuJoCo task, including custom networks, rollout logic, and training scripts. Also has hands-on robotics coursework experience with ROS-based RRT motion planning on a real robotic arm, plus practical CI/CD and containerization experience (Docker, Jenkins, GitHub Actions). Currently exploring world models (VAE + sequence generator) using Euro Truck Simulator data.”

“Robotics software candidate focused on simulation-to-learning workflows, building a novel-view-synthesis pipeline (USCiLab3D) with a multi-modal diffusion model and a LiDAR-driven, geometry-aware sampling strategy for selecting overlapping reference views across trajectories/seasons. Also designed coordinated motion planning for two Ridgeback-Franka robots in Isaac Lab for a non-prehensile collaborative task, augmenting controller limitations with RL-based self-collision termination states.”

“Gameplay/mocap animator with acting/performance background who has owned high-fidelity mocap cleanup/polish and helped build a weapons/combat animation system across multiple character types on a Star Wars title for Disney Interactive. Established a standardized anchor/zero-pose capture protocol to streamline engine integration and cleanup, and has experience optimizing animation/VFX for low-bandwidth 3D Facebook deployments; some relevant mocap work is under NDA for private review.”

“Robotics software engineer who built the full control stack for a fleet of manufacturing/repair robots in Relativity Space R&D (perception, planning, motion control, integration, deployment). Has ROS/ROS 2 experience spanning custom SLAM (LiDAR+IMU), multi-robot coordination, and multi-drone control (Pixhawk 4, minimum-snap trajectories), with strong real-world debugging and simulation/CI testing practices (Gazebo, CI/CD, some Docker).”

Benjamin Reicher

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Director-level CG/Animation Technical Director specializing in Unreal and VFX pipelines

Los Angeles, CA9y exp

“Animation pipeline/cinematics specialist focused on Maya-to-Unreal workflows, known as the go-to person for resolving "impossible" fringe export and data-mismatch issues (FBX versions, OS differences, tool bugs). Worked on high-profile titles including Hogwarts Legacy (proprietary cinematics module), Fortnite cinematics, LEGO 2K Racers, and Judas, supporting shots end-to-end from cloth sim pre-roll to facial/body performance alignment.”

Ibrahim Kurban Ozaslan

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Junior Robotics & Controls Researcher specializing in optimization, MPC, and reinforcement learning

Los Angeles, CA

“Robotics software candidate who designed and implemented a hierarchical motion-planning and whole-body control pipeline for a 37-state Spot robot to traverse complex terrain, using Graph of Convex Sets for safe footstep selection plus optimization-based IK and nonlinear trajectory optimization for joint trajectories/contact forces. Strong in optimization-heavy robotics workflows (PyDrake, MATLAB/Simulink) and methodical debugging down to signal-level and numerical stability; has not used ROS/ROS2 yet.”

“Built and owned an end-to-end AV operations automation and dashboarding platform for USC event operations, used daily to coordinate hundreds of live events. Delivered a React/TypeScript full-stack system integrating Smartsheet APIs with strong reliability practices (typed contracts, validation/fallbacks, safe rollouts) and experience with queue-based microservice patterns (idempotency, retries, DLQs, monitoring).”

“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.”

“UCLA RoMeLa research assistant (since Oct 2025) building an embedded control and sensor-data platform for multi-robot coordination in a simulated warehouse. Deep hands-on experience with ROS on NVIDIA Jetson under RTOS constraints, secure MQTT/TLS telemetry, and SLAM performance optimization (including ORB-SLAM3) validated in Gazebo and deployed via Docker/Kubernetes and CI/CD.”

“Robotics software contributor with hands-on experience building a Gazebo/ROS(2) Mars rover simulation integrating LiDAR and image segmentation for autonomous navigation and SLAM (Nav2). Comfortable debugging low-level sim/model integration issues (URDF/XML) and building sensor-data pipelines, and has also shipped a real-world telemetry setup streaming vibration data over UDP with packet-loss mitigation.”

“Revamped a university academic calendar system into a Python-based calendar generation service, turning a weeks-long manual scheduling workflow into software that generates dozens of valid calendar combinations in under a minute. Also contributed to an Amazon search ML classifier by introducing precision/recall evaluation to better surface critical failure modes and improve prediction quality.”