.png){kind=logo}
Jiajun Long
Junior Robotics Researcher specializing in vision-based manipulation and learning-based control
Connect with Jiajun
Jiajun already has a relationship with Reval, so a warm intro from us gets a much better response than cold outreach.
Recommended
Already have an account?
About
Robotics software candidate with experience spanning simulation (MuJoCo, Gazebo, Webots) and ROS1/ROS2 development, including hardware-oriented work on a hexapod and a Mecademic Meca500 R3 arm. Built a visually guided interactive indoor robot system using a CV pipeline plus POMDP + imitation learning with PPO-based residual RL, and has practical debugging experience improving LiDAR SLAM stability and migrating sensor interfaces from ROS1 to ROS2.
Find your next great hire
Our AI agents source, screen, and vet candidates for your open roles. Get qualified candidates within 48 hours.
Key Strengths
- Built an end-to-end MuJoCo simulation system for a visually guided interactive robot project
- Implemented learning pipeline combining imitation learning with PPO-based RL residuals under a POMDP formulation
- Hands-on ROS1/ROS2 experience across simulation and hardware-oriented projects (hexapod, robotic arm)
- Successfully migrated a six-axis force sensor interface from ROS1 to ROS2 and validated data consistency
- Debugged and improved LiDAR SLAM stability via sensor data inspection and mapping parameter tuning
- Implemented and tuned classical motion planning (Dijkstra, A*) using costmap/planning parameter validation
- Demonstrates fast ramp-up on new tools via documentation-first learning and small validation projects
Like what you see? We'll introduce you to Jiajun directly.
Experience
Education
Awards
Skills
Languages
Publications
1 publication
Similar Candidates
Junior Software Development Engineer specializing in AI/ML and distributed systems
Shrey Wadhawan
Entry-Level Software Engineer specializing in systems, networking, and ML
“Robotics software candidate with hands-on experience building controllers for an Autonomous Underwater Vehicle, including dual-PID control in Python with state-space modeling and a planned path to LQR. Developed ROS nodes for odometry-based localization, waypoint planning, and control command publishing, validated through a custom Gazebo/ROS simulation workflow with control-metric-driven testing. Also worked on F1Tenth simulation and scan-matching localization (PL-ICP), with additional cloud deployment experience using Docker/Kubernetes and CI/CD.”
Executive CTO and product leader specializing in enterprise AI/ML and digital transformation
Senior AI/ML Engineer specializing in GenAI, agentic systems, and healthcare AI
Intern Biomedical Data Scientist specializing in healthcare AI and LLM-based clinical NLP
Interested in Jiajun?
We'll personally introduce you - no strings attached.
Build your dream team with Reval
Our AI agents source, screen, and vet candidates for your open roles. Get qualified, high-intent candidates on your desk within 48 hours.
Discover more candidates like Jiajun
Search across thousands of pre-screened, high-quality, high-intent candidates on Reval.
Search Talent