No cost, no commitment - we'll make a personal intro
KT
Karina Ting
Junior Mechanical Engineer specializing in robotics, controls, and tactile sensing
Stanford UniversityStanford UniversityOrinda, CA1 Years ExperienceJunior LevelWorks On-Site
Connect with Karina
Karina already has a relationship with Reval, so a warm intro from us gets a much better response than cold outreach.
Typically responds within 24 hours
Recommended
Already have an account?
About
Robotics engineer/researcher from Stanford’s Assistive Robotics and Manipulation Lab who built a custom tactile-sensing gripper system and ROS 2 data pipeline to classify the number of thin material layers grasped using a transformer-based model. Has internship experience at Motiv Space Systems building ROS 2 hardware abstractions for BLDC motor dynamics simulation, plus hands-on SLAM and manipulation work in Gazebo/MoveIt-based projects.
Hire with Reval
Find your next great hire
Our AI agents source, screen, and vet candidates for your open roles. Get qualified candidates within 48 hours.
MATLABPythonC++GitPrototypingDockerMechanical EngineeringRoboticsKinematicsLinear Dynamical SystemsMechatronicsDecision Making Under UncertaintyFeedback ControlRobotic ManipulationRobot Autonomy
Languages
English
Publications
1 publication
Optical tactile sensingRobotic manipulationTransformer-based classification for material layer detection
Intern software engineer specializing in AI, cloud, and full-stack systems
Fremont, CA2y exp
Fox CorporationArizona State University
“Engineer with experience at Fox Corporation and Qualcomm, focused on production automation and AI-powered systems. At Fox, they built a serverless Bedrock Operations CoPilot for broadcast/media operations that centralized fragmented operational data and cut incident investigation time by 50-60% across distributed teams and stations. They also bring applied LLM experience from Qualcomm, where they worked on a safer RAG-based learning assistant for children with autism spectrum disorder.”
Junior AI/ML & Full-Stack Engineer specializing in LLMs and RAG systems
San Francisco, CA2y exp
Checksum AIUC Riverside
“Forward-deployed engineer who built a production AI drone-control chatbot that lets users fly a drone via natural language while viewing a real-time feed. Implemented RAG over drone SDK documentation (vector DB + top-k retrieval) and LoRA fine-tuning, with a focus on latency, token efficiency, and cost reduction, and regularly works with non-technical clients to integrate and explain AI system architecture.”
Intern Robotics/Controls Engineer specializing in ROS 2 SLAM, PLC automation, and IoT systems
Indianapolis, IN3y exp
Eli LillyUC Berkeley
“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.”